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Additive manufacturing enables the production of complex structures with emerging approaches showing great promise in the food industry for design customization. Three-dimensional food printing has...

Wafer fabrication (Wafer Fab) involves state-of-the-art, expensive, and highly complex processes, and only little is known about its change qualification, a process that follows a strict guideline to ensure that changes will affect neither the process flow nor the quality and reliability of the final saleable wafers. This paper proposes a five-stage change qualification framework in semiconductor manufacturing. We conceptualize our framework based on a stage-gate model and define suitable stages and gates for effective decision making. Afterward, we demonstrate its robustness via a case study, which provides an elaborate example that guided a requestor who successfully went through all stages of the change qualification process in reducing the occurrence of tool alarms. Our framework is proven to be complete and ready for deployment in the industry as a standard process flow in manufacturing technology management.

Packaging is the first thing seen in a product and today many companies are focused on developing product packaging designs to compete in the market. The improvements in the type and design of packaging can be done PRIMKOPTI SWAKERTA Semanan to maintain customer loyalty. The purpose of this dedication is to provide knowledge of more environmentally friendly packaging alternatives to support the sustainable development of the tempeh industry and its processing in Semanan. Devotional activities begin with an introductory survey and then continue with training conducted online with the devotional team and tempeh craftsmen. The delivery of several training materials was done in parallel related to quality improvement, some of these materials such as the application of Good Manufacturing Practice, maintenance of production machines and food packaging. The survey results showed that 66.7 % of craftsmen use clear plastic with a simple design and some do not even use labels. The remaining 33.3 % of tempeh craftsmen use a combination of aluminium foil and plastic packaging. Alternative solutions are provided in improving the quality of tempeh products through banana leaf packaging. Banana leaves help the process of fermentation on tempeh and also increase consumer interest in buying because it is preferred. Kraft paper packaging is recommended for use because it can reduce the risk of rancidity on tempeh chips and extend the shelf life. Semanan tempeh makers can use this food packaging alternative to attract back consumers' interest that decreased during the pandemic.

The present for supporting in market any industries need to bring the balance among ecological, social viewpoints and efficient. Environmental friendly machining e.g. high pressure cooling, MQL machining, cryogenic machining, dry machining is one of the latest approach which is economical and also eco-friendly that improve machinability. In present article main focus on understanding of environmental friendly machining techniques and investigate various experiences from the past writing which can help the better appropriation of ecological friendly machining approach. For study and examination of environmental friendly machining approach, roughly 100 papers are chosen. They chose articles are ordered dependent on climate of machining, year, diaries, distributor, and ecological friendly machining approach measurements. After the literature survey it was observed that in metal cutting operation heat are generated in the cutting zone due to tool chip interface so quality of surface finish are poor and tool wear. In any manufacturing industries two factors play important role in term of quality e.g. surface roughness and tool wear so in this situation some techniques are need which is environmental friendly and also improve machinability. So finally, it was observed that environmental friendly machining techniques are cost effective and eco-friendly machining compared to other convention machining approach. The main motives of this paper that studies and encourage environmental friendly machining approach.

In the current scenario of automotive manufacturing industries, high quality and zero rejection is the point of concern. Most of the companies are using six sigma methodology to optimize the quality of the product. Shainin has proposed many competent designs of experiment (DOE) tools to identify the root cause of product variation so that optimization can be done at six sigma level. In this study, DMAIC (Define-Measure & Analysis-Improve-Control) technique along with Shainin DOE tools is applied. The component search tool is used to identify the root cause of the rear fender offset at motorbike assembly line. Assembly process is found responsible for variation during hypothesis testing. Further investigation revealed that bracket hole diameter is required to be modified. Better (B) vs Current (C) tool is applied for validation of product performance.

The design of production plants in the form of a Cyber Physical Production System (CPPS) promises rapid adaptability to changing market requirements, high flexibility during production, robust behavior in the event of failure and offers the possibility of integrating customers into the production process. In contradiction to these advantages there are both a low penetration and a still low Technology Readiness Level (TRL) of operational CPPS. This article therefore presents a production system for customized beverage bottling, consisting of industrial resources from well-known machine builders and designed as a CPPS through the use of a Multi-Agent System (MAS). The premise that all products are to be manufactured in a saleable form should clarify the claim of the CPPS to be classified as an industrial plant. Its functionality is tested through an evaluation based on two use cases with different requirements. This conceptual proof should enable the future, practice-oriented investigation of urgent questions from research and industry. As a further result, a complete test method for the development and commissioning of an CPPS, starting with the design phase and ending with a valid, reliable production system, is shown.

New product development to enhance companies’ competitiveness and reputation is one of the leading activities in manufacturing. At present, achieving successful product design has become more difficult, even for companies with extensive capabilities in the market, because of disorganisation in the fuzzy front end (FFE) of the innovation process. Tremendous amounts of information, such as data on customers, manufacturing capability, and market trend, are considered in the FFE phase to avoid common flaws in product design. Because of the high degree of uncertainties in the FFE, multidimensional and high-volume data are added from time to time at the beginning of the formal product development process. To address the above concerns, deploying big data analytics to establish industrial intelligence is an active but still under-researched area. In this paper, an intelligent product design framework is proposed to incorporate fuzzy association rule mining (FARM) and a genetic algorithm (GA) into a recursive association-rule-based fuzzy inference system to bridge the gap between customer attributes and design parameters. Considering the current incidence of epidemics, such as the COVID-19 pandemic, communication of information in the FFE stage may be hindered. Through this study, a recursive learning scheme is established, therefore, to strengthen market performance, design performance, and sustainability on product design. It is found that the industrial big data analytics in the FFE process achieve greater flexibility and self-improvement mechanism on the evolution of product design.

Manufacturing firms operating in today’s competitive global markets must continuously find the appropriate manufacturing scheme and strategies to effectively meet customer needs for various types of quality of merchandise under the constraints of short order lead-time and limited in-house capacity. Inspired by the offering of a decision-making model to aid smooth manufacturers’ operations, this study builds an analytical model to expose the influence of the outsourcing of common parts, postponement policies, overtime options, and random scrapped items on the optimal replenishment decision and various crucial system performance indices of the multiproduct problem. A two-stage fabrication scheme is presented to handle the products’ commonality and the uptime-reduced strategies to satisfy the short amount of time before the due dates of customers’ orders. A screening process helps identify and remove faulty items to ensure the finished lot’s anticipated quality. Mathematical derivation assists us in finding the manufacturing relevant total cost function. The differential calculus helps optimize the cost function and determine the optimal stock-replenishing rotation cycle policy. Lastly, a simulated numerical illustration helps validate our research result’s applicability and demonstrate the model’s capability to disclose the crucial managerial insights and facilitate manufacturing-relevant decision making.

