20 results on '"Arredondo Soto, Karina Cecilia"'
Search Results
2. Effects of mental workload on manufacturing systems employees: A mediation causal model.
- Author
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Realyvásquez-Vargas, Arturo, García-Alcaraz, Jorge Luis, Arredondo-Soto, Karina Cecilia, Hernández-Escobedo, Guadalupe, and Báez-López, Yolanda Angélica
- Subjects
EMPLOYEE psychology ,BODY weight ,INDUSTRIAL safety ,ELECTROENCEPHALOGRAPHY ,CONFIDENCE intervals ,MANUFACTURING industries ,MENTAL health ,REGRESSION analysis ,LABOR laws ,WEIGHT gain ,COMPARATIVE studies ,CRONBACH'S alpha ,EMPLOYEES' workload ,HUMAN error ,FACTOR analysis ,DESCRIPTIVE statistics ,INTRACLASS correlation ,QUESTIONNAIRES ,FATIGUE (Physiology) ,INDUSTRIAL hygiene ,DATA analysis software ,ALGORITHMS - Abstract
BACKGROUND: Although some research has been done in the Mexican manufacturing industry regarding mental workload, none has explored its association with physical fatigue, body weight gain, and human error simultaneously. OBJECTIVE: This research examines the association between mental workload and physical fatigue, body weight gain, and human error in employees from the Mexican manufacturing systems through a mediation analysis approach. METHODS: A survey named Mental Workload Questionnaire was developed by merging the NASA-TLX with a questionnaire containing the mental workload variables mentioned above. The Mental Workload Questionnaire was applied to 167 participants in 63 manufacturing companies. In addition, the mental workload was used as an independent variable, while physical fatigue and body weight gain were mediator variables, and human error was a dependent variable. Six hypotheses were used to measure the relationships among variables and tested using the ordinary least squares regression algorithm. RESULTS: Findings indicated that mental workload significantly correlates with physical fatigue and human error. Also, the mental workload had a significant total association with human error. The highest direct association with body weight gain was provided by physical fatigue, and body weight gain had an insignificant direct association with human error. Finally, all indirect associations were insignificant. CONCLUSION: Mental workload directly affects human error, which physical fatigue does not; however, it does affect body weight gain. Managers should reduce their employees' mental workload and physical fatigue to avoid further problems associated with their health. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
3. Impact of Workload Balancing on the Sustainability of Processes in a Manufacturing Company.
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Realyvásquez-Vargas, Arturo, María Larrañaga, Perla, Arredondo-Soto, Karina Cecilia, Hernández-Escobedo, Guadalupe, and Carmina Salinas-Hernández, Amalia
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EMPLOYEES' workload ,MANUFACTURING processes ,CONSUMER complaints ,SUSTAINABILITY ,CUSTOMER services - Abstract
Nowadays, manufacturing companies are looking to improve their sustainability in the market. However, there are several factors that negatively affect it, such as workload imbalance among workers, defective parts, and customer complaints, to name a few. This paper presents a case study of a workload imbalance in a global customer complaint follow-up process in a manufacturing company, generating lagged complaints (no follow-up), which has negatively impacted the sustainability of the process. Due to this, the objective of this project is to increase the sustainability of the process by reducing the number of delayed complaints. To do this, the causes of the problem are identified. Then, an analysis of the process flow map is performed to see the current distribution of the workload among the different plants of the company. Moreover, corrective actions are implemented and followed up. Subsequently, the process is standardized, transferred by parts to the different plants, monitored for control, and the effectiveness of the actions is measured. As a result, there was an increasing trend in terms of compliance in the capture of complaints, starting with 84% and reaching 97%. Similarly, the total number of complaints received showed a decreasing trend. Finally, zero delayed/indefinite complaints (no follow-up) were obtained. Therefore, it is concluded that workload balancing has a positive impact on the sustainability of processes in manufacturing companies. [ABSTRACT FROM AUTHOR]
