{"id":{"repo_id":"lima","oai_identifier":"oai:repositorio.ulima.edu.pe:20.500.12724/17451"},"canonical_url":"https://search.dev.ndltd.org/etd/lima/oai:repositorio.ulima.edu.pe:20.500.12724/17451","repository":{"repo_id":"lima","name":"Universidad de Lima","base_url":"https://repositorio.ulima.edu.pe/oai/request"},"display":{"title":"The implementation of lean manufacturing to increase productivity in a textile company: case of study","abstract":"Nowadays agile methodologies have been developed, and are used in organizations because companies face highly competitive and globalized markets with constant changes (Arias, 2020). The paper is going to be based on “Lean Manufacturing” which is a system that aims to eliminate waste from the process through continuous and systematic improvement (Palaniswamy, 2021), without generating waste or defective products. The case of the study is based on solving the problem of low productivity for a textile company in Peru, which had been caused by the excessive waiting times between operations and manual activities with a higher percentage of defective products, for example, 7% in the clothing area. In this paper first, we recollected the actual information like batches, the floor plan, production costs, etc. within we simulated the as-is and after that the as-if. This article uses the “Lean Manufacturing” methodology and with it, the losses of products in manual processes will be minimized, going from 10% of safety stock to 6% per order. This goal is going to achieve optimizing transfer times between areas and eliminate those activities that do not generate value for the company, using tools such as “5S”, “Value Stream Mapping”, “Acceptance Control Charts”, “Just In Time”, “Process Reengineering” and “Simulation”. Through simulation with the Arena software, the results were validated, achieving an improvement in the reduction of times by 5.8% and increased productivity by 4.1% thanks to tools such as VSM, line balance, and control charts. The importance of this study is the findings can be replicated in other papers from the textile industry.","abstract_html":"Nowadays agile methodologies have been developed, and are used in organizations because companies face highly competitive and globalized markets with constant changes (Arias, 2020). The paper is going to be based on “Lean Manufacturing” which is a system that aims to eliminate waste from the process through continuous and systematic improvement (Palaniswamy, 2021), without generating waste or defective products. The case of the study is based on solving the problem of low productivity for a textile company in Peru, which had been caused by the excessive waiting times between operations and manual activities with a higher percentage of defective products, for example, 7% in the clothing area. In this paper first, we recollected the actual information like batches, the floor plan, production costs, etc. within we simulated the as-is and after that the as-if. This article uses the “Lean Manufacturing” methodology and with it, the losses of products in manual processes will be minimized, going from 10% of safety stock to 6% per order. This goal is going to achieve optimizing transfer times between areas and eliminate those activities that do not generate value for the company, using tools such as “5S”, “Value Stream Mapping”, “Acceptance Control Charts”, “Just In Time”, “Process Reengineering” and “Simulation”. Through simulation with the Arena software, the results were validated, achieving an improvement in the reduction of times by 5.8% and increased productivity by 4.1% thanks to tools such as VSM, line balance, and control charts. The importance of this study is the findings can be replicated in other papers from the textile industry.","abstract_has_math":false,"creators":["Rosadio Vela, Jimena Roxana","Rodríguez Concha, Iván Alberto"],"institution":"Universidad de Lima","degree_name":"Ingeniero Industrial","degree_level":"Título Profesional","degree_discipline":"Ingeniería Industrial","degree_department":null,"school":null,"contributors":[],"advisors":["Ávalos Ortecho, Edilberto Miguel"],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022","date_published":"2022","updated_at":"2026-07-24T02:49:52Z","subjects":["Lean manufacturing","Textile industry","Industria textil","Producción eficiente"],"languages":["eng"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":["https://creativecommons.org/licenses/by-nc-sa/4.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/20.500.12724/17451","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Ávalos Ortecho, Edilberto Miguel"]},{"key":"dc:creator","label":"Author","values":["Rosadio Vela, Jimena Roxana","Rodríguez Concha, Iván Alberto"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2023-01-24T18:22:25Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2023-01-24T18:22:25Z"]},{"key":"dc:date.issued","label":"Date","values":["2022"]},{"key":"dc:publisher","label":"Institution","values":["Universidad de Lima"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/bachelorThesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Ingeniería Industrial"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Título Profesional"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ingeniero Industrial"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Universidad de Lima. Facultad de Ingeniería y Arquitectura"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Lean manufacturing","Textile industry","Industria textil","Producción eficiente"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess"]},{"key":"dc:rights.uri","label":"Rights URI","values":["https://creativecommons.org/licenses/by-nc-sa/4.