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A mixed integer linear programming model to support e-fulfillment strategies in warehouse-based supermarket chains

Author

Listed:
  • Mar Vazquez-Noguerol

    (Universidade de Vigo, Grupo de Ingeniería de Organización (GIO), Escola de Enxeñaría Industrial, Departamento Organización de Empresas e Márketing)

  • Jose A. Comesaña-Benavides

    (Universidade de Vigo, Grupo de Ingeniería de Organización (GIO), Escola de Enxeñaría Industrial, Departamento Organización de Empresas e Márketing)

  • Sara Riveiro-Sanroman

    (Universidade de Vigo, Grupo de Ingeniería de Organización (GIO), Escola de Enxeñaría Industrial, Departamento Organización de Empresas e Márketing)

  • J. Carlos Prado-Prado

    (Universidade de Vigo, Grupo de Ingeniería de Organización (GIO), Escola de Enxeñaría Industrial, Departamento Organización de Empresas e Márketing)

Abstract

The use of the online channel has greatly increased the logistics costs of supermarket chains. Even the difficulty of managing order picking and delivery processes has increased due to the short delivery times and the preservation of perishable products. Against that backdrop, the proposed approach presents a mathematical model for planning the e-fulfillment activities with the objective of ensuring maximum efficiency. The linear programming model has been designed for e-grocers that prepare their online orders at central warehouses. The mathematical model determines both the time windows during which picking and transport should take place and the assignment of trucks to delivery routes. The allocation of online orders is performed taking into account the conservation requirement of each type of product and the availability of means. Considering this planning tool, managers can improve the decision-making process guaranteeing the quality of service while reducing the e-fulfillment cost for joint picking and delivery point of view. Motivated by a cooperation with a supermarket chain, results bring great insight based on the simulation of different logistics alternatives. Companies and researchers can compare the strategy of leveling the workload and the strategy of reducing the number of means, a common alternative in logistics outsourced to third parties. In addition, the different scenarios developed make it possible to determine the substantial savings achieved by modifying the delivery services and advancing the order preparation. As a result, managerial insights are identified highlighting the importance of efficient order planning to improve the profitability of online sales.

Suggested Citation

  • Mar Vazquez-Noguerol & Jose A. Comesaña-Benavides & Sara Riveiro-Sanroman & J. Carlos Prado-Prado, 2022. "A mixed integer linear programming model to support e-fulfillment strategies in warehouse-based supermarket chains," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1369-1402, December.
  • Handle: RePEc:spr:cejnor:v:30:y:2022:i:4:d:10.1007_s10100-021-00778-x
    DOI: 10.1007/s10100-021-00778-x
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    References listed on IDEAS

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    1. Rasini, Monica & Agatz, Niels & Tappia, Elena, 2020. "Anticipatory shipment for pickup point supply," Omega, Elsevier, vol. 93(C).
    2. Marcia Mkansi & Chukuakadibia Eresia-Eke & Oyetola Emmanuel-Ebikake, 2018. "E-grocery challenges and remedies: Global market leaders perspective," Cogent Business & Management, Taylor & Francis Journals, vol. 5(1), pages 1459338-145, January.
    3. Paul, Joydeep & Agatz, Niels & Savelsbergh, Martin, 2019. "Optimizing Omni-Channel Fulfillment with Store Transfers," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 381-396.
    4. Mitsunori Hirogaki, 2015. "Key factors in successful online grocery retailing: empirical evidence from Tokyo, Japan," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 26(2), pages 139-153.
    5. Arbex Valle, Cristiano & Beasley, John E, 2020. "Order batching using an approximation for the distance travelled by pickers," European Journal of Operational Research, Elsevier, vol. 284(2), pages 460-484.
    6. Xinan Yang & Arne K. Strauss & Christine S. M. Currie & Richard Eglese, 2016. "Choice-Based Demand Management and Vehicle Routing in E-Fulfillment," Transportation Science, INFORMS, vol. 50(2), pages 473-488, May.
    7. Christian Seitz & Ján Pokrivčák & Marián Tóth & Miroslav Plevný, 2017. "Online grocery retailing in Germany: an explorative analysis," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(6), pages 1243-1263, November.
    8. Magali Jara & Dany Vyt & Olivier Mevel & Thierry Morvan & Nélida Morvan, 2018. "Measuring customers benefits of click and collect," Post-Print halshs-01806403, HAL.
    9. Agatz, Niels A.H. & Fleischmann, Moritz & van Nunen, Jo A.E.E., 2008. "E-fulfillment and multi-channel distribution - A review," European Journal of Operational Research, Elsevier, vol. 187(2), pages 339-356, June.
    10. Esra Suel & Nicolò Daina & John W. Polak, 2018. "A hazard-based approach to modelling the effects of online shopping on intershopping duration," Transportation, Springer, vol. 45(2), pages 415-428, March.
    11. A. Scholz & G. Wäscher, 2017. "Order Batching and Picker Routing in manual order picking systems: the benefits of integrated routing," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 491-520, June.
    12. Holzapfel, Andreas & Hübner, Alexander & Kuhn, Heinrich & Sternbeck, Michael G., 2016. "Delivery pattern and transportation planning in grocery retailing," European Journal of Operational Research, Elsevier, vol. 252(1), pages 54-68.
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