- Published
- 2023
4. Analysis of the Impact of the COVID-19 Pandemic on Key Supply Chain Processes Through System Dynamics.
- Author
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Ixmatlahua López, Lucero, Sánchez Ramírez, Cuauhtémoc, García Alcaraz, Jorge Luis, Realyvazquez, Arturo, Arredondo Soto, Karina Cecilia, and Jiménez Nieto, Yara Anahí
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COVID-19 vaccines ,SUPPLY chains ,SYSTEM dynamics ,CONCEPTUAL models ,ASSEMBLY line methods ,INTERNATIONAL economic relations - Abstract
The pandemic caused by the COVID-19 virus has had negative effects on different industrial sectors, the world economy and especially on Supply Chains. The pandemic revealed the vulnerability of key logistics processes of companies and their Supply Chains as operational risks increased, causing breaks in inventories, production lines and the distribution process caused by increased customer demand. However, this pandemic makes it necessary to reevaluate the models and strategies that companies had established as the standard, and more was needed to face the shortage of components, raw materials and inputs needed to keep the production processes active. Therefore, this article proposes developing a conceptual model under the System Dynamics methodology, which allows identifying the main impacts that the COVID-19 pandemic had on the performance of the Supply Chain through the design of Causal Loop Diagrams. [ABSTRACT FROM AUTHOR]
- Published
- 2022
5. System Dynamics in Supply Chains: A Bibliometric Review.
- Author
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García Alcaraz, Jorge Luis, Avelar Sosa, Liliana, Sánchez Ramírez, Cuauhtémoc, Realyvásquez-Vargas, Arturo, Arredondo Soto, Karina Cecilia, and Happonen, Ari
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SUPPLY chains ,SYSTEM dynamics ,SIMULATION methods & models ,BIBLIOMETRICS - Abstract
Supply chain simulation has been used to analyze possible scenarios, and one of the most used techniques is system dynamics, and although there are some literature reviews on this topic, the number of papers has increased in recent years, so it is necessary to analyze trends, locate the most relevant research groups, authors, and papers. This article reports a bibliometric review on the dynamic system applied to the supply chain on engineering and analyzes 519 documents found in the Scopus and Web of Science databases using PRISMA methodology and VosViewer software. Findings indicate that China, the United States of America and the United Kingdom are the countries that produce the most papers, although Cardiff University is the institution with the most consolidated research groups. The most productive authors are Towill, D.R., Naim, M.M. and Rabelo, L., although the most cited are Towill, D.R., Naim, M.M. and Wikner, J., while the Journals that most publish this topic are the International Journal Of Production Research, International Journal Of Production Economics and the Journal of Cleaner Production. [ABSTRACT FROM AUTHOR]
- Published
- 2022
6. Reducing the Ergonomic Risk Level in the Production Area of a Manufacturing Company.
- Author
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Realyvásquez-Vargas, Arturo, Arredondo-Soto, Karina Cecilia, Hernández-Escobedo, Guadalupe, García Alcaraz, Jorge Luis, and Sánchez Ramírez, Cuauhtémoc
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ERGONOMICS ,MANUFACTURING industries ,MUSCULOSKELETAL system diseases ,OCCUPATIONAL diseases ,ANTHROPOMETRY - Abstract
Musculoskeletal disorders (MSDs) are considered the leading cause of occupational disability and loss of productivity. The manufacturing industry is one of the work sectors where workers are most exposed to risk factors that can cause MSDs. This article reports the case of workers in a manufacturing company located in Tijuana, Mexico. This research aims to minimize the ergonomic risk workers are exposed to in the mechanical kick press and packaging stations. Rapid Entire Body Assessment (REBA) and Job Strain Index (JSI) methods are applied to evaluate the risk levels caused by postural load and repetitive movements before and after redesigning the stations. To redesign the stations, an anthropometric study was performed on the workers. The results show that, with the design of the new press station, the level of risk caused by the postural load is reduced from 10 (high) to 1 (negligible), while the level of risk caused by repetitive movements is reduced from 13.5 (high) to 1 (low). In the case of the packaging station, the level of risk caused by postural load was reduced from 9 to 2, while the level of risk caused by repetitive movements remained at 3. It can be concluded that the correct application of different Ergonomics tools allows for eliminating several risk factors. [ABSTRACT FROM AUTHOR]
- Published
- 2022
7. A Plan-Do-Check-Act Based Process Improvement Intervention for Quality Improvement
- Author
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Arredondo-Soto, Karina Cecilia, Blanco-Fernandez, Julio, Miranda-Ackerman, Marco Augusto, Solis-Quinteros, Maria Marcela, Realyvasquez-Vargas, Arturo, Garcia-Alcaraz, Jorge Luis, 0000-0002-8929-7319, 0000-0002-7351-5342, 0000-0002-7041-7130, 0000-0003-2825-2595, and 0000-0002-7092-6963
