Skip to main content
Log in

Minimizing the Total Cost in an Integrated Vendor—Managed Inventory System

  • Published:
Journal of Heuristics Aims and scope Submit manuscript

Abstract

In this paper we consider a complex production-distribution system, where a facility produces (or orders from an external supplier) several items which are distributed to a set of retailers by a fleet of vehicles. We consider Vendor-Managed Inventory (VMI) policies, in which the facility knows the inventory levels of the retailers and takes care of their replenishment policies. The production (or ordering) policy, the retailers replenishment policies and the transportation policy have to be determined so as to minimize the total system cost. The cost includes the fixed and variable production costs at the facility, the inventory costs at the facility and at the retailers and the transportation costs, that is the fixed costs of the vehicles and the traveling costs. We study two different types of VMI policies: The order-up-to level policy, in which the order-up-to level quantity is shipped to each retailer whenever served (i.e. the quantity delivered to each retailer is such that the maximum level of the inventory at the retailer is reached) and the fill-fill-dump policy, in which the order-up-to level quantity is shipped to all but the last retailer on each delivery route, while the quantity delivered to the last retailer is the minimum between the order-up-to level quantity and the residual transportation capacity of the vehicle. We propose two different decompositions of the problem and optimal or heuristic procedures for the solution of the subproblems. We show that, for reasonable initial values of the variables, the order in which the subproblems are solved does not influence the final solution. We will first solve the distribution subproblem and then the production subproblem. The computational results show that the fill-fill-dump policy reduces the average cost with respect to the order-up-to level policy and that one of the decompositions is more effective. Moreover, we compare the VMI policies with the more traditional Retailer-Managed Inventory (RMI) policy and show that the VMI policies significantly reduce the average cost with respect to the RMI policy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Axsäter, S. (2001). “A Note on Stock Replenishment and Shipment Scheduling for Vendor-Managed Inventory Systems.” Management Science 47, 1306–1310.

    Article  Google Scholar 

  • Axsäter, S. and K. Rosling. (1994). “Multi-Level Production-Inventory Control: Material Requirements Planning or Reorder Point Policies?” European Journal of Operational Research 75, 405–412.

    Article  Google Scholar 

  • Berman, O. and R.C. Larson. (2001). “Deliveries in an Inventory/Routing Problem Using Stochastic Dynamic Programming.” Transportation Science 35, 192–213.

    Article  Google Scholar 

  • Bertazzi, L., G. Paletta, and M.G. Speranza. (2002). “Deterministic Order-up-to Level Policies in an Inventory Routing Problem.” Transportation Science 36, 119–132.

    Article  Google Scholar 

  • Blumenfeld, D.E., L.D. Burns, J.D. Diltz, and C.F. Daganzo. (1985). “Analyzing Trade-offs between Transportation, Inventory and Production Costs on Freight Networks.” Transportation Research 19B, 361–380.

    MathSciNet  Google Scholar 

  • Campbell, A.M., L. Clarke, A.J. Kleywegt, and M.W.P. Savelsbergh. (1998). “The Inventory Routing Problem.” In T.G. Crainic and G. Laporte (eds.), Fleet Management and Logistics, Boston: Kluwer Academic Publishers, pp. 95–113.

  • Campbell, A.M. and M.W.P. Savelsbergh. (2004). “A Decomposition Approach for the Inventory Routing Problem.” Transportation Science 38, 488–502.

    Article  Google Scholar 

  • Çetinkaya, S. and Lee, C.-Y. (2000). “Stock Replenishment and Shipment Scheduling for Vendor-Managed Inventory Systems.” Management Science 46, 217–232.

    Article  Google Scholar 

  • Chandra, P. and M.L. Fisher. (1994). “Coordination of Production and Distribution Planning.” European Journal of Operational Research 72, 503–517.

    Article  Google Scholar 

  • Cheung, K.L. and H.L. Lee. (2002). “The Inventory Benefit of Shipment Coordination and Stock Rebalancing in a Supply Chain.” Management Science 48, 300–306.

    Article  Google Scholar 

  • Cohen, M.A. and H.L. Lee. (1988). “Strategic Analysis of Integrated Production-Distribution Systems: Models and Methods.” Operations Research 35, 216–228.

    Article  Google Scholar 

  • Erengüç, Ş.S., N.C. Simpson, and A.J. Vakharia. (1999). “Integrated Production/Distribution Planning in Supply Chains: An Invited Review.” European Journal of Operational Research 115, 219–236.

    Google Scholar 

  • Fry, M.J., R. Kapuscinski, and T.L. Olsen. (2001). “Coordinating Production and Delivery under a (z,Z)-Type Vendor-Managed Inventory Contract.” Manufacturing & Service Operations Management 3, 151–173.

    Google Scholar 

  • Hall, N.G. and C.N. Potts. (2003). “Supply Chain Scheduling: Batching and Delivery.” Operations Research 51, 566–584.

    Article  MathSciNet  Google Scholar 

  • Hu, T.C. (1982). Combinatorial Algorithms, Reading, MA: Addison Wesley.

    Google Scholar 

  • Lee, H.L. and S. Nahmias. (1993). “Single-Product, Single-Location Models.” In Handbooks in Operations Research & Management Science, vol. 4, North-Holland: Elsevier Science Publishers, pp. 3–55.

  • Kleywegt, A.J., V.S. Nori, and M.W.P. Savelsbergh. (2002). “The Stochastic Inventory Routing Problem with Direct Deliveries.” Transportation Science 36, 94–118.

    Article  Google Scholar 

  • Kleywegt, A.J., V.S. Nori, and M.W.P. Savelsbergh. (2004). “Dynamic Programming Approximation for a Stochastic Inventory Routing Problem.” Transportation Science 38, 42–70.

    Article  Google Scholar 

  • Rabah, M.Y. and H.S. Mahmassani. (2002). “Impact of Electronic Commerce on Logistics Operations: A Focus on Vendor Managed Inventory (VMI) Strategies.” Technical Report N. SWUTC/02/167227-1, Center for Transportation Research, University of Texas at Austin.

  • Sarmiento, A.M. and R. Nagi. (1999). “A Review of Integrated Analysis of Production-Distribution Systems.” IIE Transactions 31, 1061–1074.

    Article  Google Scholar 

  • Thomas, D.J. and P.M. Griffin. (1996). “Coordinated Supply Chain Management.” European Journal of Operational Research 94, 1–15.

    Article  Google Scholar 

  • Toth, P. and D. Vigo. (2002). The Vehicle Routing Problem, SIAM Monographs on Discrete Mathematics and Applications, Philadelphia.

  • Wagner, H.M. and T.M. Whitin. (1958). “Dynamic Version of the Economic Lot Size Model.” Management Science 5, 89–96.

    Google Scholar 

  • Webb, I.R. and R.C. Larson. (1995). “Period and Phase of Customer Replenishment: A New Approach to the Strategic Inventory/Routing Problem.” European Journal of Operational Research 85, 132–148.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luca Bertazzi.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bertazzi, L., Paletta, G. & Speranza, M.G. Minimizing the Total Cost in an Integrated Vendor—Managed Inventory System. J Heuristics 11, 393–419 (2005). https://doi.org/10.1007/s10732-005-0616-6

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10732-005-0616-6

Keywords

Navigation