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A Collaborative Cloud Service Platform for Realizing Sustainable Make-To-Order Apparel Supply Chain

Author

Listed:
  • Ke Ma

    (Department of Textile and Clothing Engineering, Soochow University, Suzhou 215021, China
    GEMTEX (GEnie des Matériaux TEXtile), ENSAIT (Ecole Nationale Supérieure des Arts et Industries Textiles), 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

As fashion mass customization has been developing rapidly in the recent decade, supply chain in apparel industry was required to be more flexible for meeting the need of quick response toward the dynamic changes in the fashion market. Forecast-based make-to-stock production strategy was not suitable anymore. Make-to-order strategy was employed by more and more apparel companies. However, there were still many defects in traditional make-to-order apparel supply chain, e.g., sustainability is still at a low level. In this study, we proposed a collaborative cloud service platform to develop a novel model of sustainable make-to-order apparel supply chain. A service provider selection heuristic was designed for this platform to optimally select suppliers corresponding to each received demand. Multi-agent-based simulation technology was utilized to build the proposed platform and to evaluate the new sustainable supply chain model. Experiment was conducted in the simulation to compare our new model to traditional apparel make-to-order model and model with outsourcing mechanism. Based on simulation results, the remarkable improvement in terms of sustainability of the proposed platform and corresponding supply chain model was demonstrated.

Suggested Citation

  • Ke Ma & Lichuan Wang & Yan Chen, 2017. "A Collaborative Cloud Service Platform for Realizing Sustainable Make-To-Order Apparel Supply Chain," Sustainability, MDPI, vol. 10(1), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2017:i:1:p:11-:d:123893
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    References listed on IDEAS

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    Cited by:

    1. Cai, Ya-Jun & Choi, Tsan-Ming, 2020. "A United Nations’ Sustainable Development Goals perspective for sustainable textile and apparel supply chain management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    2. Shayan Bahadoran Baghbadorani & Seyed Abdolhassan Johari & Zahra Fakhri & Esmaeil Khaksar Shahmirzadi & Shavkatov Navruzbek Shavkatovich & Sangkeum Lee, 2022. "A New Version of African Vulture Optimizer for Apparel Supply Chain Management Based on Reorder Decision-Making," Sustainability, MDPI, vol. 15(1), pages 1-18, December.

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