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The present research focused on measuring the efficiency level based on implementing Lean Manufacturing and TPM. Relevant data for the research were collected before and after the implementation to identify problems and design solutions based on Smed, Standardized Work, and TPM. First, a root cause analysis was performed with the problem tree tool, where problems such as long set-up stoppages, breakdowns, lack of maintenance, and lack of training of the production team, among others, were identified. Therefore, a solution proposal was implemented based on the methodologies, which improved the efficiency level from 50% to 79.3%. Based on this, the application of the SMED tool focused on decreasing the setup time, the mold change lasted about 7.06 hours and decreased by 5.97 hours. In the case of standard work, operational failures were reduced from 15% to 6%. On the other hand, the implementation of TPM increased the efficiency of the machinery together with preventive maintenance training for the equipment, which increased from 37.56% to 51.31%. Finally, these findings highlight the importance of implementing tools such as Lean Manufacturing and TPM in the manufacturing sector to increase the level of efficiency in the organization. [ABSTRACT FROM AUTHOR]

In Peru, a lack of technological investments and training contributes to low productivity in the footwear industry. The study presents a comprehensive project to improve the productivity of a Micro and Small Enterprise (MSE) in Peru's footwear industry, using Lean Manufacturing tools. The methodology includes TPM for inefficient material distribution, 5S for policy procedures and underutilized spaces, and SLP for disorder in work areas. Pilot tests of 5S demonstrate significant improvements, and the implementation of TPM aims to avoid accidents and enhance equipment efficiency. The resulting 80% increase in overall company productivity is supported by positive economic evaluations, including a Net Present Value (NPV) of 26,858.27 PEN, an Internal Rate of Return (IRR) of 62%, a Payback Period (PRI) of 2.39 years, and a Benefit-Cost Ratio (B/C) of 2.27. Overall, this integrated approach proves successful in elevating the company's overall efficiency. [ABSTRACT FROM AUTHOR]

For a developing country like Peru with a rapidly growing manufacturing sector, the metal mechanic is one of the main driving forces because they provide machinery and tools for the rest of the sectors. However, this growth has been stopped by capacity limits and a wide range of troubles and delays that occur during the process, most of the Peruvian companies don't have developed methodologies like the companies abroad whose production efficiency is good. As a response to this problem, we have developed a production model based on System Layout Planning and Lean manufacturing tools such as Total Productive Machine, 5S, and Kanban. As a result of implementing these methodologies, we have increased the efficiency of the system flow so that there won't be too many delays and increase the productivity of the whole process. [ABSTRACT FROM AUTHOR]

The commercial sector in Peru has a sustainable growth over time, playing an important role and projecting an average growth of 3% by 2025. For this reason, commercial companies must be in constant development to be able to meet new market demands and solve new problems. In this sense, it is crucial to identify the main causes of the problems, such as the low level of order fulfillment, which is directly related to disorganization and suboptimal distributions in the warehouse, as well as high waiting times to serve customers. This research develops an improvement proposal model based on three tools (5S, ABC Method and SLP) which has as its main objective to improve the level of order fulfillment in commercial companies, in order to improve the standard time and obsolescence. The results obtained demonstrate the effectiveness of the model by increasing the order fulfillment level from 78.75% to 90%. [ABSTRACT FROM AUTHOR]

The foam furniture paint industry, belonging to the manufacturing sector, has experienced a decline in recent years due to the COVID-19 pandemic. This situation has negatively impacted production capacity and has generated significant challenges. Among them, reprocessing has occurred due to undesired tones in the paints, the presence of residues in the machines, as well as errors in machinery programming and delays in the start of production. These factors have hindered the manufacturing sector from reaching its pre-crisis economic level. Consequently, delays in the delivery of the final product arise, leading to economic losses for the companies, which hinder their development. To address these issues and thereby reduce product delivery times, the production improvement model based on Lean Manufacturing tools is proposed. The model consists of tools such as 5S, Poka-Yoke, and standardized work. The model was validated through the implementation of pilot tests and simulation using Arena software. [ABSTRACT FROM AUTHOR]

Textile SMEs currently have a high demand for orders; however, there is a trend of increasing customer dissatisfaction, which is mainly related to shortages, low product quality and failure to meet deadlines. Therefore, a model was developed using the Lean Manufacturing methodology and analysis tools, including 5S. The case study is about a garment manufacturer and merchant SME in Peru, which developed a model to improve the low level of service they provide to their customers. The investigation shows the improvement of the level of service from 70% to 93%, likewise in the economic aspect a saving of 25,363.53 soles is shown, which represents 77%. This model proposal was implemented through the pilot test and simulation through the Arena V16 software, it also shows that the application of the Lean methodology together with analysis tools provide an improvement in processes such as warehouse management and quality. This study can serve as a guide to lay the foundation for business improvement for SMEs facing similar quality and logistics issues that is needed to improve service level growth. [ABSTRACT FROM AUTHOR]

The plastics industry has grown in recent years due to growing demand in sectors such as construction and transportation, contributing 4% of the industrial GDP and employing more than 200,000 workers in the country. However, it has been identified that companies in the sector operate with low availability (70.83%) due to various production problems, including hours lost due to lack of machine maintenance. On the other hand, because of these problems, demand exceeds supply due to the low availability of the companies in the plastics sector. The literature review suggests that Lean Manufacturing (SMED, Standardization of Work, 5S) and the TPM (Total Productive Maintenance) technique are necessary tools to solve these problems. Finally, the implementation of these tools will allow solving the mentioned problems by increasing availability by 90%. [ABSTRACT FROM AUTHOR]

Currently, Peruvian textile companies have played a very important role in the national economy, therefore, they are constantly seeking to implement production design strategies that allow them to obtain optimum efficiency. Accordingly, this scientific paper aims to increase efficiency in the finishing area by implementing a production model based on Lean-TPM. The results obtained can be of great value for textile industries, especially for those who wish to improve the efficiency of their operations, avoid waste and increase productivity. Therefore, the commitment to adopt new ways of working starts from the highest levels of management down to the operators, and it is important to integrate all members of the production team, because it will lead to achieve great economic benefits and be more competitive in the textile market. This article refers to the implementation of autonomous maintenance based on lean six sigma in a fabric production company where an increase from 78% to 80% in the efficiency of the finishing area was achieved. [ABSTRACT FROM AUTHOR]

Discussions about the relationship between the fourth industrial revolution, also called Industry 4.0, and last mile logistics are an issue that has grown over time due to the development of new technologies that take on new industries and the lack of processes and innovation to accompany the evolution of Industry 4.0 and cover optimization needs in the last mile of the logistics chain. This article's main objective is to research the new challenges and approaches that arise in this fourth industrial revolution to face and optimize the last mile of the logistics chain. To fulfill this purpose, a systematic literature review was carried out, as well as a bibliometric analysis. 100 articles were reviewed in detail, the origin of these articles is 100% Scopus to ensure quality content in the research. The results show a constant development of the technologies that make up Industry 4.0 in organizations worldwide, which leads to large-scale growth, thus resulting in the need for process optimization for last-mile logistics. [ABSTRACT FROM AUTHOR]