There are many applications for deep drawing when compared to other metal forming processes. The industry uses it extensively. Deep drawing in manufacturing is the toughest process to achieve a perfect product. The material wastage is very low, making it a very cost-effective process. Defects, both in shape and position, are dimensionally deviant and pose a great problem for industries who produce their products on a mass scale. Here we review various previous studies related to effect of factors on the deep drawing process. By this we can optimize the process to get required products without compromising the Quality and may also predict the result of the process depending on assumed values or conditions of the factors. Few of the factors that we have discussed here which can affect the deep drawing process are: Friction, Blank Holder Force, Lubrication, Temperature, Shape etc. The motive of the work is to make the simpler analysis of the deep drawing process. Here we have studied how we can reduce the defects by knowing how various factors affect the Deep Drawing Process and in what ways.

This article focuses on implementing the Single Minute Exchange of Dies (SMED) method within the case study company, a local subsidy of a global producer of hygiene products. Such research was not yet done in the area of Eastern Slovakia, nor was it done for the area of hygiene produce production. The article lists unique specifics taken during the process. The results exceeded the preliminary management expectation, where a changeover time reduction by 30% was achieved. From the managerial perspective, this demonstrates that the SMED method is a mandatory approach for companies struggling with frequent and long changeover times.

Problem definition: Firms developing novel and innovative products regularly face a canonical product development and introduction problem: introduce a proven and immediately available product or delay product introduction until the successful development of an advanced version. Academic/practical relevance: Limited access to resources for the development of an advanced version adds another wrinkle to this problem, particularly for cash-constrained start-ups. For such start-ups, the introduction of an on-hand product can generate additional funds to support the development of an advanced product. However, the lower performance of the on-hand product can negatively impact the perception of the firm’s future products and lower future profitability. Methodology: We study the trade-off between revenues that an on-hand product generates for research and development funding and the negative effect it has on future profits. We characterize the optimal introduction timing of the on-hand product as a function of the financial resource constraints, the interdependence between these sequential products and the cost of development. Results: We identify important differences between the optimal product introduction strategies of a start-up and an established firm. Specifically, although it is always optimal for an established firm to accelerate the launch of a better-quality on-hand product, a start-up might find it optimal to delay its launch. The impact of technological failure and different forms of learning on the optimal strategy of the start-up are also explored. We translate our analytical findings into a managerial framework and illustrate these results using examples from the pharmaceutical and medical devices industries.

Changes in a product are necessary to guarantee high quality product and to remain competitive in the market. Engineering Change Management process ensures planning and implementation of changes effectively. Product design changes may be required in each step of product life cycle from its design to decline phase. Different tools are developed to study change propagation impact. Product architecture and change propagation path selection are the main focus areas found in methodologies developed for change management in recent years. Still, the manufacturing industry is facing challenges to control changes in implementation phase. A case study is conducted in an automotive company to understand perceived effect of product design change in manufacturing environment. Results of case study draws attention towards concerns reported, starting from raw material planning to disposition of changed part and the need for prediction of change in implementation phase across the functions, as well as in complete supply chain of automotive industry. Change propagation tools can be, if needed, extended from design phase to manufacturing environment.

Road impregnations improve energy efficiency and safety of road infrastructure. Two stages of the road impregnation life cycle are considered: analytical research and production design. At the first stage, for the selection of materials with the necessary set of properties, a computer quality management system was created, which carries out a system analysis and selection of the optimal compositions of road impregnations. The system includes promising road impregnations, their most important quality indicators with appropriate analysis methods and instruments. At the second stage of the life cycle, a modular installation was developed to obtain a new road impregnating composition. To create a pilot production of protective impregnating compositions, a computer-aided design system has been developed. The system analyzes all modular production, each module and the main elements of the module. Automation of research and design allows improving the quality of results, reducing the time of corresponding work, as well as increasing energy and resource efficiency.

The objective of this research was to develop a quality outcome matrix by exploring a systematic pattern for selecting quality tools and techniques in the Industrial Revolution 4.0, particularly in the smart manufacturing context. By conducting this analysis, the researchers found homogeneous patterns of sufficient quality case studies that can provide a basis for selecting appropriate groups of quality tools and techniques in different scenarios. Multiple case studies and an in-depth literature review were used as the research design approach. Two qualitative data collection methods were used: (1) primary data from face-to-face interviews with employees at Toyo Memory Technology and Intel Malaysia, and (2) secondary data from a previous study. Our study aimed to answer the following research question: “What are the appropriate tools and techniques concerning circumstances of quality dimensions and smart manufacturing?” Thus, our research developed a diagnostic matrix by developing an outcome matrix for selecting appropriate quality tools and techniques. The scientific novelty of this work is that this is a real-world case study describing the authors’ theoretical and practical prerequisites that can help other researchers and industrial practitioners or manufacturers in selecting the appropriate sets of quality tools and techniques for solving quality problems.

PurposeThe purpose of this paper is to explore the possibilities of improving the quality of existing maintenance task of the atomizer of milk powder manufacturing unit of a dairy plant. Looking to the past business volume and expected growth, the milk powder manufacturing unit forms a noticeable sector of processing plant. The lack of quality in maintenance standards leads to reliability losses of about 20–25% with low productivity and profit. Such facts and challenges of keeping the system in ready-state motivate a definite maintenance plan to be modeled based on a live failure analysis to be executed during shutdown or scheduled period.Design/methodology/approachThe deliverables are achieved by collecting the historical failure data i.e. downtime and failure frequencies; from January 2020 to July 2020 at Dudhsagar dairy, Gujarat, India. Reliability modeling is done in a view to understand the failure pattern behavior of the milk powder manufacturing unit. The atomizer is discriminated as a critical component based on these data and their functional failures, failure causes, effects and repercussions of failures with existing control and maintenance practices has been modeled based on live shop-floor study. Scores are assigned on 1 to 10 levels by analyzing attributes effects from lowest to highest concern respectively for every modes of failure through realistic brain-storming among maintenance team by incorporating some advanced attributes like maintainability, economic safety, economic cost and spares with basic criteria in this study. The maintainability criticality index (MCI) is narrated by these score values through multi-attribute decision-making (MADM) based failure analysis models like Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS).FindingsThe primary findings of this research work are to propose improvements in the quality of the maintenance plan of critical component like; atomizer of a milk powder manufacturing unit which is commonly representing critical component in a major range of industrial processes. The case study recommended four silent maintenance strategies i.e. scheduled maintenance scheduled discard, scheduled failure finding and redesign as a qualified maintenance plan for the atomizer based on MCI and rankings of its potential failure causes. The results are helpful in upgrading quality standards for the maintenance activities of a process industry of alike or of dissimilar kinds in accordance with the failure analysis.Originality/valueOriginality mainly consists of investigating the scope of enhancing the existing maintenance practices through actual failure analysis with the help of TOPSIS. The criteria employed in this study are probability of chances of failure, degree of detectability and degree of severity as basic criteria along with some advanced criteria like; maintainability, spare parts, economic cost, economic safety are selected based on the outcome of shop-floor study and reliability modeling. The notable past failure statistics (downtime, frequency of failures) of a milk powder manufacturing unit were recorded and these data are analyzed based on reliability to extract an explicative component i.e. atomizer.

