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Management model based on the lean thinking method for medium-sized peruvian companies in the apparel sector

  • Universidad Peruana de Ciencias Aplicadas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The waste and reprocess problem in Peruvian apparel companies is greater than expected. After reviewing a history of losses and reprocesses, an innovative technical solution based on a combination of Lean Manufacturing and Agile tools is presented herein. This innovative proposal is implemented in the areas of cutting, embossing, and sewing in an apparel company. Value Stream Mapping results before and after implementing the proposed model are compared. The major achievement of this model is the significant reduction in loss percentage after two weeks of implementation.

Original languageEnglish
Title of host publicationHuman Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019
EditorsTareq Ahram, Redha Taiar, Serge Colson, Arnaud Choplin
PublisherSpringer Verlag
Pages896-902
Number of pages7
ISBN (Print)9783030256289
DOIs
StatePublished - 2020
Event1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019 - Nice, France
Duration: 22 Aug 201924 Aug 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1018
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019
Country/TerritoryFrance
CityNice
Period22/08/1924/08/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Balanced Scorecard
  • Lean Manufacturing
  • Small and medium enterprises
  • Takt time

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