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General Computer Science ,Computer science ,business.industry ,Supply chain ,medical devices company ,General Engineering ,Six Sigma ,Hot stamping ,Return of investment (ROI) ,Lean manufacturing ,Manufacturing engineering ,kaizen ,TK1-9971 ,Product (business) ,Manufacturing ,deming cycle ,General Materials Science ,Electrical engineering. Electronics. Nuclear engineering ,cost reduction ,business ,PDSA ,PDCA ,Foil stamping - Abstract
Waste from raw materials has a direct influence on the final price of a product. However, since waste has no added value to products, customers are unwilling to pay for it. Reducing waste along the production process and supply chain allows companies to decrease costs and remain competitive in product prices. This research is conducted in a medical device manufacturing company located in Tijuana (Mexico). The company found a negative variation in part number 9540, a metallic foil used for hot stamping. During inventory cycle counts, the company found that they were purchasing rawer material than necessary due to a 50% of waste generated along the production process. We implemented two process improvement methodologies, namely Practical Process Improvement (PPI) and the Plan-Do-Check-Act model, to eliminate 100% of the raw material waste, specifically regarding the foil’s waste. The improvement project comprised two phases: a) adjusting the parameters of the hot foil stamping machine and b) replacing the hot foil stamping machine with a pad printing machine. In our research, the PPI methodology is presented in 8 detailed stages as a simple problem-solving method, in contrast with five stages reported in other documented cases. This case study presents how a company can apply continuous improvement programs and its managerial implications, even without having a structured and defined systems for quality, such as Six Sigma or Lean Manufacturing implemented. After the two implementation phases, the improvement project led to economic savings of $\$ $ 165,000 in a year.
- Published
- 2021
8. Design and Repair Strategies Based on Product–Service System and Remanufacturing for Value Preservation.
- Author
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Arredondo-Soto, Karina Cecilia, Jiménez-Zaragoza, Alejandro, Miranda-Ackerman, Marco Augusto, Blanco-Fernández, Julio, García-Lechuga, Alejandra, Hernández-Escobedo, Guadalupe, and García-Alcaraz, Jorge Luis
- Abstract
Remanufacturing is a production practice that requires the work of producers, consumers, and the government. There are benefits associated with this production model, such as improving the environment, opportunities for cost savings, and others. However, it is essential to identify the factors that affect the possibility of acceptance of this production model. This research proposes a model based on different analysis methodologies and techniques of SEM (Structural Equations Modeling) and the method of PLS (Partial Least Squares). A total of 403 responses to the survey were collected from 1 November 2021 to 15 January 2022. For the data treatment, SPSS, Excel, and WarpPLS software were used to identify the variables, factors, and their direct and indirect effects among the latent variables, referring to a scheme focused on consumer perception based on the acquisition remanufactured products. This created model served as a reference to create and develop a design and repair strategy for White goods or similar products in handling, logistics, and repair. This design strategy was transformed into a business model based on a circular economy, particularly on a Product–Service System with social, economic, and environmental benefits for producers and consumers. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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9. Production Capacity Increase in Medical Device Manufacturing Assembly Lines.
- Author
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Arredondo-Soto, Karina Cecilia, Realyvásquez-Vargas, Arturo, Hernández-Escobedo, Guadalupe, García Alcaraz, Jorge Luis, and Sánchez Ramírez, Cuauhtémoc
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INDUSTRIAL capacity ,MEDICAL equipment industry ,ASSEMBLY line methods ,CONTINUOUS improvement process ,ERGONOMICS - Abstract
This paper addresses the reduction of downtime in key operations. It also addresses the continuous improvement in the process without modifying the process flow, applying the DMAIC (Define, Measure, Analyze, Improve and Control) methodology. In which the information of this work will be focused, explaining the activities to be developed to improve the cycle time in the production line and at the same time to be able to cover the new customer demand. It includes in a general way the necessary validation process of the product, objectives delimited by the norms and regulations for the manufacture of medical products are raised. Engineering studies are presented in detail to determine parameters, validations to ensure equipment installations, a protocol with its respective report where statistical studies of capacity and stability of critical processes are shown. As part of the objectives, capacity was increased by 60% in the production line, reducing the cycle time of operations and eliminating bottlenecks through the implementation of new equipment and ergonomic improvements. [ABSTRACT FROM AUTHOR]