PurposeCasting is one of the well-known manufacturing processes to make durable parts of goods and machinery. However, the quality of the casting parts depends on the proper choice of process variables related to properties of the materials used in making a mold and the product itself; hence, variables related to product/process designs are taken into consideration. Understanding casting techniques considering significant process variables is critical to achieving better quality castings and helps to improve the productivity of the casting processes. This study aims to understand the computational models developed for achieving better quality castings using various casting techniques.Design/methodology/approachA systematic literature review is conducted in the field of casting considering the period 2000–2020. The keyword co-occurrence network and word cloud from the bibliometric analysis and text mining of the articles reveal that optimization and simulation models are extensively developed for various casting techniques, including sand casting, investment casting, die casting and squeeze casting, to improve quality aspects of the casting's product. This study further investigates the optimization and simulation models and has identified various process variables involved in each casting technique that are significantly affecting the outcomes of the processes in terms of defects, mechanical properties, yield, dimensional accuracy and emissions.FindingsThis study has drawn out the need for developing smart casting environments with data-driven modeling that will enable dynamic fine-tuning of the casting processes and help in achieving desired outcomes in today's competitive markets. This study highlights the possible technology interventions across the metal casting processes, which can further enhance the quality of the metal casting products and productivity of the casting processes, which show the future scope of this field.Research limitations/implicationsThis paper investigates the body of literature on the contributions of various researchers in producing high-quality casting parts and performs bibliometric analysis on the articles. However, research articles from high-quality journals are considered for the literature analysis in identifying the critical parameters influencing quality of metal castings.Originality/valueThe systematic literature review reveals the analytical models developed using simulation and optimization techniques and the important quality characteristics of the casting products. Further, the study also explores critical influencing parameters involved in every casting process that significantly affects the quality characteristics of the metal castings.

With the constant increase of energy costs and environmental impacts, improving the process efficiency is considered a priority issue for the manufacturing field. A wide knowledge about materials, energy, machinery, and auxiliary equipment is required in order to optimize the overall performance of manufacturing processes. Sustainability needs to be assessed in order to find an optimal compromise between technical quality of products and environmental compatibility of processes. In this new Industry 4.0 era, innovative manufacturing technologies, as the additive manufacturing, are taking a predominant role. The aim of this work is to give an insight into how thermodynamic laws contribute at the same time to improve energy efficiency of manufacturing resources and to provide a methodological support to move towards a smart and sustainable additive process. In this context, a fundamental step is the proper design of a sensing and real-time monitoring framework of an additive manufacturing process. This framework should be based on an accurate modelling of the physical phenomena and technological aspects of the considered process, taking into account all the sustainability requirements. To this end, a thermodynamic model for the direct laser metal deposition (DLMD) process was proposed as a test case. Finally, an exergetic analysis was conducted on a prototype DLMD system to validate the effectiveness of an ad-hoc monitoring system and highlight the limitations of this process. What emerged is that the proposed framework provided significant advantages, since it represents a valuable approach for finding suitable process management strategies to identify sustainable solutions for innovative manufacturing procedures.

Just as in all sectors, the quality control process affects the concepts of quality, cost and customer satisfaction directly or indirectly in the automotive sector. Recently, detecting defects with image processing technology in quality control has found a wide application area. One of the manufacturing methods required in the production of some metal parts in the automotive industry is the cataphoresis coating process. Many and various types of visual defects occur at this stage. In order to notice these defects, there is a need to switch to a human-independent and technological quality control process. There are studies on how image processing technology will detect the visual defects on the part and how it will affect quality and customer satisfaction. This project aims to offer a model that defines how digital image processing with software and hardware systems will be adapted, become suitable for mass production, transportation of the parts and design the layout to cataphoresis coating process using artificial intelligence. Thus, with the adaptation of the system to the quality control process, an improvement in cost, delivery time and work efficiency will be achieved, the Industry 4.0 journey will go one step further.

Cocoa pulping currently is a process that is developed manually in several regions of Colombia, due to many farms do not have enough technology to develop the cutting and pulping of the cocoa pod, which generates delays, low performance, low quality of the cocoa derives products and economic losses. The Quality Function Deployment (QFD) method and Bibliometric analysis (BA) were applied to designing a machine for cocoa pulping for a farm in Cesar, Colombia. Firstly, a Bibliometric analysis was developed to visualize trends and hot keywords, countries, and clusters related to the Cocoa and Quality of this essential agricultural branch worldwide of scientific obtaining publication details from the Scopus database. Secondly, the QFD method was applied to translate the customer requirements into detailed requirements to perform a low-cost machine, eco-friendly, versatile, and easy to use. Finally, the design results validation was carried out through the finite analysis method using Ansys and Solidworks CAD software. The BA results show that cocoa processing is an important topic worldwide, with a fast-growing of 2.59% in the last 76 years, where around 5800 authors have been published articles related to cocoa and quality subject in different ways. From QFD results and simulations obtained on the structure of the machine of AISI 304 steel, this material supports the stresses and deformations generated in the regular use of the machine (4700 pods per hour), guarantying the satisfaction of the customers, and above all the cocoa quality and the economy of the farm producers of cocoa beans in Colombia. Finally, the results obtained demonstrate that the QFD method is a valuable tool to knowing the needs and requirements of the customers and translate thus to engineering specifications where the design group develops different proposals taking into account costs, safety, and performance of the machine through modern computational CAD software and design theories.

System requirements in the automotive industry are constantly evolving and being improved. Currently, the entire supply chain, related to the automotive industry, is subject to the fourth amendment to the technical automotive standard - IATF 16949: 2016 Quality management systems - Detailed requirements for the use of ISO 9001: 2015 in serial production and production of spare parts in the automotive industry. In IATF standard, there are advices called reference manuals that provide important guidance on the quality system in this industry - one of them is the FMEA manual. The new guidelines in this regard, developed jointly by AIAG and VDA, entered into force in June 2019. Presentation of the most important changes introduced, as well as presentation of a practical example of the conducted analysis is the purpose of the article.

