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Decentralised decision-making with information sharing vs. centralised decision-making in supply chains

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  • Mansour Rached
  • Zied Bahroun
  • Jean-Pierre Campagne

Abstract

In recent years, implementing coordination mechanisms in decentralised supply chains to reduce the well-known negative effects of decentralisation, such as the ‘bullwhip effect’, has become a considerable challenge. Furthermore, with the dramatic developments in information and communication technologies, real-time information sharing has become increasingly easier to implement. In this work, we study a mono-product divergent supply chain composed of a supplier, a warehouse, retailers and customers in the context of decentralised and centralised decisions. The main objective of this study is to compare a decentralised supply chain combined with different scenarios of simultaneous upstream and downstream information sharing vs. a centralised supply chain. A mathematical model is developed to compare the logistics costs in the two decision contexts. The experimental results clearly show that the simultaneous sharing of customer demand and supplier-warehouse lead time information in a decentralised supply chain yields nearly equivalent logistics costs as the centralised supply chain context. However, the main beneficiary of the sharing is the warehouse, which receives approximately two-thirds of the benefit. Thus, incentives and revenue sharing contracts should be implemented to motivate and balance the benefits between supply chain partners.

Suggested Citation

  • Mansour Rached & Zied Bahroun & Jean-Pierre Campagne, 2016. "Decentralised decision-making with information sharing vs. centralised decision-making in supply chains," International Journal of Production Research, Taylor & Francis Journals, vol. 54(24), pages 7274-7295, December.
  • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:24:p:7274-7295
    DOI: 10.1080/00207543.2016.1173255
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    Cited by:

    1. Pastore, Erica & Alfieri, Arianna & Zotteri, Giulio, 2019. "An empirical investigation on the antecedents of the bullwhip effect: Evidence from the spare parts industry," International Journal of Production Economics, Elsevier, vol. 209(C), pages 121-133.
    2. Roberto Dominguez & Salvatore Cannella & Borja Ponte & Jose M. Framinan, 2022. "Information sharing in decentralised supply chains with partial collaboration," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 263-292, June.
    3. Hansen, Ole & Transchel, Sandra & Friedrich, Hanno, 2023. "Replenishment strategies for lost sales inventory systems of perishables under demand and lead time uncertainty," European Journal of Operational Research, Elsevier, vol. 308(2), pages 661-675.
    4. Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "Information sharing in supply chains with heterogeneous retailers," Omega, Elsevier, vol. 79(C), pages 116-132.
    5. Ojha, Divesh & Sahin, Funda & Shockley, Jeff & Sridharan, Sri V., 2019. "Is there a performance tradeoff in managing order fulfillment and the bullwhip effect in supply chains? The role of information sharing and information type," International Journal of Production Economics, Elsevier, vol. 208(C), pages 529-543.
    6. Wei-Shiun Chang & Daniel A. Sanchez-Loor, 2020. "Downstream Information Leaking and Information Sharing Between Partially Informed Retailers," Journal of Industry, Competition and Trade, Springer, vol. 20(4), pages 733-760, December.
    7. Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "OVAP: A strategy to implement partial information sharing among supply chain retailers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 122-136.
    8. Chang-Soo Kim & John Dinwoodie & Young-Joon Seo, 2018. "Inter-Firm Cooperation and Collaboration in Shipper—Shipping Company Relationships for Enhancing Sustainability," Sustainability, MDPI, vol. 10(10), pages 1-19, October.

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