IDEAS home Printed from https://ideas.repec.org/a/wly/transj/v61y2022i4p369-391.html

Order Batching and the Bullwhip Effect Reduction in a Cross‐Docking Strategy

Author

Listed:
  • Yassine Benrqya

Abstract

The purpose of this article is to analyze the effect of order batching on the bullwhip effect in a cross‐docking strategy. The model proposed uses simulation to analyze empirically the impact of order batching on the bullwhip effect in cross‐docking strategy compared to traditional warehousing. The study is based on a case study of a fast‐moving consumer goods company and a French retailer. In the model, a three‐stage supply chain composed of one supplier DC, one retailer DC, and 10 retailer stores is considered. The order‐up‐to (OUT) level policy is used to control inventory at each stage. The demand is forecasted using a simple moving average scheme. The empirical investigation shows that the use of cross‐docking leads to a bullwhip effect gain upstream in the supply chain in all cases and situations. Moreover, we show that there exists a high positive correlation between the physical volume of a product (measured by the number of items per pallet) and the bullwhip effect gain. Finally, the increase in lead time to the stores has little impact on the bullwhip effect gain upstream in the supply chain.

Suggested Citation

  • Yassine Benrqya, 2022. "Order Batching and the Bullwhip Effect Reduction in a Cross‐Docking Strategy," Transportation Journal, John Wiley & Sons, vol. 61(4), pages 369-391, September.
  • Handle: RePEc:wly:transj:v:61:y:2022:i:4:p:369-391
    DOI: 10.5325/transportationj.61.4.0369
    as

    Download full text from publisher

    File URL: https://doi.org/10.5325/transportationj.61.4.0369
    Download Restriction: no

    File URL: https://libkey.io/10.5325/transportationj.61.4.0369?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Riddalls, C. E. & Bennett, S., 2001. "The optimal control of batched production and its effect on demand amplification," International Journal of Production Economics, Elsevier, vol. 72(2), pages 159-168, July.
    2. Joaquim Jorge Vicente & Susana Relvas & Ana Paula Barbosa-Póvoa, 2018. "Effective bullwhip metrics for multi-echelon distribution systems under order batching policies with cyclic demand," International Journal of Production Research, Taylor & Francis Journals, vol. 56(4), pages 1593-1619, February.
    3. Potter, Andrew & Disney, Stephen M., 2006. "Bullwhip and batching: An exploration," International Journal of Production Economics, Elsevier, vol. 104(2), pages 408-418, December.
    4. Nyoman Pujawan, I, 2004. "The effect of lot sizing rules on order variability," European Journal of Operational Research, Elsevier, vol. 159(3), pages 617-635, December.
    5. Agustina, Dwi & Lee, C.K.M. & Piplani, Rajesh, 2014. "Vehicle scheduling and routing at a cross docking center for food supply chains," International Journal of Production Economics, Elsevier, vol. 152(C), pages 29-41.
    6. Yassine Benrqya & Imad Jabbouri, 2021. "Performance evaluation of European grocery retailers: a financial statement analysis," International Journal of Logistics Economics and Globalisation, Inderscience Enterprises Ltd, vol. 9(1), pages 24-39.
    7. Gebennini, Elisa & Grassi, Andrea & Rimini, Bianca & Depietri, Eleonora, 2013. "Costs and opportunities of moving picking activities upstream in distribution networks: A case study from the beverage industry," International Journal of Production Economics, Elsevier, vol. 143(2), pages 342-348.
    Full references (including those not matched with items on IDEAS)