The clinical use of 3D printed patient specific orthopaedic cast is of wide interest. However, design and production have problems such as production time, which can take up to 35 h, and standardized procedure considering that there are medical devices that must comply mandatory and/or voluntary standards. Moreover, the proposed procedures do not fully consider the traceability of this innovative medical device design to comply with standards and industrial proposes. The aim of this work is to propose a semi-automatic workflow for the production of the 3D printed orthopaedic casts. The procedure is oriented towards a reduction time in different phases (as scan setting, designing technique, printing orientation) of the production flow. The workflow is compliant with recognized quality standards for the production of additive manufactured medical devices. This approach offers the possibility to introduce new 3D printed medical devices in clinical practice as well as to design an optimized industrial workflow.

Purpose The conversion of fabric into a garment involves many interactions such as the selection of suitable sewing thread, optimization of sewing parameters, ease of conversion of fabric into the garment and actual performance of the sewn fabric during wear of the garment. The adjustment of all sewing parameters is necessary to ensure quality. The purpose of this paper is to define the parameters that affect seam quality comprehensively. Design/methodology/approach This study primarily focuses on the studies dealing with the effect of various parameters on-seam quality in detail. A systematic literature review was conducted. Findings The interactions between parameters may lead to different results than the effect of a single parameter. In addition, changing some parameters may have a positive effect on one element of seam quality while having a negative effect on another. For this reason, it is very important to properly select the parameters according to the specific end use of the garment products and also to consider the interactions. Originality/value The knowledge of various factors that affect seam quality will be helpful for manufacturers to improve production performance and to be able to produce high-quality seam.

Skin crackers are well known and popular as a superior regional product that can be developed. Skin crackers, better known as "Karupuak Jangek" in West Sumatra, is a typical snack that is liked and easy to find in every restaurant because it has become a favorite menu. This service aims to improve the sanitation and hygiene aspects and improve the layout of the production room by the requirements of SSOP (Sanitation Standard Operating Procedure) and GMP (Good Manufacturing Practice). The approach method offered to support the realization of the science program is training and consultation methods through lecture and discussion methods. The focus of the activity is the renovation of the production room layout and the introduction of sanitation and hygiene improvements during the production of sanitary equipment and tools. Based on the dedication to introducing appropriate technology, Mitra is very enthusiastic about improving the sanitary and hygienic aspects of production through the use of cleaning tools to clean wet production rooms and clean skin quickly and hygienically. Improvement of the cracker storage room equipped with a box container to extend the skin's shelf life after drying is a solution to one of the SSOP and GMP applications for IKM Rizky. Improvement of storage area for hygienic skin crackers and meet the sanitation aspects expected to maintain the quality of skin crackers.

This project involves the implementation of 3D printing technology on designing and fabricating food holders in the food industry. Food holders are designed to hold the food packages in the filling line for food manufacturing industries that apply retort technology. Therefore, this study aims to implement the 3D printing technology in particular FDM to fabricate food holders for the food processing industry. The approach of using this technology is focused on giving more view on the capability of 3D printing technology, aiming at reducing the overall process fabrication cost and fabrication time. Hence, the fabrication cost and time between FDM and conventional machining methods were compared. This study revealed that Organic Gain food industry was able to reduce the cost and fabrication time for the food holder up to approximately 96.3% and 72% respectively. This project gives an insight into the ability of 3D printing technology in delivering the demands of the industry in producing parts as well as the adaptability of the technology to the industry in new product development. The project was carried out successfully and the 3D printed food holder has been tested and functions smoothly

As countries interact more and more, technology gains a decisive role in facilitating today's increased need for interconnection. At the same time, systems, becoming more advanced as technology progresses, feed each other and can produce highly complex and unpredictable results. However, with this ever-increasing need for interconnected operations, complex problems arise that need to be effectively tackled. This need extends far beyond the scientific and mechanical fields, covering every aspect of life. Systemic Thinking Philosophy and the System Dynamics methodology now seem to be more relevant than ever and their practical implementation in real-life industrial cases has started to become a trend. Companies that decide to implement such approaches can achieve significant improvements to the effectiveness of their operations and gain a competitive advantage. This research, influenced by the Systemic Thinking Philosophy, applies a System Dynamics approach in practice by improving the quality control process of a pharmaceutical company. The process is modeled, simulated, analyzed, and improvements are performed to achieve more effective and efficient operations. The results show that all these steps led to a successful identification and optimization of the critical factors, and a significant process improvement was achieved., 14 pages, 19 figures, 2 tables

One of the popular creativity methods to solve technical problems is the Theory of Inventive Problem Solving, (TRIZ), however, requires a considerable investment of time. A teaching methodology for a simplified version of TRIZ (TRIZ10) has been developed for reducing learning time and improving the creative process in solving technical problems. This method has been applied in a small group of engineering design students as a proof of concept. The evaluation of the results obtained shows that students achieved adequate learning of this creative technique (75% overall efficiency). This method has led to the doubling of the number ideas developed by students compared to those generated before learning TRIZ10; further, it also improves a 10% the average degree of novelty for these ideas.

Every manufacturing company will strive to create the best quality products. This is also done by PT. CMSM, a steel company, is producing corrugated zinc products. In several production periods, the defective product values were still found that exceeded the tolerance limit value set at 0.5% in corrugated zinc products. These problems are, of course, very detrimental to the company, so it’s essential to control the quality of corrugated zinc products. This study aimed to determine the factors that cause product defects, propose plans to improve product quality, and provide managerial recommendations based on Six Sigma analysis. Data collection techniques are carried out through observation, interviews, and documentation. Based on the study results, it is known that DPO is 0.000885 and DPMO is 884.6028. At this time, the company is at the level of 4.64 sigma with CTQ (Critical to Quality) folded zinc sheet, cut size is not according to standard, thickness is not according to standard, uneven coating layer and perforated zinc sheet. Based on the analysis, five factors cause product defects: humans, machines, methods, materials, and the environment. To improve quality, the company should improve their quality control through 5W + 1H analysis, namely by providing training to employees, periodic machine maintenance and ensuring that the SOPs that have been made are implemented correctly and adequately. Keywords: six sigma, DMAIC, product defect, quality control, manufacturing

