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Evaluation of logistics related policies between two different levels of the supply chain network—a case study

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  • B. Rajeshkumar
  • T. RameshBabu

Abstract

This paper will discuss the case study conducted to evaluate a logistics related policy (time between successive collections of commodities) that optimizes the total shifting cost and minimizes the transportation cost by considering the problem as a Dynamic Multi Capacitated Vehicle Routing Problem (DMCVRP). The DMCVRP is formulated and solved for various policies using Mixed Integer Linear Programming (MILP) with an objective to minimize the cost associated with the distance traveled by the vehicles and the cost associated with unutilized capacity in the vehicles. Finally, we approximate the total shifting cost as a single variable function of transportation, inspection and inventory carrying cost, which possesses continuous derivatives at every order with the single variable as time between successive collections and derive the necessary and sufficient conditions in locating the optimum (minimum) total shifting cost. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • B. Rajeshkumar & T. RameshBabu, 2006. "Evaluation of logistics related policies between two different levels of the supply chain network—a case study," Annals of Operations Research, Springer, vol. 143(1), pages 77-89, March.
  • Handle: RePEc:spr:annopr:v:143:y:2006:i:1:p:77-89:10.1007/s10479-006-7373-2
    DOI: 10.1007/s10479-006-7373-2
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    References listed on IDEAS

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    1. Qu, Wendy W. & Bookbinder, James H. & Iyogun, Paul, 1999. "An integrated inventory-transportation system with modified periodic policy for multiple products," European Journal of Operational Research, Elsevier, vol. 115(2), pages 254-269, June.
    2. Anily, Shoshana, 1994. "The general multi-retailer EOQ problem with vehicle routing costs," European Journal of Operational Research, Elsevier, vol. 79(3), pages 451-473, December.
    3. S. Viswanathan & Kamlesh Mathur, 1997. "Integrating Routing and Inventory Decisions in One-Warehouse Multiretailer Multiproduct Distribution Systems," Management Science, INFORMS, vol. 43(3), pages 294-312, March.
    4. S. Anily & A. Federgruen, 1993. "Two-Echelon Distribution Systems with Vehicle Routing Costs and Central Inventories," Operations Research, INFORMS, vol. 41(1), pages 37-47, February.
    5. Walter J. Bell & Louis M. Dalberto & Marshall L. Fisher & Arnold J. Greenfield & R. Jaikumar & Pradeep Kedia & Robert G. Mack & Paul J. Prutzman, 1983. "Improving the Distribution of Industrial Gases with an On-Line Computerized Routing and Scheduling Optimizer," Interfaces, INFORMS, vol. 13(6), pages 4-23, December.
    6. S. Anily & A. Federgruen, 1990. "One Warehouse Multiple Retailer Systems with Vehicle Routing Costs," Management Science, INFORMS, vol. 36(1), pages 92-114, January.
    7. Awi Federgruen & Paul Zipkin, 1984. "A Combined Vehicle Routing and Inventory Allocation Problem," Operations Research, INFORMS, vol. 32(5), pages 1019-1037, October.
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    Cited by:

    1. Dias, J.C. Quaresma & Calado, J.M.F. & Mendonça, M.C., 2010. "The role of European «ro-ro» port terminals in the automotive supply chain management," Journal of Transport Geography, Elsevier, vol. 18(1), pages 116-124.

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