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A Resource Sharing Mechanism for Sustainable Production in the Garment Industry

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  • Ke Ma

    (Department of Textile and Clothing Engineering, Soochow University, Suzhou 215021, China
    GEnie des Matériaux TEXtile (GEMTEX), Ecole Nationale Supérieure des Arts et Industries Textiles (ENSAIT), 59100 Roubaix, France
    Department of Business Administration and Textile Management, University of Borås, 50190 Borås, Sweden
    Department of Automation and Computer engineering, University of Lille, 59655 Villeneuve-d’Ascq, France)

  • Lichuan Wang

    (Department of Textile and Clothing Engineering, Soochow University, Suzhou 215021, China)

  • Yan Chen

    (Department of Textile and Clothing Engineering, Soochow University, Suzhou 215021, China)

Abstract

With the development of mass customization, the traditional garment production model needs to be optimized to have a more sustainable structure. To meet demand for flexibility, low-cost, and high-efficiency, an innovative resource sharing mechanism was proposed in this paper to form a new sustainable type of garment production. Different from the individual production in traditional models, the new mechanism involves resources being shared among various manufacturers. The tradeoff between positive and negative effects of the proposed mechanism is a key issue for sustainable production. In the present study, an overall sustainable index, integrating four production performance indicators, was defined on the basis of an Analytical Network Process to assess various production scenarios. According to the discrete-event simulation results of the different scenarios, we found that garment manufacturers could obtain comprehensive improvements in sustainable production by implementing the proposed resource sharing mechanism under the threshold of an increasing production failure rate.

Suggested Citation

  • Ke Ma & Lichuan Wang & Yan Chen, 2017. "A Resource Sharing Mechanism for Sustainable Production in the Garment Industry," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2017:i:1:p:52-:d:124478
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    References listed on IDEAS

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    Cited by:

    1. Ke Ma & Sébastien Thomassey & Xianyi Zeng, 2020. "Development of a central order processing system for optimizing demand-driven textile supply chains: a real case based simulation study," Annals of Operations Research, Springer, vol. 291(1), pages 627-656, August.

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