This study investigates the effect and permanency of a virtual reality (VR) based training method on complex assembly task performance and product quality. The correct assembly of a complex industrial product is crucial to reduce the production flaw in manufacturing. For this reason, a VR training set was developed for a hydraulically-controlled clutch complete set (HCCCS), consisting of 90 parts, to investigate the effectiveness and permanency of assembly training. A highly reliable measurement tool (KR-20 = 0.81) was developed to measure the participants' assembly task performance for this study. Two different experimental designs were used to firmly control threats to internal validity, such as testing, subject characteristics, maturation, and regression. One hundred and twelve factory workers who had no VR and assembly experience were assigned to the randomized post-test-only control group design (n = 56) and the randomized pre-test/post-test control group design using matched subjects (n = 56). In addition, training permanency was investigated, and the HCCCS quality reports were monitored every month for 6 months. The study results revealed that the VR-based training method reduced the training time per individual by 25% and achieved a 27.9% improvement in complex industrial assembly task performance. The quality reports also showed that the HCCCS assembly flaw rate was reduced by 89% and maintained the permanency of the VR-based training in complex industrial maintenance and assembly (IMA) tasks.

The process of production and processing and preparation for distribution of steel products is associated with the requirements of maintaining appropriate procedures. They allow, in accordance with industry standards to avoid unforeseen problems associated with the preparation, implementation and finalization of activities aimed at achieving the intended purpose, which is a finished product of adequate quality and customer satisfaction. It is not always possible in the production process to meet all the requirements and technological, organizational and human factor recommendations. The analysis of selected problems, which includes the content of the article allows to significantly determine the factors and parameters associated with the preparation and technical implementation affecting the implementation of the intended objectives of the company, i.e. achieving an appropriate level of quality and minimizing the defects in the process of steel sheet preparation. Analysis of selected parameters was made on the basis of data obtained in the company operating on the international market Company Steel Service Poland. At the request of company representatives, the name has been changed due to the production data used in the article, which may be considered as sensitive. The article contains data based on research carried out in Steel Service Poland. Selected problems are the subject of analysis of steel sheets cutting processes with the analysis of causes of customer complaints with reference to the produced steel products. Selected steel grades and factors affecting the efficiency of the technological process are presented. The analysed set of factors translates into the level of product quality and reduction of arising defects.

In general, the production processes are more and more complex. This is the result of more and more sophisticated materials used, the pressure to save them as well as other production resources (ecological perspective), also the tendency to buy mobile products lighter and less power consuming than before. In previous years using highly specialized technology was very costly for the company. Nowadays, this situation is possible to be changed because of emerging types of modern micro-controllers and variety of compatible sensors. Some of those micro-controllers are more power saving, some are more powerful in terms of computing power. The common denominator is that both purchasing them as well as programming is possible for ordinary person, a hobbyist building DIY projects. This sheds new light to the professional usage of modern micro-controllers-based solutions that can become possible to offer comparable level of precision at the fraction of cost. The authors recognized the strong potential in modern micro-controllers and made the research among professionals in the area of production companies. The outcome of research showed that the professionals share the opinion of the authors. Therefore, the outbreak of usage of such inexpensive solutions in professional applications is expected. However, the research showed, that there is possible to find single situations, where usage of modern micro-controllers may be limited, for example in the company targeted to produce hand-made products or handicraft (manufacture).

Design depends on creativity and innovation in addition to represent possible solutions to design problems to reach the best functional and aesthetic design ideas. However, thinking about design according to the standards and foundations of sciences concerned with studying nature which opens new directions for the textile printing designer and new windows of creativity and innovation based on science to meet all functional and psychological requirements of man. Therefore, modern design trends have emerged based on the study of nature. The science of nature helps the designer to understand the relationships and organizations between natural forms .So we can able to deduce design solutions by applying the standards of these sciences, including biomimicry science, which is a trend that supports advanced technology for the field of textile 3D printing . The problem is how to include the natural sciences, specifically the Biomimetic trend, in the design of 3D textile printing. Significance: 1- Studying the foundations of the biomimicry trend to add another dimension of creativity and innovation to textile printing design. 2- Identifying 3D textile printing as one of the modern methods of printing. Research objectives: - To review one of the modern trends in design and link it to the field of textile printing design. Extracting the concepts of biomicrology to use and link it to the field of 3D textile printing design. - Studying 3D printing as an advanced technology to add a new form to textile printing design. Results: 1- Modern theories create a new window to textile printing design. 2-Linking scientific theories and related scientific knowledge skills to achieve upgrading skills of the textile printing designer. 3- The use of biometric design as one of the trends that the textile printing designer should pay attention to study from a scientific perspective to achieve design solutions and compatible with nature. 4- 3D printing is a rapidly developing technology that a textile printing designer must study to create a design suitable for implementation with this technology. Recommendations: 1- Encouraging designers and students of textile printing design to study the Biomimetic trend as a direction that can be used in the design of three-dimensional textile printing. 2- The importance of inspiring the biology of living organisms and microorganisms in nature, which opens a new field for understanding aesthetic structural systems and achieving sustainability in nature. 3- The necessity of benefiting from modern natural sciences and placing them in the list of basic sciences closely related to design. 4- The necessity of communicating between the results of scientific research and its modern techniques and its rapid development with art and design to open applied plastic approaches with a distinct aesthetic practice in the field of textile printing design. 5- The need to follow the technical and scientific development of printing in its various forms, especially 3D printing, with the need to study it as a scientific method specialized in both its technological and design aspects

