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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]

In recent years, plastic has been part of the value chain of many different products, becoming a final consumer good. The enormous value of the plastics industry is beneficial for those who are part of the chain, reflected in the enormous figure of 1 trillion dollars a year, that is, 5% of the total trade of goods worldwide. This research is oriented to examine 3 tools to achieve a new model to optimize and improve the level of service, due to late delivery times and poor quality identified as the main problems within the company studied. The proposed model uses tools such as: Improvement of mold change time through the SMED Engineering tool, improvement of the organization and production tools through the 5S Engineering tool and improvement of operational efficiency under a Total Productive Maintenance approach obtaining an improvement for the company. Achieving an integrated model to improve the level of service that is suitable to be replicated in manufacturing companies. [ABSTRACT FROM AUTHOR]

SMEs (small and medium-sized enterprises) are one of the economic sectors that represent 96.5% of the companies that exist in Peru (Las Pymes Son El 96.5% de Las Empresas Que Hay En Perú | Perú Retail, 2017). Despite this, environmental SMEs often don't meet the demand, as they have shown delays in collecting reports due to a lack of knowledge of digital transformation. This issue prevents them from meeting the projected demands of the sector. Therefore, this research offers a collaborative model with the combination of Data Analytics, PDCA, and 5S tools to increase the level of service in environmental consultancy SMEs. In the analysis of the case study, problems in the consultancy were identified as the delay in the collection of information for the preparation of technical reports. The proposed solution is to have Data Analytics and 5S methodologies in the company. The result was successful, the company improved its indicators of the number of completed reports by 95% and level of attention by 15%. [ABSTRACT FROM AUTHOR]