- Published
- 2022
10. Analysis of the Impact of the COVID-19 Pandemic on Key Supply Chain Processes Through System Dynamics.
- Author
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López, Lucero Ixmatlahua, Ramírez, Cuauhtémoc Sánchez, García Alcaraz, Jorge Luis, Realyvazquez, Arturo, Arredondo Soto, Karina Cecilia, and Jiménez Nieto, Yara Anahí
- Subjects
COVID-19 pandemic ,SUPPLY chain management ,SYSTEM dynamics ,ASSEMBLY line methods ,RAW materials - Abstract
The pandemic caused by the COVID-19 virus has had negative effects on different industrial sectors, the world economy and especially on Supply Chains. The pandemic revealed the vulnerability of key logistics processes of companies and their Supply Chains as operational risks increased, causing breaks in inventories, production lines and the distribution process caused by increased customer demand. However, this pandemic makes it necessary to reevaluate the models and strategies that companies had established as the standard, and more was needed to face the shortage of components, raw materials and inputs needed to keep the production processes active. Therefore, this article proposes developing a conceptual model under the System Dynamics methodology, which allows identifying the main impacts that the COVID-19 pandemic had on the performance of the Supply Chain through the design of Causal Loop Diagrams. [ABSTRACT FROM AUTHOR]
- Published
- 2022
11. Optimization of the Signal Noise Ratio index using Simultaneous Perturbation Stochastic Approximation Algorithm.
- Author
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Castillo García, Juan Carlos, Olguín Tiznado, Jesús Everardo, García Alcaraz, Jorge Luis, Díaz Reza, Jose Roberto, Realyvasquez Vargas, Arturo, and Arredondo Soto, Karina Cecilia
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SIGNAL-to-noise ratio ,SIX Sigma ,STOCHASTIC analysis ,MANUFACTURING processes ,PROCESS optimization - Abstract
This paper proposes a linear search Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm to maximize the signal-to-noise ratio (SNR) index in the least number of iterations and determine which succession measure converges and maximizes the signal-to-noise ratio (SNR) in the least number of iterations. The analysis and validation are performed with experimental simulation and validated with four case studies collected from the literature. The case studies were evaluated in ten experiments with different combinations of the succession measures a
k and ck . The results show that the proposed SPSA is an iterative, efficient, and easy to use method to maximize the quality indexes of production processes, which is feasible to implement within the six sigma methodology. Also, the results show that experiments 3 and 5 converge to the best results in the four case studies analyzed. [ABSTRACT FROM AUTHOR]- Published
- 2021
12. Effects of Technological Factors and Mental Workload in Online Higher Education Students’ Academic Performance.
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Realyvasquez Vargas, Arturo, Arredondo Soto, Karina Cecilia, Luis García-Alcaraz, Jorge, Díaz Reza, José Roberto, and Olgín Tiznado, Jesús Everardo
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ACADEMIC achievement ,ONLINE education ,COVID-19 pandemic ,EDUCATIONAL technology ,SUSTAINABILITY ,HUMAN-computer interaction - Abstract
The pandemic caused by Covid-19 has led university students in Mexico to take their classes online, where they have to interact with furniture and computer equipment different from the one that exists in classrooms. Interaction with such furniture and equipment can be uncomfortable and have an impact on the students’ Academic performance. Therefore, this article aims to determine the impact of Desk / Table design, Chair design, and Human-computer interaction (antecedent variables), as well as the Mental workload (mediating variable) on university students’ Academic performance (consequent variable) during the Covid-19 pandemic. A questionnaire is developed and applied online to 167 university students, and three mediation models were built where seven hypotheses are included. These hypotheses were statistically validated by applying the ordinary least squares regression algorithm. The results indicated that the three antecedent variables have a significant direct effect as well as total effects of 0.21, 0.14, and 0.49, respectively, while total effects of 0.22, 0.17, and 0.49 on the university students’ Academic performance. The indirect effects were negligible. It is suggested that the three antecedent variables play an essential role in the sustainability of university students. [ABSTRACT FROM AUTHOR]
- Published
- 2021
13. Effect of Green Supply Chain Management Practices on Environmental Performance: Case of Mexican Manufacturing Companies.