It became clear from the field survey carried out by the researcher for a number of factories and shops specialized in the sale of Corsets, as well as ateliers to identify the problems that facing the manufacture of the reinforced corsets in Egypt with its different dimensions and aspects, that the corsets industry in Egypt is limited to a specific type of corsets, which are shapewear, which is manufactured With Lycra and Spandex fabrics with different textile structures, they are made on machines that produce one piece. As for the corset reinforced with boning and the metal front busk, they are not produced in Egypt and are imported from abroad in a limited way and at high prices that do not suit many classes of society. It was also clear from the exploratory study and from the opinions of workers in shapewear factories. The shapewear has problems related to the patterns and their fit and conformity to the body of the Egyptian woman, in addition to the lack of production requirements and the need for the stages of manufacturing corsets for special machines, and the results of personal interviews with workers in the ateliers resulted in the importance of wearing the corset with evening wear and on special occasions to show the fabric and the body in the appropriate appearance and in a consistent manner. And help to hide the body defects, in addition to the problem of the lack of manufacturing a corset is made to order in the atelier, and the client is asked to import it or buy the Shapewear available in the market, so the current study sets practical and applicable solutions to the problems of manufacturing reinforced corsets in Egypt and trying to provide those important products in the Egyptian market by proposing and implementing a high-quality product that matches the manufacturing capabilities in Egypt and suits the Egyptian woman and meets her requirements. The research problem determined in the following questions: 1- What are the obstacles to the production of reinforced corsets industrially in Egypt? 2- What is the possibility of draping patterns of reinforced corsets that have good fit? 3- What are the detailed steps for producing reinforced corsets industrially? 4- What are the producers’ opinions about the production of reinforced corsets implemented in the research according to the two variables (technical file - the manufacturing possibility)? The research Objectives: The research aims to: 1- Determining the obstacles to the production of reinforced corsets industrially in Egypt. 2- Drape the patterns of reinforced corsets that have good fit. 3- Set the detailed steps to produce reinforced corsets industrially. 4- Measuring the opinions of producers towards the production of reinforced corsets implemented in the research according to the two variables (technical file - the possibility of manufacturing). The research Methodology: The research follows: the descriptive approach with the application because it is the appropriate Methodology that leads to solving the problem in the correct scientific method, starting from identifying the problems that hinder the manufacture of reinforced corsets in Egypt according to the polls of workers in factories, shops and ateliers using the tools of this Methodology from personal interview forms and questionnaire, and then put solutions According to the methods and techniques of the descriptive Methodology in proportion to the capabilities of the industry in Egypt and its practical application, then measuring the opinions of producers according to the tools and steps of the same Methodology on a sample of workers in garment factories towards the reinforced corsets that were designed and manufactured in this research. Research sample: The research required two types of samples as follows: 1- The exploratory sample their number (23): It consisted of workers in the administration and various production departments in ready-made garment factories that can produce corsets, as well as workers in shops, and workers in ateliers in various departments that are interested in this product, with the aim of identifying the size of the research problem and its dimensions And the total number of them was (23), where the number of workers in factories was (10), and workers in shops were (8), and workers in ateliers were (5) 2- The main sample their number (14): a sample of producers working in garment factories in Egypt with the aim of identifying their opinions towards the reinforced corsets produced in the research. Research tools: The research required building the following tools: 1- Tools of the field reconnaissance study: Personal interview forms: (3) personal interview forms were built with the aim of collecting information about the reinforced corsets and to identify the size of the research problem. This was done through direct interviews and field visits to factories their number (10) and shops their number ( 8), as well as ateliers and their number (5). 2- The basic study tool (the questionnaire): The questionnaire was designed and prepared with the aim of identifying the opinions of the producers working in the factories in terms of technical aspects, the operation file and the possibility of manufacturing the three reinforced corsets implemented in the research and expressing their opinion through this questionnaire. Results and Discussion: 1- It became clear from the results of the responses of the workers in the sample department that they were better than the responses of the quality and production supervisors with regard to the “technical file.” This can be explained that the preparation of the technical file is the specialty of the sample department, which indicates that the technical file is integrated based on scientific and practical foundations, while the quality and production supervisors only follows up on what was stated in the technical file and supervises its implementation, and this explains their less responsiveness. 2- It was found from the responses of the quality and production supervisors that they are higher than the responses of the workers in the sample department with regard to “manufacturing Possibility” and this may be due to direct friction between the quality and production supervisors and the actual production process, which confirms that the reinforced corsets implemented by research are capable of being produced in an industrial method, and that the file The operation of the three corsets is clear and accurate, while the workers in the sample department by virtue of their work are far from the process of operating the product from the specialization of quality and production supervisors. 3- The results generally indicate that the more years of experience, the higher the efficiency in the work and the awareness of its requirements, details and all its aspects, and this is confirmed by the results of measuring the two axes included in the questionnaire (the technical file of operation, and the possibility of manufacturing). 4- It is also clear from the results that the responses of the producers whose years of experience were from 10 years or more are higher than the responses of the producers whose years of experience were less in the two axes of the questionnaire. This may be due to the more experienced people’s knowledge of the technical aspects of all production stages, starting from the design form, choosing the appropriate fabric, preparing the pattern and marker, operating and calculating the final cost of the product, and putting those steps clearly and distinctly in an integrated technical file, more than those with less years of experience, and this is in regard axis (technical file), As for the axis (the possibility of manufacturing), The high responses from their experience of 10 years or more may explain that they are more able to distinguish different types of products and identify what is suitable for mass-produce in Egypt and what is appropriate for the operating steps in the industrial method, more than those with less years of experience. 5- The results of the responses of the producers with experience from 5 years to less than 10 years were higher than the responses of those with less than 5 years of experience. This may be due to the lack of sufficient knowledge of those with less experience with the technical aspects of the production stages, and their limited ability to distinguish what products are suitable for quantitative production. 6- The average scores of the second design are higher than the average scores of the first and third designs with a clear difference. This may be due to the presence of more cut lines and boning than the first and third designs, which makes it more attractive in its general form, and the distribution of boning in it makes it suitable for tightening different areas of the body, which improves the The shape of the body is greater, and this may also indicate that the design is suitable for industrial production and is marketable in the opinions of the sample of producers. The average scores of the first design are close to the average scores of the third design, and this may be explained by the fact that the two designs have fewer cuts, making it easier to mass-produce

Data-driven quality monitoring is highly demanded in practice since it enables relieving manual quality inspection of the product quality. Conventional data-driven quality monitoring is constrained by its offline characteristic thus being unable to handle streaming nature of sensory data and nonstationary environments of machine operations. Recently, there have been pioneering works of online quality monitoring taking advantage of online learning concepts in the literature, but it is still far from realization of minimum operator intervention in the quality monitoring because it calls for full supervision in labelling data samples. This paper proposes Parsimonious Network++ (ParsNet++) as an online semisupervised learning approach being able to handle extreme label scarcity in the quality monitoring task. That is, it is capable of coping with varieties of semisupervised learning conditions including random access of ground truth and infinitely delayed access of ground truth. ParsNet++ features the one-pass learning approach to deal with streaming data while characterizing elastic structure to overcome rapidly changing data distributions. That is, it is capable of initiating its learning structure from scratch with the absence of a predefined network structure where its hidden nodes can be added and discarded on the fly in respect to drifting data distributions. Furthermore, it is equipped by a feature extraction layer in terms of 1D convolutional layer extracting natural features of multivariate time-series data samples of sensors and coping well with the many-to-one label relationship, a common problem of practical quality monitoring. Rigorous numerical evaluation has been carried out using the injection molding machine and the industrial transfer molding machine from our own projects. ParsNet++ delivers highly competitive performance even compared to fully supervised competitors. National Research Foundation (NRF) Published version This project was financially supported by National Research Foundation, Republic of Singapore, under IAFPP in the AME domain (contract no. A19C1A0018).

