IDEAS home Printed from https://ideas.repec.org/p/ems/eureri/1443.html
   My bibliography  Save this paper

Factory Gate Pricing: An Analysis of the Dutch Retail Distribution

Author

Listed:
  • 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.

Suggested Citation

  • le Blanc, H.M. & Cruijssen, F. & Fleuren, H.A. & de Koster, M.B.M., 2004. "Factory Gate Pricing: An Analysis of the Dutch Retail Distribution," ERIM Report Series Research in Management ERS-2004-023-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:1443
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/1443/ERS%202004%20023%20LIS.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. M. Gaudioso & G. Paletta, 1992. "A Heuristic for the Periodic Vehicle Routing Problem," Transportation Science, INFORMS, vol. 26(2), pages 86-92, May.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Aykin, Turgut, 1995. "The hub location and routing problem," European Journal of Operational Research, Elsevier, vol. 83(1), pages 200-219, May.
    17. 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.
    18. 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.
    19. 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.
    20. S. Anily & A. Federgruen, 1990. "One Warehouse Multiple Retailer Systems with Vehicle Routing Costs," Management Science, INFORMS, vol. 36(1), pages 92-114, January.
    21. 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.
    22. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lindawati & Johan van Schagen & Mark Goh & Robert de Souza, 2014. "Collaboration in urban logistics: motivations and barriers," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(2), pages 278-290, July.
    2. Cruijssen, F., 2006. "Horizontal cooperation in transport and logistics," Other publications TiSEM ab6dbe68-aebc-4b03-8eea-d, Tilburg University, School of Economics and Management.
    3. 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.
    4. Cruijssen, F. & Borm, P.E.M. & Fleuren, H.A. & Hamers, H.J.M., 2005. "Insinking : A Methodology to Exploit Synergy in Transportation," Discussion Paper 2005-121, Tilburg University, Center for Economic Research.
    5. Rodríguez-Martín, Inmaculada & Yaman, Hande, 2022. "Periodic Vehicle Routing Problem with Driver Consistency and service time optimization," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 468-484.
    6. Defryn, Christof & Sörensen, Kenneth & Cornelissens, Trijntje, 2016. "The selective vehicle routing problem in a collaborative environment," European Journal of Operational Research, Elsevier, vol. 250(2), pages 400-411.
    7. DEFRYN, Christof & SÖRENSEN, Kenneth & CORNELISSENS, Trijntje, 2015. "The selective vehicle routing problem in a collaborative environment," Working Papers 2015006, University of Antwerp, Faculty of Business and Economics.
    8. Audy, Jean-François & D’Amours, Sophie & Rönnqvist, Mikael, 2012. "An empirical study on coalition formation and cost/savings allocation," International Journal of Production Economics, Elsevier, vol. 136(1), pages 13-27.
    9. DEFRYN, Christof & VANOVERMEIRE, Christine & SÖRENSEN, Kenneth & VAN BREEDAM, Alex & VANNIEUWENHUYSE, Bart & VERSTREPEN, Sven, 2014. "Gain sharing in horizontal logistic collaboration. A case study in the fresh fruit and vegetables sector," Working Papers 2014004, University of Antwerp, Faculty of Business and Economics.
    10. Cruijssen, Frans & Borm, Peter & Fleuren, Hein & Hamers, Herbert, 2010. "Supplier-initiated outsourcing: A methodology to exploit synergy in transportation," European Journal of Operational Research, Elsevier, vol. 207(2), pages 763-774, December.
    11. Rodríguez-Martín, Inmaculada & Salazar-González, Juan-José & Yaman, Hande, 2019. "The periodic vehicle routing problem with driver consistency," European Journal of Operational Research, Elsevier, vol. 273(2), pages 575-584.
    12. VANOVERMEIRE, Christine & CUERVO, Daniel Palhazi & SÖRENSEN, Kenneth, 2013. "Estimating collaborative profits under varying partner characteristics and strategies," Working Papers 2013031, University of Antwerp, Faculty of Business and Economics.