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/20.500.12724/17451"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Nowadays agile methodologies have been developed, and are used in organizations because companies face highly competitive and globalized markets with constant changes (Arias, 2020). The paper is going to be based on “Lean Manufacturing” which is a system that aims to eliminate waste from the process through continuous and systematic improvement (Palaniswamy, 2021), without generating waste or defective products. The case of the study is based on solving the problem of low productivity for a textile company in Peru, which had been caused by the excessive waiting times between operations and manual activities with a higher percentage of defective products, for example, 7% in the clothing area. In this paper first, we recollected the actual information like batches, the floor plan, production costs, etc. within we simulated the as-is and after that the as-if. This article uses the “Lean Manufacturing” methodology and with it, the losses of products in manual processes will be minimized, going from 10% of safety stock to 6% per order. This goal is going to achieve optimizing transfer times between areas and eliminate those activities that do not generate value for the company, using tools such as “5S”, “Value Stream Mapping”, “Acceptance Control Charts”, “Just In Time”, “Process Reengineering” and “Simulation”. Through simulation with the Arena software, the results were validated, achieving an improvement in the reduction of times by 5.8% and increased productivity by 4.1% thanks to tools such as VSM, line balance, and control charts. The importance of this study is the findings can be replicated in other papers from the textile industry."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:source","label":"Dc Source","values":["Repositorio Institucional - Ulima","Universidad de Lima"]},{"key":"dc:title","label":"Title","values":["The implementation of lean manufacturing to increase productivity in a textile company: case of study"]}]}],"canonical_facts":{"dc:contributor.advisor":["Ávalos Ortecho, Edilberto Miguel"],"dc:creator":["Rosadio Vela, Jimena Roxana","Rodríguez Concha, Iván Alberto"],"dc:date.accessioned":["2023-01-24T18:22:25Z"],"dc:date.available":["2023-01-24T18:22:25Z"],"dc:date.issued":["2022"],"dc:description.abstract":["Nowadays agile methodologies have been developed, and are used in organizations because companies face highly competitive and globalized markets with constant changes (Arias, 2020). The paper is going to be based on “Lean Manufacturing” which is a system that aims to eliminate waste from the process through continuous and systematic improvement (Palaniswamy, 2021), without generating waste or defective products. The case of the study is based on solving the problem of low productivity for a textile company in Peru, which had been caused by the excessive waiting times between operations and manual activities with a higher percentage of defective products, for example, 7% in the clothing area. In this paper first, we recollected the actual information like batches, the floor plan, production costs, etc. within we simulated the as-is and after that the as-if. This article uses the “Lean Manufacturing” methodology and with it, the losses of products in manual processes will be minimized, going from 10% of safety stock to 6% per order. This goal is going to achieve optimizing transfer times between areas and eliminate those activities that do not generate value for the company, using tools such as “5S”, “Value Stream Mapping”, “Acceptance Control Charts”, “Just In Time”, “Process Reengineering” and “Simulation”. Through simulation with the Arena software, the results were validated, achieving an improvement in the reduction of times by 5.8% and increased productivity by 4.1% thanks to tools such as VSM, line balance, and control charts. The importance of this study is the findings can be replicated in other papers from the textile industry."],"dc:format":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/20.500.12724/17451"],"dc:language.iso":["eng"],"dc:publisher":["Universidad de Lima"],"dc:rights":["info:eu-repo/semantics/openAccess"],"dc:rights.uri":["https://creativecommons.org/licenses/by-nc-sa/4.0/"],"dc:source":["Repositorio Institucional - Ulima","Universidad de Lima"],"dc:subject":["Lean manufacturing","Textile industry","Industria textil","Producción eficiente"],"dc:title":["The implementation of lean manufacturing to increase productivity in a textile company: case of study"],"dc:type":["info:eu-repo/semantics/bachelorThesis"],"thesis:degree_discipline":["Ingeniería Industrial"],"thesis:degree_level":["Título Profesional"],"thesis:degree_name":["Ingeniero Industrial"],"thesis:institution_name":["Universidad de Lima. Facultad de Ingeniería y Arquitectura"]},"updated_at":"2026-07-24T02:49:52Z"}