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Evaluating vendor-managed inventory (VMI) in non-traditional environments using simulation

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  • Southard, Peter B.
  • Swenseth, Scott R.

Abstract

This study provided empirical evidence that sufficient economic benefits could be achieved with the use of a technology-enabled vendor-managed inventory (VMI) system in a unique chain such that a firm could justify spending the money necessary to create the infrastructure to support it. The models, while based on a specific type of business, were still generic enough that the results could be generalized to many types of highly distributed, variable demand delivery systems. The study compared the costs of inventory systems used in practice by rural farm cooperatives to possible technology-enabled systems. Fuel delivery data from two agricultural cooperatives in Nebraska provided the basis for this study. The data were used to construct demand distribution for discrete event simulation models of conventional cooperative fuel delivery systems. The results generated from this base model were compared to the operating costs of a technology-enabled system under a variety of VMI implementation alternatives. Performance was measured in inventory costs, delivery costs and stockouts. The study found that VMI alternatives outperformed traditional delivery methods and that the use of such technology could be economically justified in many logistics problems dealing with variable demand patterns through the cost savings created.

Suggested Citation

  • Southard, Peter B. & Swenseth, Scott R., 2008. "Evaluating vendor-managed inventory (VMI) in non-traditional environments using simulation," International Journal of Production Economics, Elsevier, vol. 116(2), pages 275-287, December.
    • Handle: RePEc:eee:proeco:v:116:y:2008:i:2:p:275-287
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    References listed on IDEAS

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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. Rad, Reza Hosseini & Razmi, Jafar & Sangari, Mohamad Sadegh & Ebrahimi, Zahra Fallah, 2014. "Optimizing an integrated vendor-managed inventory system for a single-vendor two-buyer supply chain with determining weighting factor for vendor׳s ordering cost," International Journal of Production Economics, Elsevier, vol. 153(C), pages 295-308.
    3. Sule Birim & Cigdem Sofyalioglu, 2017. "Evaluating vendor managed inventory systems: how incentives can benefit supply chain partners," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(1), pages 163-179, January.
    4. Lee, Jun-Yeon & Ren, Louie, 2011. "Vendor-managed inventory in a global environment with exchange rate uncertainty," International Journal of Production Economics, Elsevier, vol. 130(2), pages 169-174, April.
    5. 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.
    6. Kang, Jae-Hun & Kim, Yeong-Dae, 2012. "Inventory control in a two-level supply chain with risk pooling effect," International Journal of Production Economics, Elsevier, vol. 135(1), pages 116-124.
    7. Yu, Haiyan & Tang, Linglang & Xu, Yinfeng & Wang, Yong, 2015. "How much does VMI better than RMI in a global environment?," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 268-274.
    8. Rajesh K. Singh, 2013. "Analyzing the Factors for VMI Implementation: A Framework," Global Business Review, International Management Institute, vol. 14(1), pages 169-186, February.
    9. Kang, Jae-Hun & Kim, Yeong-Dae, 2010. "Coordination of inventory and transportation managements in a two-level supply chain," International Journal of Production Economics, Elsevier, vol. 123(1), pages 137-145, January.

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