The tremendous development in computer technology, communication technology and information circulation is an inspiring and influential source in modern design trends, which led to the expansion of design capabilities and facilitated the preparation of designs for complex shapes quickly and accurately. The design and manufacturing process is always closely linked, starting from the stage of generating the initial ideas to the final products, especially in curved and complex shapes that are difficult to implement in traditional ways, which led to the search for new ways and methods that help in preparing and implementing their designs. The widespread spread, along with the low cost of computers, has led to its increasing use in design instead of manual means, and the computer with its superior ability to deal with many, multiple and overlapping data quickly using mathematical algorithms, which in turn facilitated the architects to use Multiple methods and programs helped to prepare and develop many different types of designs and to show problems in them before starting implementation, which helped to save time, effort and money. With the help of the computer, it was possible to design and produce virtual models from ready-made full-size molds from aluminum, iron and plastic ores. The diversity in design and manufacturing programs made possible by modern technological progress has opened the way for designers and manufacturers to prepare highly innovative and quality geometric shapes and designs, and by using these programs it has been possible to translate those shapes and designs into three-dimensional models. Hence the concept and importance of digital manufacturing systems as a link between the design process and the manufacturing process, and this is what gives the current research its importance. Statement of the problem: problem of the current research emerged from the need To keep pace with the technical development in the design and manufacturing processes of metal systems to achieve effective performance and quality, which can be achieved by taking advantage of the advantages of digital manufacturing systems. Objective: exploring the role of digital manufacturing systems in the design, manufacture and production of metal systems with application to glass metal ceiling systems. Methodology: The research used the descriptive approach in theoretical studies and the experimental approach in applied studies

Machine tools play a pivotal role in the manufacturing world since their performance significantly affects the product quality and production efficiency. In the era of Industry 4.0, machine tools a...

The ‘kerem’ production process is the earliest process of the entire process in iron casting. The brake itself is a mandatory thing in an iron foundry company because it functions as a limiter of the inner diameter of an iron casting product or more simply as a hole in iron casting products. With the analysis carried out using seven tools, it is expected to be able to obtain actual data to improve the quality of brake production, look for factors that affect brake quality, control the number of rejects, countermeasures, repairs, and standardization. The biggest problems with defects in the production of brakes are porous, broken, cracked and not full sand. From the aspect of 4M + 1E, the Man factor is the dominant cause of brake defects. Meanwhile, the number of rejects outside the 2.5% AQL limit was 6 times, namely on 8 July 2021 as many as 16 pcs (AQL 2.5% was at 10 pcs). Then on July 17, 2021 as many as 15 pcs (2.5% AQL at 13 pcs) on July 18 2021 as many as 30 pcs (2.5% AQL at 2 pcs) on July 20 2021 as many as 25 pcs (AQL 2.5% was at 12.63) on 27 July 2021 as many as 20 pcs (AQL 2.5% was at 19 pcs) and finally on August 5, 2021 as many as 30 pcs (AQL 2.5% was at 12.6 pcs).

In many industries, original equipment manufacturers (OEMs) have been practicing production outsourcing to specialized manufacturing firms called contract manufacturers (CMs). Recently, with the growing research and development capabilities of CMs, OEMs have begun to delegate both product design and manufacturing to CMs. However, due to the design and conformance quality trade-off, it may be challenging for OEMs to achieve competitive levels of product quality by sending the total design and manufacturing to CMs. An increase in the level of product design quality with new technologies can decrease the level of product conformance quality with increased defects. Thus motivated, this study investigates the impact of the quality trade-off on the outsourcing decisions of OEMs. We consider a supply chain with an OEM and a CM facing the quality trade-off and analyze when the OEM benefits from product design outsourcing to the CM. Interestingly, we find that the interaction between the two quality types fosters the merit of OEM’s design outsourcing. This result suggests that CMs under design outsourcing actually can strike a good balance between the two quality levels. To promote CMs’ investment in design quality more widely, we propose an incentive-based contract and show that it can effectively enhance the benefit of design outsourcing for OEMs and CMs.

Purpose The purpose of this paper is to outline some key aspects such as material systems used, phenomenological and statistical process modeling, techniques applied to monitor the process and optimization approaches reported. All these need to be taken into account for the ongoing development of the SLM technique, particularly in health care applications. The outcomes from this review allow not only to summarize the main features of the process but also to collect a considerable amount of investigation effort so far achieved by the researcher community. Design/methodology/approach This paper reviews four significant areas of the selective laser melting (SLM) process of metallic systems within the scope of medical devices as follows: established and novel materials used, process modeling, process tracking and quality evaluation, and finally, the attempts for optimizing some process features such as surface roughness, porosity and mechanical properties. All the consulted literature has been highly detailed and discussed to understand the current and existing research gaps. Findings With this review, there is a prevailing need for further investigation on copper alloys, particularly when conformal cooling, antibacterial and antiviral properties are sought after. Moreover, artificial intelligence techniques for modeling and optimizing the SLM process parameters are still at a poor application level in this field. Furthermore, plenty of research work needs to be done to improve the existent online monitoring techniques. Research limitations/implications This review is limited only to the materials, models, monitoring methods, and optimization approaches reported on the SLM process for metallic systems, particularly those found in the health care arena. Practical implications SLM is a widely used metal additive manufacturing process due to the possibility of elaborating complex and customized tridimensional parts or components. It is corroborated that SLM produces minimal amounts of waste and enables optimal designs that allow considerable environmental advantages and promotes sustainability. Social implications The key perspectives about the applications of novel materials in the field of medicine are proposed. Originality/value The investigations about SLM contain an increasing amount of knowledge, motivated by the growing interest of the scientific community in this relatively young manufacturing process. This study can be seen as a compilation of relevant researches and findings in the field of the metal printing process.

This is a discussion about sub-processes suitable for the rearing of insect larvae on dry and semi-dry feeds. Three closely related, key aspects are dealt with as part of preliminary project design (PPD): the type of larval rearing sub-process to be employed, the reactor configuration and the operational approach to be used. A number of sub-process types and reactors are discussed. Because they are most commonly used in the industry today, all the sub-processes are ‘plug-flow’ (age stratified) and based on ‘passive’ reactors (contents moving through the reactor). Batch, semi-continuous as well as continuous sub-processes are dealt with and illustrated. Simulation to help the entopreneur chose the most appropriate type of sub-process is highly recommended.

