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The value of VMI beyond information sharing in a single supplier multiple retailers supply chain under a non-stationary (Rn, Sn) policy

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  • Choudhary, Devendra
  • Shankar, Ravi

Abstract

This study aims to determine the value of vendor-managed inventory (VMI) over independent decision making with information sharing (IS) under non-stationary stochastic demand with service-level constraints. For this purpose, we utilize mixed-integer linear programming formulations to quantify the benefits that can be accrued by a supplier, multiple retailers and the system as a whole by switching from IS to VMI. More specifically, we investigate the incremental value that VMI provides beyond IS in terms of expected cost savings, inventory reductions, and decrease in shipment sizes from the supplier to the retailers by conducting a large number of computational experiments. Results reveal that the decision transfer component of VMI improves these performance measures significantly when the supplier׳s setup cost is low and order issuing efficiency is high. The benefits offered by VMI are negligible under the problem settings where the supplier׳s order issuing efficiency is low and the production setup serves solely a single replenishment under IS.

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  • Choudhary, Devendra & Shankar, Ravi, 2015. "The value of VMI beyond information sharing in a single supplier multiple retailers supply chain under a non-stationary (Rn, Sn) policy," Omega, Elsevier, vol. 51(C), pages 59-70.
    • Handle: RePEc:eee:jomega:v:51:y:2015:i:c:p:59-70
    DOI: 10.1016/j.omega.2014.09.004
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    Cited by:

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    2. Sabitha, Devarajulu & Rajendran, Chandrasekharan & Kalpakam, S. & Ziegler, Hans, 2016. "The value of information sharing in a serial supply chain with AR(1) demand and non-zero replenishment lead times," European Journal of Operational Research, Elsevier, vol. 255(3), pages 758-777.
    3. Fidel Torres & César García-Díaz, 2018. "Evolutionary dynamics of two-actor VMI-driven supply chains," Computational and Mathematical Organization Theory, Springer, vol. 24(3), pages 351-377, September.
    4. Saha, Subrata & Sarkar, Biswajit & Sarkar, Mitali, 2023. "Application of improved meta-heuristic algorithms for green preservation technology management to optimize dynamical investments and replenishment strategies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 209(C), pages 426-450.
    5. Li, Qiu-xiang & Ji, Hui-min & Huang, Yi-min, 2022. "The information leakage strategies of the supply chain under the block chain technology introduction," Omega, Elsevier, vol. 110(C).
    6. 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.
    7. Weißhuhn, Sandria & Hoberg, Kai, 2021. "Designing smart replenishment systems: Internet-of-Things technology for vendor-managed inventory at end consumers," European Journal of Operational Research, Elsevier, vol. 295(3), pages 949-964.

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