- Author
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García Alcaraz, Jorge Luis, Díaz Reza, José Roberto, Arredondo Soto, Karina Cecilia, Hernández Escobedo, Guadalupe, Happonen, Ari, Puig I Vidal, Rita, and Jiménez Macías, Emilio
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SUPPLY chain management ,PARTIAL least squares regression ,ENVIRONMENTAL management ,STRUCTURAL equation modeling ,ENVIRONMENTAL economics ,OFFSHORE assembly industry - Abstract
Managers implement several Green Supply Chain Management (GSCM) practices to improve sustainability and economic performance, such as environmental management systems (EMS), eco-design (ED), source reduction (SR) and attending to external environmental management (EEM) requirements; however, the relationship among them requires a deep study. This paper reports the case of the Mexican maquiladora industry, analyzing the main relationships among GSCM practices with environmental impact (EI) and environmental cost savings (ECS). The analysis reports three structural equation models (SEM) developed as simple, second-order, and mediating models. Those relationships are tested using 160 responses to a survey applied to the Mexican maquiladora industry and with partial least squares algorithms (PLS), where conditional probabilities for different scenarios in latent variables are also reported. Findings indicate that EMS has a direct effect on EI (β = 0.442) and ECS (β = 0.227), indicating that EMS reduces EI and cost associated with the production process; however, ED has no direct effect on EI (β = 0.019) and ECS ((β = 0.006), and it can be due to the maquiladora nature as foreign companies focused on manufacturing and not to product design. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
14. Modeling of the Factors of Higher Education Institutions (HEIs) Influencing the Strategic Linking Decisions with the Industrial Sector: Whole-Institution Approach
- Author
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Arredondo-Soto, Karina Cecilia, Serrano-Manrrique, Jean Paul, Blanco-Fernandez, Julio, Hernández-Escobedo, Guadalupe, Miranda-Ackerman, Marco Augusto, García-Alcaraz, Jorge Luis, 0000-0002-8929-7319, 0000-0002-7351-5342, 0000-0002-7041-7130, and 0000-0002-7092-6963
- Subjects
Northwest of Mexico ,Knowledge management ,Higher education ,Environmental effects of industries and plants ,Renewable Energy, Sustainability and the Environment ,business.industry ,media_common.quotation_subject ,Geography, Planning and Development ,TJ807-830 ,Context (language use) ,Management, Monitoring, Policy and Law ,TD194-195 ,Human capital ,Professionalization ,university–industry collaboration ,Renewable energy sources ,Environmental sciences ,decision making in HEI ,Secondary sector of the economy ,Institution ,Survey data collection ,Applied research ,GE1-350 ,business ,media_common - Abstract
Higher Education Institutions (HEIs) are dedicated to the professionalization of human capital, to accomplish this, the link with the productive sector is an active component that must be strengthened through formal mechanisms. The purpose of this paper is to estimate the relationships and effects from the Institutional Framework (IF), as well as from the independent variables in the context of linking HEI with the industrial sector. Survey data were collected from 47 HEIs in the Northwest of Mexico, a mixed research approach was applied and analyzed through the partial least-squares structural equations modeling (PLS-SEM) technique. Although the IF is identified as a relevant aspect for the model, this is not a problem for Mexican HEIs, since the analysis reflects a solid legal framework regarding the common basic levels and research. The main impact for experts who carry out research activities is that the route to creating, maintaining, and promoting integrated academic, technical, and administrative personnel as a specialized work team is not achieved. The main factor that does not contribute for researchers who carry out research activities is that the route to integrating (creating&ndash, maintaining&ndash, promoting) academic, technical, and administrative personnel as a specialized work team is not achieved. One finding is that the informants agree with the existing stimuli that are not aimed at research linked to the industrial sector and problem-solving through applied research. There is a need for retaining the groups of researchers to help make the benefits for the industry clear by offering advanced linkage levels.
- Published
- 2020
15. Human–Machine Systems Reliability: A Series–Parallel Approach for Evaluation and Improvement in the Field of Machine Tools.