Nowadays, customization is becoming an increasingly applicable approach for the individualization of goods made in mass production. Another trend is the technology of virtual, or contactless, shoe fitting, aimed at selecting goods in accordance with the individual anthropometric parameters of customers' feet. The article is considered to the presentation of the results of scientific developments in the field of optimization of orthopedic providing of patients using customization approaches and conceptual solutions of contactless shoe fitting technologies. As part of the study, an algorithm of shoe selection and a method for assessment of matching the internal shape of the shoe to the patient’s feet measurements have been developed. The possibilities and conditions for the application of the results obtained in the tasks of supporting orthopedic specialists in the orthopedic providing of patients on the basis of data mining in the implementation of the automated remote selection of shoes and ordering for custom shoes are presented. The reported study was funded by RFBR, project number 19-37-90152.

This article has as its theme the study of the impacts on productivity resulting from the technological updating of processes, analyzing the results of the installation of new machines in a manufacturing cell of fixed joints used in the transmission of torque from the engine to the front wheels of automobiles. This study is justified because technological innovation has a fundamental role in the search for improvements in processes and products and, consequently, in the increase of production rates in industries, so that more is produced and with less costs. The objective is to carry out a critical study of the replacement of outdated machines, with new equipment in a manufacturing cell of an automobile company, as well as to describe the impacts resulting from this substitution in the production process. Therefore, as part of the methodology, the cell's OEE was used as a parameter to extract the data and analyze the productive bottleneck. Set-up times were also measured and maintenance stops were analyzed to assess machine availability. The cycle times were timed in order to observe the performance of the cell and also, data collected on the quality of the equipment in the months under study. After collecting the data for study and analyzing the results found, the result was that the substitution generated a significant impact, mainly in the availability indicators with a 10% decrease in inherent process stops and a 39% improvement in quality. As final considerations, it was also noted the need to replace another machine to further enhance the impacts of the cell's technological innovation. Keywords: Technological innovation; set-up; performance; availability; quality.

PurposeThe present study aims to explore the relationship between manufacturing–research and development (R&D) integration and organizational culture in enhancing quality and product development performance (PDP).Design/methodology/approachBased on data collected from 931 manufacturing firms around world, the authors examine the proposed hypothesis by using regression analyses. In addition, PROCESS (SPSS macro) is used to test both the mediation and moderated mediation models in this study.FindingsThe findings reveal that quality management practices (QMPs) partially mediate the relationship between R&D-manufacturing integration and PDP. Further, it is found that the direct and indirect effects of R&D-manufacturing integration on PDP are stronger when the organization is characterized as participative rather than hierarchical.Originality/valueThis study, by investigating the combined effect of R&D-manufacturing integration and organizational culture on QMPs and PDP, provides practical insights into the ways that manufacturing firms effectively utilize the integration between R&D and manufacturing functions to improve QMPs and enhance PDP.

Integrated process monitoring and feedback capabilities for hybrid manufacturing have shown potential as a test platform for the development and implementation of the digital thread. Hybrid manufacturing alleviates the implementation of the digital thread as fewer systems are involved for a broader base of manufacturing operations. Researchers have developed coordinated process monitoring architectures to capture and leverage various existing data streams in the hybrid manufacturing process and improve the quality of manufactured components. This work is fundamentally different because it shows how common communication structures that exist on any commercial CNC can be used to enhance CNC based manufacturing processes.

Download : Download high-res image (186KB) Download : Download full-size image Edward Barbour obtained his bachelor’s degree in Physics from Oxford University and his PhD in Mechanical Engineering from the University of Edinburgh in 2013. His doctoral thesis focused on the development of ACAES and the economics of energy storage within the UK market framework. He held subsequent postdoc positions at the University of Birmingham and Massachusetts Institute of Technology. As of 2019, he is a lecturer at Loughborough University in the Centre for Renewable Energy Systems Technology (CREST), where his research is focused on thermomechanical energy storage and the future role of energy storage in the UK. Download : Download high-res image (385KB) Download : Download full-size image Daniel L. Pottie obtained his bachelor’s in Mechanical Engineering from Universidade Federal de Minas Gerais (UFMG), Brazil in 2016. In the same year, he started as a research assistant at UFMG, developing hydraulic compressed air energy storage technology. He started his MSc degree in the subject in 2018, and his thesis detailed the thermodynamic performance of a novel pumped hydraulic compressed air energy storage (PHCAES) system. He was awarded the degree in September 2019. Currently, he is a PhD candidate at Loughborough University where his research is focused on the development of competitive, efficient, and innovative adiabatic compressed air energy storage. For decades, technical literature has appraised adiabatic compressed air energy storage (ACAES) as a potential long-duration energy storage solution. However, it has not reached the expected performance indicators and widespread implementation. Here, we reflect on the design requirements and specific challenges for each ACAES component. We use evidence from recent numerical, theoretical, and experimental studies to define the technology-readiness level (TRL). Lastly, we discuss promising new directions for future technology development.

BPS-Statistics of Aceh Province routinely carries out inflation press releases. The process of preparing the press release requires a lot of time. Besides, the inflation data published in this press release was referred to by various parties such as researchers, agencies, and the mass media. Thus, the quality of the data presented must be maintained. This study is aimed at finding a more effective and efficient press release preparation process while maintaining the quality of the inflation data presented. The method used is the Business Process Improvement (BPI) regarding the 12 streamlining tools until the proposed business process is found. Furthermore, a simulation is carried out between the initial business processes and the proposed business processes that are found. This simulation proves that the proposed business process can significantly reduce press release preparation time by up to 74%. The number of business process activities decreases from 14 activities to 9 activities. On the other hand, choosing one of the streamlining tools, namely automation, is expected to be able to maintain the quality of the inflation data presented. Through this study, researchers also found that the BPI method was proven to be able to recommend a more effective and efficient business process for press release preparation

Purpose: The research aims to design a performance improvement framework for a new model of sports shoes to increase the ramp-up process time. Methodology/Approach: The approach used the problem-solving system of 8 disciplines, Single Minute Exchange Dies, Visual Management, and the Just In Time principle. Findings: By using the methods described above, the research findings will have a positive impact on the company. Model changeover time was reduced from 600 minutes to 102 minutes, and ramp-up time was reduced from 20 days to 2 days. Research Limitation/Implication: The limitation of this study was that only the CK2946 model was still done as a case study. The cost and other inhibiting factors were also not included in the discussion of this rump-up process. Originality/Value of paper: By integrating SMED, Just In Time, visual management, and using 8-Dicipline, the researcher developed a framework for improved performance for ramping up a new model of sports shoes.