    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. Potter, Andrew & Disney, Stephen M., 2006. "Bullwhip and batching: An exploration," International Journal of Production Economics, Elsevier, vol. 104(2), pages 408-418, December.
    2. Ponte, Borja & Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2022. "The implications of batching in the bullwhip effect and customer service of closed-loop supply chains," International Journal of Production Economics, Elsevier, vol. 244(C).
    3. A A Syntetos & N C Georgantzas & J E Boylan & B C Dangerfield, 2011. "Judgement and supply chain dynamics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1138-1158, June.
    4. Dass, Mayukh & Reshadi, Mehrnoosh & Li, Yuewu, 2023. "An exploration of ripple effects of advertising among major suppliers in a supply chain network," Journal of Business Research, Elsevier, vol. 169(C).
    5. Pastore, Erica & Alfieri, Arianna & Zotteri, Giulio, 2019. "An empirical investigation on the antecedents of the bullwhip effect: Evidence from the spare parts industry," International Journal of Production Economics, Elsevier, vol. 209(C), pages 121-133.
    6. Jaime Acevedo-Chedid & Melissa Caro Soto & Holman Ospina-Mateus & Katherinne Salas-Navarro & Shib Sankar Sana, 2023. "An optimization model for routing—location of vehicles with time windows and cross-docking structures in a sustainable supply chain of perishable foods," Operations Management Research, Springer, vol. 16(4), pages 1742-1765, December.
    7. H. Khorshidian & M. Akbarpour Shirazi & S. M. T. Fatemi Ghomi, 2019. "An intelligent truck scheduling and transportation planning optimization model for product portfolio in a cross-dock," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 163-184, January.
    8. Castellano, Davide & Gallo, Mosè & Grassi, Andrea & Santillo, Liberatina C., 2019. "The effect of GHG emissions on production, inventory replenishment and routing decisions in a single vendor-multiple buyers supply chain," International Journal of Production Economics, Elsevier, vol. 218(C), pages 30-42.
    9. Sara Martins & Pedro Amorim & Bernardo Almada-Lobo, 2018. "Delivery mode planning for distribution to brick-and-mortar retail stores: discussion and literature review," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 785-812, December.
    10. Imad Jabbouri & Omar Farooq & Rachid Jabbouri, 2024. "Economic policy uncertainty nexus with the value relevance of advertising: Evidence from an emerging market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2342-2359, April.
    11. Pujawan, I Nyoman & Silver, Edward A., 2008. "Augmenting the lot sizing order quantity when demand is probabilistic," European Journal of Operational Research, Elsevier, vol. 188(3), pages 705-722, August.
    12. Christos I. Papanagnou, 2022. "Measuring and eliminating the bullwhip in closed loop supply chains using control theory and Internet of Things," Annals of Operations Research, Springer, vol. 310(1), pages 153-170, March.
    13. Su, Yiqiang & Geunes, Joseph, 2012. "Price promotions, operations cost, and profit in a two-stage supply chain," Omega, Elsevier, vol. 40(6), pages 891-905.
    14. Miragliotta, Giovanni, 2006. "Layers and mechanisms: A new taxonomy for the Bullwhip Effect," International Journal of Production Economics, Elsevier, vol. 104(2), pages 365-381, December.
    15. Soto-Silva, Wladimir E. & Nadal-Roig, Esteve & González-Araya, Marcela C. & Pla-Aragones, Lluis M., 2016. "Operational research models applied to the fresh fruit supply chain," European Journal of Operational Research, Elsevier, vol. 251(2), pages 345-355.
    16. Ruidian Song & Hoong Chuin Lau & Xue Luo & Lei Zhao, 2022. "Coordinated Delivery to Shopping Malls with Limited Docking Capacity," Transportation Science, INFORMS, vol. 56(2), pages 501-527, March.
    17. Sana, Shib Sankar, 2013. "Sales team's initiatives and stock sensitive demand — A production control policy," Economic Modelling, Elsevier, vol. 31(C), pages 783-788.
    18. Rituraj Singh & Gourav Dwivedi, 2025. "Agri-food Supply Chain Management: A Review Using Bibliometric, Network, and Content Analyses," SN Operations Research Forum, Springer, vol. 6(2), pages 1-48, June.
    19. Lin, J. & Naim, M.M. & Purvis, L. & Gosling, J., 2017. "The extension and exploitation of the inventory and order based production control system archetype from 1982 to 2015," International Journal of Production Economics, Elsevier, vol. 194(C), pages 135-152.
    20. Jingwen Li & Ke Jing & Myroslav Khimich & Lixin Shen, 2023. "Optimization of Green Containerized Grain Supply Chain Transportation Problem in Ukraine Considering Disruption Scenarios," Sustainability, MDPI, vol. 15(9), pages 1-21, May.

    More about this item

    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:wly:transj:v:61:y:2022:i:4:p:369-391. 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: Wiley Content Delivery (email available below). General contact details of provider: .

    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.