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A dynamic approach to determine the product flow nature in apparel supply chain network

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  • Marufuzzaman, Mohammed
  • Deif, Ahmed M.

Abstract

This paper presents a novel metric, product flow number, to determine the product flow nature across the supply chain of apparel industries. The metric is based on mapping the dynamics of fluid flow across a pipe to product flow across a supply chain. Numerical analysis is conducted to examine the impact of the different metric parameters on the product flow. Results showed that smooth dynamics can be achieved through scaling production and extending delivery times, while undesirable dynamics are tied to complex product designs and increasing number of suppliers. Finally, the paper demonstrated how the new metric can be used as a planning and control tool for supply chain management in the apparel industry.

Suggested Citation

  • Marufuzzaman, Mohammed & Deif, Ahmed M., 2010. "A dynamic approach to determine the product flow nature in apparel supply chain network," International Journal of Production Economics, Elsevier, vol. 128(2), pages 484-495, December.
    • Handle: RePEc:eee:proeco:v:128:y:2010:i:2:p:484-495
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    References listed on IDEAS

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    1. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    2. Suwignjo, P. & Bititci, U. S & Carrie, A. S, 2000. "Quantitative models for performance measurement system," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 231-241, March.
    3. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    4. Wikner, J. & Towill, D. R. & Naim, M., 1991. "Smoothing supply chain dynamics," International Journal of Production Economics, Elsevier, vol. 22(3), pages 231-248, December.
    5. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2004. "The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective," European Journal of Operational Research, Elsevier, vol. 153(3), pages 727-750, March.
    6. Hau L. Lee & Christopher S. Tang, 1997. "Modelling the Costs and Benefits of Delayed Product Differentiation," Management Science, INFORMS, vol. 43(1), pages 40-53, January.
    7. Ouyang, Yanfeng, 2007. "The effect of information sharing on supply chain stability and the bullwhip effect," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1107-1121, November.
    8. Romano, Pietro, 2009. "How can fluid dynamics help supply chain management?," International Journal of Production Economics, Elsevier, vol. 118(2), pages 463-472, April.
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    Cited by:

    1. Ralph Tröger & Rainer Alt, 2017. "Design options for supply chain visibility services: learnings from three EPCIS implementations," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(2), pages 141-156, May.

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