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Supply chain management : a framework to characterize the collaborative strategies

Author

Listed:
  • Ridha Derrouiche

    (PRISMA - Laboratoire de Productique et Informatique des systèmes manufacturiers - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées, IUT Lumière CERRAL - IUT Lumière CERRAL)

  • Gilles Neubert

    (PRISMA - Laboratoire de Productique et Informatique des systèmes manufacturiers - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées, IUT Lumière CERRAL - IUT Lumière CERRAL)

  • Abdelaziz Bouras

    (PRISMA - Laboratoire de Productique et Informatique des systèmes manufacturiers - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées, IUT Lumière CERRAL - IUT Lumière CERRAL)

Abstract

The current intense competition forces enterprises to pay attention to supply chain collaboration with their upstream and downstream partners. Different collaborative strategies such as quick response (QR), efficient consumer response (ECR), vendor managed inventory (VMI) or collaborative planning, forecasting and replenishment (CPFR) have already been proposed. The key to ensuring that the supply chain partners are progressing on the right track of creating the best-in-class practice lays in their ability to choose the appropriate strategy. The current paper proposes a framework, based on analysis grids and graphical representations, which help to better characterize these strategies. The analysis grids use several characterization criteria to express the collaboration nature and its extent. For a better understanding, this framework is then applied to the CPFR strategy.

Suggested Citation

  • Ridha Derrouiche & Gilles Neubert & Abdelaziz Bouras, 2008. "Supply chain management : a framework to characterize the collaborative strategies," Post-Print hal-02313244, HAL.
    • Handle: RePEc:hal:journl:hal-02313244
    DOI: 10.1080/09511920701574461
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    Citations

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    Cited by:

    1. Judith Molka-Danielsen & Per Engelseth & Bich Thi Ngoc Le, 2017. "Vendor-managed inventory as data interchange strategy in the networked collaboration of a Vietnam ship parts supplier and its customers," Information Technology for Development, Taylor & Francis Journals, vol. 23(3), pages 597-617, July.
    2. Wang, Min & Zhao, Lindu & Herty, Michael, 2019. "Joint replenishment and carbon trading in fresh food supply chains," European Journal of Operational Research, Elsevier, vol. 277(2), pages 561-573.
    3. Ciancimino, Elena & Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2012. "On the Bullwhip Avoidance Phase: The Synchronised Supply Chain," European Journal of Operational Research, Elsevier, vol. 221(1), pages 49-63.
    4. Parsa, Payam & Rossetti, Manuel D. & Zhang, Shengfan & Pohl, Edward A., 2017. "Quantifying the benefits of continuous replenishment program for partner evaluation," International Journal of Production Economics, Elsevier, vol. 187(C), pages 229-245.
    5. Marzanna Katarzyna Witek-Hajduk & Anna Napiórkowska, 2017. "A Framework of Retailer-Manufacturer Cooperation and Coopetition: Consumer Durable Goods Retailers’ Case Studies," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 5(1), pages 59-76.
    6. Jajja, Muhammad Shakeel Sadiq & Chatha, Kamran Ali & Farooq, Sami, 2018. "Impact of supply chain risk on agility performance: Mediating role of supply chain integration," International Journal of Production Economics, Elsevier, vol. 205(C), pages 118-138.

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