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Waste Reduction Model in a Small Clothing Company-Umbrella Model

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Human Interaction and Emerging Technologies (IHIET 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1018))

Abstract

Excess waste problem is encountered by small and medium-sized companies in the textile and clothing sector, which has a negative impact on the profitability of these companies. Herein, a diagnosis analysis is performed in a small company using the Ishikawa diagram to identify the root causes and they are measured using indicators. Based on these results, a change management model is proposed, which supports the implementation of lean manufacturing tools and production system components during the 30-day pilot application. Then, each indicator is reassessed to verify the feasibility of the proposed umbrella model. Results show that this model reduced the amount of waste by 81.21%.

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Authors and Affiliations

  1. Escuela de Ingeniería Industrial, Universidad Peruana de Ciencias Aplicadas (UPC), Lima, Peru

    Geraldine Cueto, Yosiveth Caldas, Gino Viacava, Juan Quiroz & Jose Alvarez

Authors
  1. Geraldine Cueto
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  2. Yosiveth Caldas
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  3. Gino Viacava
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  4. Juan Quiroz
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  5. Jose Alvarez
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Corresponding authors

Correspondence to Geraldine Cueto , Yosiveth Caldas , Gino Viacava , Juan Quiroz or Jose Alvarez .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. Université de Reims Champagne Ardenne, GRESPI, Reims, France

    Redha Taiar

  3. Laboratoire Motricité Humaine, Expertise, Sport, Santé, Université Côte d’Azur, Nice Cedex 3, France

    Serge Colson

  4. IFMK Niçois, Université Côte d’Azur, Nice Cedex 3, France

    Arnaud Choplin

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Cueto, G., Caldas, Y., Viacava, G., Quiroz, J., Alvarez, J. (2020). Waste Reduction Model in a Small Clothing Company-Umbrella Model. In: Ahram, T., Taiar, R., Colson, S., Choplin, A. (eds) Human Interaction and Emerging Technologies. IHIET 2019. Advances in Intelligent Systems and Computing, vol 1018. Springer, Cham. https://doi.org/10.1007/978-3-030-25629-6_154

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  • DOI: https://doi.org/10.1007/978-3-030-25629-6_154

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-25628-9

  • Online ISBN: 978-3-030-25629-6

  • eBook Packages: EngineeringEngineering (R0)

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