- Author
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Amaya-Toral, Rosa Ma, Piña-Monarrez, Manuel R., Reyes-Martínez, Rosa María, de la Riva-Rodríguez, Jorge, Poblano-Ojinaga, Eduardo Rafael, Sánchez-Leal, Jaime, and Arredondo-Soto, Karina Cecilia
- Subjects
HUMAN-machine systems ,MACHINE tools ,DISTRIBUTION (Probability theory) ,RELIABILITY in engineering ,CLUSTER analysis (Statistics) ,SEQUENTIAL analysis - Abstract
Machine workshops generate high scrap rates, causing non-compliance with timely delivery and high production costs. Due to their natural characteristics of a low volume, high-mix production batches, and serial and parallel configurations, generally the causes of their failure are not well documented. Thus, to reduce the scrap rate, and evaluate and improve their reliability, their system characteristics must be considered. Based on them, our proposed methodology allows us to evaluate the system, subsystem, and component–subsystem relationship by using either the Weibull and/or the exponential distribution. The strategy to improve the system performance includes reliability tools, expert interviews, cluster analysis, and root-cause analysis. In the application case, the failure sources were found to be mechanical and human errors. The component maintenance/setup, institutional conditions/attitude, and subsystem process/operation were the machine factors that presented the lowest reliability indices. The improved activities were monitored based on the Weibull β and η parameters that affect the system reliability. Finally, by using a life–effort analysis, and the method of comparative analysis of two sequential periods, we identified the causes that generated a change in the Weibull parameters. The contribution of this methodology lies in the grouping of the tools in the proposed application context. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
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16. Improving a Manufacturing Process Using the 8Ds Method. A Case Study in a Manufacturing Company.
- Author
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Realyvásquez-Vargas, Arturo, Arredondo-Soto, Karina Cecilia, García-Alcaraz, Jorge Luis, and Macías, Emilio Jiménez
- Subjects
MANUFACTURING processes ,ASSEMBLY line methods ,CUSTOMER satisfaction ,EMPLOYEE motivation ,MANUFACTURING defects ,CABLE manufacturing ,MANUFACTURING industry equipment - Abstract
Featured Application: The present case study reports the 8D technique applied to a real manufacturing production process. Future applications can be adapted to other manufacturing industries by integrating the most important variables in their own contexts. Customer satisfaction is a key element for survival and competitiveness in industrial companies. This paper describes a case study in a manufacturing company that deals with several customer complaints due to defective custom cable assemblies that are integrated in an engine. The goal of this research is to find a solution to this problem, as well as prevent its recurrence by implementing the eight disciplines (8Ds) method in order to: (1) develop a team, (2) describe the problem, (3) develop an interim containment action, (4) determine and verify root causes, (5) develop permanent corrective actions, (6) define and implement corrective actions, (7) prevent recurrences, and (8) recognize and congratulate teamwork as well as individual contributions. Therefore, a software tool is proposed to conduct a functional test on assembly lines. After the test, the problem was successfully reduced and detected, because from 67 engines that were identified with problems, 51 were redesigned before being sent to customers, consequently decreasing the number of defective products by 75%, whereas the remaining 16 engines were replaced by new engines. In conclusion, the research goal was accomplished, and the 8Ds method proved to be a helpful model with which to increase employees' motivation and involvement during the problem-solving process. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
17. Integrating Simulation-Based Optimization for Lean Logistics: A Case Study.
- Author
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González-Reséndiz, Jorge, Arredondo-Soto, Karina Cecilia, Realyvásquez-Vargas, Arturo, Híjar-Rivera, Humberto, and Carrillo-Gutiérrez, Teresa
- Subjects
RESPONSE surfaces (Statistics) ,COMPUTER simulation ,MATHEMATICAL optimization - Abstract
Featured Application: The application of stochastic and optimization tools through simulation and Response Surface Methodology (RSM) is useful defining the optimal distribution cost in a logistic process. The present work aims at the comprehensive application of stochastic and optimization tools with the support of Information and Communication Technologies (ICT) through a case study in a logistics process for electronic goods; simulation and Response Surface Methodology (RSM) are applied for this purpose. The problem to be evaluated is to define an optimal distribution cost for products shipped to wholesale customers located in different cities in Mexico from a manufacturing plant in Tijuana, Mexico. The factors under study are the product allocation for each distribution center, finished good inventory level and on time deliveries, which are supposed to be significant to get the objective. The methodology applied for this problem considers the design of a discrete event simulation model to represent virtually the real life of logistics process, which is considered a complex system due to different activities are interrelated to carry it out. This model is used to execute the different experiments proposed by the RSM. The results obtained from simulation model were analyzed with the RSM to define the mathematical model that allows identifying the parameters of the factors in order to optimize the process. The findings prove how the ICT facilitate the application of stochastic tools with the purpose of process optimization. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