    13. Masoud Chitsaz & Jean-François Cordeau & Raf Jans, 2019. "A Unified Decomposition Matheuristic for Assembly, Production, and Inventory Routing," INFORMS Journal on Computing, INFORMS, vol. 31(1), pages 134-152, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cruijssen, F., 2006. "Horizontal cooperation in transport and logistics," Other publications TiSEM ab6dbe68-aebc-4b03-8eea-d, Tilburg University, School of Economics and Management.
    2. Leandro C. Coelho & Jean-François Cordeau & Gilbert Laporte, 2014. "Thirty Years of Inventory Routing," Transportation Science, INFORMS, vol. 48(1), pages 1-19, February.
    3. Anton J. Kleywegt & Vijay S. Nori & Martin W. P. Savelsbergh, 2004. "Dynamic Programming Approximations for a Stochastic Inventory Routing Problem," Transportation Science, INFORMS, vol. 38(1), pages 42-70, February.
    4. Baita, Flavio & Ukovich, Walter & Pesenti, Raffaele & Favaretto, Daniela, 1998. "Dynamic routing-and-inventory problems: a review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(8), pages 585-598, November.
    5. Raa, Birger & Aghezzaf, El-Houssaine, 2009. "A practical solution approach for the cyclic inventory routing problem," European Journal of Operational Research, Elsevier, vol. 192(2), pages 429-441, January.
    6. Mohd Kamarul Irwan Abdul Rahim & El-Houssaine Aghezzaf & Veronique Limère & Birger Raa, 2016. "Analysing the effectiveness of vendor-managed inventory in a single-warehouse, multiple-retailer system," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(8), pages 1953-1965, June.
    7. Anton J. Kleywegt & Vijay S. Nori & Martin W. P. Savelsbergh, 2002. "The Stochastic Inventory Routing Problem with Direct Deliveries," Transportation Science, INFORMS, vol. 36(1), pages 94-118, February.
    8. Ali Ekici & Okan Örsan Özener & Gültekin Kuyzu, 2015. "Cyclic Delivery Schedules for an Inventory Routing Problem," Transportation Science, INFORMS, vol. 49(4), pages 817-829, November.
    9. 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.
    10. 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.
    11. Patrick Jaillet & Jonathan F. Bard & Liu Huang & Moshe Dror, 2002. "Delivery Cost Approximations for Inventory Routing Problems in a Rolling Horizon Framework," Transportation Science, INFORMS, vol. 36(3), pages 292-300, August.
    12. Peter Francis & Karen Smilowitz & Michal Tzur, 2006. "The Period Vehicle Routing Problem with Service Choice," Transportation Science, INFORMS, vol. 40(4), pages 439-454, November.
    13. Zhao, Qiu-Hong & Chen, Shuang & Zang, Cun-Xun, 2008. "Model and algorithm for inventory/routing decision in a three-echelon logistics system," European Journal of Operational Research, Elsevier, vol. 191(3), pages 623-635, December.
    14. Zhao, Qiu-Hong & Wang, Shou-Yang & Lai, K.K., 2007. "A partition approach to the inventory/routing problem," European Journal of Operational Research, Elsevier, vol. 177(2), pages 786-802, March.
    15. Day, Jamison M. & Daniel Wright, P. & Schoenherr, Tobias & Venkataramanan, Munirpallam & Gaudette, Kevin, 2009. "Improving routing and scheduling decisions at a distributor of industrial gasses," Omega, Elsevier, vol. 37(1), pages 227-237, February.
    16. Jin-Hwa Song & Martin Savelsbergh, 2007. "Performance Measurement for Inventory Routing," Transportation Science, INFORMS, vol. 41(1), pages 44-54, February.
    17. Emre Çankaya & Ali Ekici & Okan Örsan Özener, 2019. "Humanitarian relief supplies distribution: an application of inventory routing problem," Annals of Operations Research, Springer, vol. 283(1), pages 119-141, December.
    18. Aghezzaf, El-Houssaine & Raa, Birger & Van Landeghem, Hendrik, 2006. "Modeling inventory routing problems in supply chains of high consumption products," European Journal of Operational Research, Elsevier, vol. 169(3), pages 1048-1063, March.
    19. Oğuz Solyalı & Haldun Süral, 2011. "A Branch-and-Cut Algorithm Using a Strong Formulation and an A Priori Tour-Based Heuristic for an Inventory-Routing Problem," Transportation Science, INFORMS, vol. 45(3), pages 335-345, August.
    20. Mosca, Alyssa & Vidyarthi, Navneet & Satir, Ahmet, 2019. "Integrated transportation – inventory models: A review," Operations Research Perspectives, Elsevier, vol. 6(C).

    More about this item

    Keywords

    factory gate pricing; retail distribution; supply chain management;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ems:eureri:1443. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/erimanl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.