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Supply chain configuration with coordinated product, process and logistics decision: An approach based on Petri nets

Author

Listed:
  • L. Zhang

    (LEM - Lille - Economie et Management - Université de Lille, Sciences et Technologies - CNRS - Centre National de la Recherche Scientifique)

  • X. You
  • J. Jiao
  • P. Helo

Abstract

No abstract is available for this item.

Suggested Citation

  • L. Zhang & X. You & J. Jiao & P. Helo, 2009. "Supply chain configuration with coordinated product, process and logistics decision: An approach based on Petri nets," Post-Print hal-00798997, HAL.
    • Handle: RePEc:hal:journl:hal-00798997
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    Cited by:

    1. Nagesh Shukla & Senevi Kiridena, 2016. "A fuzzy rough sets-based multi-agent analytics framework for dynamic supply chain configuration," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 6984-6996, December.
    2. Maina G. & H.M.Bwisa, 2014. "Factors that Affect the Quality of Inputs in Manufacturing Organisations: A Case Study of Nampak Kenya Limited," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(10), pages 288-313, October.
    3. Linda Zhang & Carman Lee & Shuzhu Zhang, 2016. "An integrated model for strategic supply chain design: Formulation and ABC-based solution approach," Post-Print hal-01744868, HAL.

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