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Capacity planning in textile and apparel supply chains

Author

Listed:
  • Zied Jemai

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Imen Safra

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Aida Jebali

    (ENIT - Ecole Nationale d'Ingénieurs de Tunis - UTM - Université de Tunis El Manar)

  • Hanen Bouchriha

    (ENIT - Ecole Nationale d'Ingénieurs de Tunis - UTM - Université de Tunis El Manar)

  • Asma Ghaffari

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

Abstract

This study deals with production and distribution planning for a textile and apparel supply chain. Given the seasonal nature of demand, global character of the textile and apparel supply chain, short life cycle of apparel products and demand unpredictability of trendy items, manufacturers require an efficient and flexible planning system that incorporates in-season replenishment orders with short lead time and preseason orders with medium lead time. A planning approach integrating tactical and operational decisions is proposed. Using a rolling horizon, the proposed approach determines the quantities to produce, store and deliver, which minimize the total production and distribution cost. At the tactical planning level, a percentage of production capacity is reserved in order to accommodate replenishment orders that are difficult to predict. Moreover, production of standardized items with predictable demand could be assigned to overseas low-cost subcontractors. For operational planning, local subcontracting and overtime could be used as options to address the unpredictability of the demand tied to replenishment orders. Our results show that the proposed approach results in a 10% cost saving over current practice.

Suggested Citation

  • Zied Jemai & Imen Safra & Aida Jebali & Hanen Bouchriha & Asma Ghaffari, 2018. "Capacity planning in textile and apparel supply chains," Post-Print hal-01791992, HAL.
  • Handle: RePEc:hal:journl:hal-01791992
    DOI: 10.1093/imaman/dpy006
    as

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    Cited by:

    1. Sumera Ahmad & Suraya Miskon & Rana Alabdan & Iskander Tlili, 2020. "Exploration of Influential Determinants for the Adoption of Business Intelligence System in the Textile and Apparel Industry," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    2. Sumera Ahmad & Suraya Miskon & Rana Alabdan & Iskander Tlili, 2020. "Towards Sustainable Textile and Apparel Industry: Exploring the Role of Business Intelligence Systems in the Era of Industry 4.0," Sustainability, MDPI, vol. 12(7), pages 1-23, March.

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