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Factory gate pricing: An analysis of the Dutch retail distribution

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  • le Blanc, H.M.
  • Cruijssen, F.
  • Fleuren, H.A.
  • de Koster, M.B.M.

Abstract

Factory Gate Pricing (FGP) is a relatively new phenomenon in retail distribution. Under FGP, products are no longer delivered at the retailer distribution center, but collected by the retailer at the factory gates of the suppliers. Owing to both the asymmetry in the distribution networks (the supplier sites greatly outnumber the retailer distribution centers) and the better inventory and transport coordination mechanisms, this is likely to result in high savings. A mathematical model was used to analyze the benefits of FGP for a case study in the Dutch retail sector. Extensive numerical results are presented to show the effect of the orchestration shift from supplier to retailer, the improved coordination mechanisms, and sector-wide cooperation.
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  • le Blanc, H.M. & Cruijssen, F. & Fleuren, H.A. & de Koster, M.B.M., 2006. "Factory gate pricing: An analysis of the Dutch retail distribution," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1950-1967, November.
    • Handle: RePEc:eee:ejores:v:174:y:2006:i:3:p:1950-1967
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    1. G. Clarke & J. W. Wright, 1964. "Scheduling of Vehicles from a Central Depot to a Number of Delivery Points," Operations Research, INFORMS, vol. 12(4), pages 568-581, August.
    2. Herer, Yale T. & Levy, Roberto, 1997. "The Metered Inventory Routing Problem, an integrative heuristic algorithm," International Journal of Production Economics, Elsevier, vol. 51(1-2), pages 69-81, August.
    3. Moshe Dror & Michael Ball, 1987. "Inventory/routing: Reduction from an annual to a short‐period problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 34(6), pages 891-905, December.
    4. Aykin, Turgut, 1995. "The hub location and routing problem," European Journal of Operational Research, Elsevier, vol. 83(1), pages 200-219, May.
    5. Baptista, Susana & Oliveira, Rui Carvalho & Zuquete, Eduardo, 2002. "A period vehicle routing case study," European Journal of Operational Research, Elsevier, vol. 139(2), pages 220-229, June.
    6. 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.
    7. M. Gaudioso & G. Paletta, 1992. "A Heuristic for the Periodic Vehicle Routing Problem," Transportation Science, INFORMS, vol. 26(2), pages 86-92, May.
    8. 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.
    9. Irnich, Stefan, 2000. "A multi-depot pickup and delivery problem with a single hub and heterogeneous vehicles," European Journal of Operational Research, Elsevier, vol. 122(2), pages 310-328, April.
    10. 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.
    11. Tan, C.C.R. & Beasley, J.E., 1984. "A heuristic algorithm for the period vehicle routing problem," Omega, Elsevier, vol. 12(5), pages 497-504.
    12. Li, Susan X. & Huang, Zhimin & Zhu, Joe & Chau, Patrick Y. K., 2002. "Cooperative advertising, game theory and manufacturer-retailer supply chains," Omega, Elsevier, vol. 30(5), pages 347-357, October.
    13. T. William Chien & Anantaram Balakrishnan & Richard T. Wong, 1989. "An Integrated Inventory Allocation and Vehicle Routing Problem," Transportation Science, INFORMS, vol. 23(2), pages 67-76, May.
    14. S. Anily & A. Federgruen, 1990. "One Warehouse Multiple Retailer Systems with Vehicle Routing Costs," Management Science, INFORMS, vol. 36(1), pages 92-114, January.
    15. Liu, Jiyin & Li, Chung-Lun & Chan, Chun-Yan, 2003. "Mixed truck delivery systems with both hub-and-spoke and direct shipment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(4), pages 325-339, July.
    16. Daganzo, Carlos F. & Newell, Gordon F., 1985. "Physical distribution from a warehouse: Vehicle coverage and inventory levels," Transportation Research Part B: Methodological, Elsevier, vol. 19(5), pages 397-407, October.
    17. Mercer, Alan, 1993. "The consequences for manufacturers of changes in retail distribution," European Journal of Operational Research, Elsevier, vol. 64(3), pages 457-461, February.
    18. Albert Y. Ha & Lode Li & Shu-Ming Ng, 2003. "Price and Delivery Logistics Competition in a Supply Chain," Management Science, INFORMS, vol. 49(9), pages 1139-1153, September.
    19. Disney, S. M. & Potter, A. T. & Gardner, B. M., 2003. "The impact of vendor managed inventory on transport operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(5), pages 363-380, September.
    20. Ki Ling Cheung & Hau L. Lee, 2002. "The Inventory Benefit of Shipment Coordination and Stock Rebalancing in a Supply Chain," Management Science, INFORMS, vol. 48(2), pages 300-306, February.
    21. 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.
    22. Dennis E. Blumenfeld & Lawrence D. Burns & Carlos F. Daganzo & Michael C. Frick & Randolph W. Hall, 1987. "Reducing Logistics Costs at General Motors," Interfaces, INFORMS, vol. 17(1), pages 26-47, February.
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    8. Harris, Irina & Naim, Mohamed & Palmer, Andrew & Potter, Andrew & Mumford, Christine, 2011. "Assessing the impact of cost optimization based on infrastructure modelling on CO2 emissions," International Journal of Production Economics, Elsevier, vol. 131(1), pages 313-321, May.
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    More about this item

    JEL classification:

    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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