18. Applying the Plan-Do-Check-Act (PDCA) Cycle to Reduce the Defects in the Manufacturing Industry. A Case Study.
- Author
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Realyvásquez-Vargas, Arturo, Arredondo-Soto, Karina Cecilia, Carrillo-Gutiérrez, Teresa, and Ravelo, Gustavo
- Subjects
LEAN management ,ELECTRONIC equipment ,BUSINESS cycles - Abstract
Featured Application: The tool of PDCA cycle, supported by other graphical tools, such as Pareto charts and flowchart, can be applied in the manufacturing industry to delete or reduce occurrence of defects. Defects are considered as one of the wastes in manufacturing systems that negatively affect the delivery times, cost and quality of products leading to manufacturing companies facing a critical situation with the customers and to not comply with the IPC-A-610E standard for the acceptability of electronic components. This is the case is a manufacturing company located in Tijuana, Mexico. Due to an increasing demand on the products manufactured by this company, several defects have been detected in the welding process of electronic boards, as well as in the components named Thru-Holes. It is for this reason that this paper presents a lean manufacturing application case study. The objective of this research is to reduce at least 20% the defects that are generated during the welding process. In addition, it is intended to increase 20% the capacity of three double production lines where electronic boards are processed. As method, the Plan-Do-Check-Act (PDCA) cycle, is applied. The Pareto charts and the flowchart are used as support tools. As results, defects decreased 65%, 79%, and 77% in three analyzed product models. As conclusion, the PDCA cycle, the Pareto charts, and the flowchart are excellent quality tools that help to decrease the number of defective components. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
19. The Impact of Environmental Factors on Academic Performance of University Students Taking Online Classes during the COVID-19 Pandemic in Mexico.
- Author
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Realyvásquez-Vargas, Arturo, Maldonado-Macías, Aidé Aracely, Arredondo-Soto, Karina Cecilia, Baez-Lopez, Yolanda, Carrillo-Gutiérrez, Teresa, and Hernández-Escobedo, Guadalupe
- Abstract
The COVID-19 pandemic and the quarantine period determined that university students (human resource) in Mexico had adopted the online class modality, which required them to adapt themselves to new technologies and environmental conditions that are different from classrooms at their university. Specifically, these new environmental conditions can be uncomfortable and have an impact on the students' academic performance. Consequently, the present study aims to determine the impact that the lighting, noise, and temperature levels (independent variables) have on academic performance (dependent variable) in university students during the COVID-19 pandemic. To do this, a questionnaire was developed, which was applied to 206 university students online, and a structural equation model was built that integrates the four variables through three hypotheses, which were statistically validated through the partial least squares method. Results showed that temperature, lighting, and noise have significant direct effects on university students' academic performance. As a conclusion, it was obtained that the three independent variables have an impact in the sustainability of university students (human resource). [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
20. Work Standardization and Anthropometric Workstation Design as an Integrated Approach to Sustainable Workplaces in the Manufacturing Industry.
- Author
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Realyvásquez-Vargas, Arturo, Arredondo-Soto, Karina Cecilia, Blanco-Fernandez, Julio, Sandoval-Quintanilla, Joanna Denisse, Jiménez-Macías, Emilio, and García-Alcaraz, Jorge Luis
- Abstract
Poor workstation designs represent a risk factor for operators in assembly production lines. Anthropometric design of workstations facilitates the sustainable development of the workplace. This paper proposes a novel integrated approach about work standardization and anthropometric workstation design as a strategy to increase human factor performance as well as the productivity index in manufacturing companies. The integrating approach is presented through a case study in a publishing press company with operators who perform manual and mechanical tasks in production lines in the box assembly department. Currently, the company's production capacity is below demand, and in order to satisfy customers' requirements, the company pays a lot of overtime to operators. In order to solve this problem, the integrated approach was applied. The findings indicated that inefficient movements and body postures in operators decreased from 230 to 78, and the standard time was reduced from 244 to 199 s for each assembled box. In addition, the production rate increased by 229 units per assembly line per day, and overtime was eliminated. Therefore, the novel integrated approach allows the increase of sustainability in the company and the operators' well-being by making a better use of the human factor, eliminating overtime, and increasing production capacity. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
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