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Coordinating replenishment mechanisms in supply chain: From the collaborative supplier and store-level retailer perspective

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  • Lyu, JrJung
  • Ding, Jyh-Hong
  • Chen, Ping-Shun

Abstract

Supply chain integration has affected the replenishment operations between suppliers and store-level retailers. This research focuses on the store-level retailer's replenishment problems and proposes three collaborative replenishment mechanism models in the collaborative supplier and store-level retailer environment. The simulation models are developed based on a case grocery company and explore the impacts of different scenarios (such as customer arrival rates, inventory control policies, and periodic review times) on the system performance. The results can provide the implications for suppliers and store-level retailers to coordinate their replenishment mechanisms. Finally, practical replenishment issues and future directions are discussed.

Suggested Citation

  • Lyu, JrJung & Ding, Jyh-Hong & Chen, Ping-Shun, 2010. "Coordinating replenishment mechanisms in supply chain: From the collaborative supplier and store-level retailer perspective," International Journal of Production Economics, Elsevier, vol. 123(1), pages 221-234, January.
    • Handle: RePEc:eee:proeco:v:123:y:2010:i:1:p:221-234
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    1. Zhao, Xiande & Xie, Jinxing & Leung, Janny, 2002. "The impact of forecasting model selection on the value of information sharing in a supply chain," European Journal of Operational Research, Elsevier, vol. 142(2), pages 321-344, October.
    2. van der Vaart, Taco & van Donk, Dirk Pieter, 2008. "A critical review of survey-based research in supply chain integration," International Journal of Production Economics, Elsevier, vol. 111(1), pages 42-55, January.
    3. Disney, S. M. & Towill, D. R., 2003. "The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains," International Journal of Production Economics, Elsevier, vol. 85(2), pages 199-215, August.
    4. Dudek, Gregor & Stadtler, Hartmut, 2005. "Negotiation-based collaborative planning between supply chains partners," European Journal of Operational Research, Elsevier, vol. 163(3), pages 668-687, June.
    5. Sari, Kazim, 2008. "On the benefits of CPFR and VMI: A comparative simulation study," International Journal of Production Economics, Elsevier, vol. 113(2), pages 575-586, June.
    6. De Toni, Alberto Felice & Zamolo, Elena, 2005. "From a traditional replenishment system to vendor-managed inventory: A case study from the household electrical appliances sector," International Journal of Production Economics, Elsevier, vol. 96(1), pages 63-79, April.
    7. Evan L. Porteus, 1985. "Numerical Comparisons of Inventory Policies for Periodic Review Systems," Operations Research, INFORMS, vol. 33(1), pages 134-152, February.
    8. Byrne, P.J. & Heavey, Cathal, 2006. "The impact of information sharing and forecasting in capacitated industrial supply chains: A case study," International Journal of Production Economics, Elsevier, vol. 103(1), pages 420-437, September.
    9. Reyes, Pedro M. & Frazier, Gregory V., 2007. "Goal programming model for grocery shelf space allocation," European Journal of Operational Research, Elsevier, vol. 181(2), pages 634-644, September.
    10. Sen, Alper, 2008. "The US fashion industry: A supply chain review," International Journal of Production Economics, Elsevier, vol. 114(2), pages 571-593, August.
    11. Nilsson, Andreas & Segerstedt, Anders & van der Sluis, Erik, 2007. "A new iterative heuristic to solve the joint replenishment problem using a spreadsheet technique," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 399-405, July.
    12. Lohtia, Ritu & Xie, Frank Tian & Subramaniam, Ramesh, 2004. "Efficient consumer response in Japan: Industry concerns, current status, benefits, and barriers to implementation," Journal of Business Research, Elsevier, vol. 57(3), pages 306-311, March.
    13. Chiou, Chuang-Chun & Yao, Ming-Jong & Tsai, Jenteng, 2007. "A mutually beneficial coordination mechanism for a one-supplier multi-retailers supply chain," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 314-328, July.
    14. Oke, Adegoke & Gopalakrishnan, Mohan, 2009. "Managing disruptions in supply chains: A case study of a retail supply chain," International Journal of Production Economics, Elsevier, vol. 118(1), pages 168-174, March.
    15. Holweg, Matthias & Disney, Stephen & Holmström, Jan & Småros, Johanna, 2005. "Supply Chain Collaboration:: Making Sense of the Strategy Continuum," European Management Journal, Elsevier, vol. 23(2), pages 170-181, April.
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    Cited by:

    1. 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.
    2. Paitoon Varadejsatitwong & Ruth Banomyong & Puthipong Julagasigorn, 2022. "A Proposed Performance-Measurement System for Enabling Supply-Chain Strategies," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    3. Xu, Xiaoyan & Choi, Tsan-Ming & Chung, Sai-Ho & Guo, Shu, 2023. "Collaborative-commerce in supply chains: A review and classification of analytical models," International Journal of Production Economics, Elsevier, vol. 263(C).
    4. Hartzel, Kathleen S. & Wood, Charles A., 2017. "Factors that affect the improvement of demand forecast accuracy through point-of-sale reporting," European Journal of Operational Research, Elsevier, vol. 260(1), pages 171-182.
    5. Yu, Jonas C.P., 2013. "A collaborative strategy for deteriorating inventory system with imperfect items and supplier credits," International Journal of Production Economics, Elsevier, vol. 143(2), pages 403-409.
    6. 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.

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