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Allocating Cost of Service to Customers in Inventory Routing

Author

Listed:
  • Okan Örsan Özener

    (Department of Industrial Engineering, Ozyegin University, Istanbul 34794, Turkey)

  • Özlem Ergun

    (H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332)

  • Martin Savelsbergh

    (School of Mathematical and Physical Sciences, University of Newcastle, Callaghan NSW 2308, Australia)

Abstract

Vendor-managed inventory (VMI) replenishment is a collaboration between a supplier and its customers, where the supplier is responsible for managing the customers' inventory levels. In the VMI setting we consider, the supplier exploits synergies between customers, e.g., their locations, usage rates, and storage capacities, to reduce distribution costs. Due to the intricate interactions between customers, calculating a fair cost-to-serve for each customer is a daunting task. However, cost-to-serve information is useful when marketing to new customers or when revisiting routing and delivery quantity decisions. We design mechanisms for this cost allocation problem and determine their characteristics both analytically and computationally.

Suggested Citation

  • Okan Örsan Özener & Özlem Ergun & Martin Savelsbergh, 2013. "Allocating Cost of Service to Customers in Inventory Routing," Operations Research, INFORMS, vol. 61(1), pages 112-125, February.
    • Handle: RePEc:inm:oropre:v:61:y:2013:i:1:p:112-125
    DOI: 10.1287/opre.1120.1130
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    Cited by:

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    2. Mehmet Onur Olgun & Erdal Aydemir, 2021. "A new cooperative depot sharing approach for inventory routing problem," Annals of Operations Research, Springer, vol. 307(1), pages 417-441, December.
    3. Miroslav Prokić, 2023. "The applicability of Cooperative Game Theory in Rail Freight Corridors Framework," Shaping Post-COVID World – Challenges for Economic Theory and Policy, in: Aleksandra Praščević & Miomir Jakšić & Mihail Arandarenko & Dejan Trifunović & Milutin Ješić (ed.),Shaping Post-COVID World – Challenges for Economic Theory and Policy, chapter 14, pages 305-320, Faculty of Economics and Business, University of Belgrade.
    4. Chen, Yan & Huang, Zhenhua & Ai, Hongshan & Guo, Xingkun & Luo, Fan, 2021. "The Impact of GIS/GPS Network Information Systems on the Logistics Distribution Cost of Tobacco Enterprises," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    5. Yves Crama & Mahmood Rezaei & Martin Savelsbergh & Tom Van Woensel, 2018. "Stochastic Inventory Routing for Perishable Products," Transportation Science, INFORMS, vol. 52(3), pages 526-546, June.
    6. Martin Savelsbergh & Tom Van Woensel, 2016. "50th Anniversary Invited Article—City Logistics: Challenges and Opportunities," Transportation Science, INFORMS, vol. 50(2), pages 579-590, May.
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    8. Yanjun Shi & Na Lin & Qiaomei Han & Tongliang Zhang & Weiming Shen, 2020. "A Method for Transportation Planning and Profit Sharing in Collaborative Multi-Carrier Vehicle Routing," Mathematics, MDPI, vol. 8(10), pages 1-23, October.
    9. Dan C. Popescu & Philip Kilby, 2020. "Approximation of the Shapley value for the Euclidean travelling salesman game," Annals of Operations Research, Springer, vol. 289(2), pages 341-362, June.
    10. Ichiro Nishizaki & Tomohiro Hayashida & Shinya Sekizaki & Kojiro Furumi, 2023. "A two-stage linear production planning model with partial cooperation under stochastic demands," Annals of Operations Research, Springer, vol. 320(1), pages 293-324, January.
    11. Gansterer, Margaretha & Hartl, Richard F., 2018. "Collaborative vehicle routing: A survey," European Journal of Operational Research, Elsevier, vol. 268(1), pages 1-12.
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    13. Arroyo, Federico, 2024. "Cost Allocation in Vehicle Routing Problems with Time Windows," Junior Management Science (JUMS), Junior Management Science e. V., vol. 9(1), pages 1241-1268.
    14. Cheng, Lihong & Guo, Xiaolong & Li, Xiaoxiao & Yu, Yugang, 2022. "Data-driven ordering and transshipment decisions for online retailers and logistics service providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    15. Lai, Minghui & Cai, Xiaoqiang & Li, Xiang, 2017. "Mechanism design for collaborative production-distribution planning with shipment consolidation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 137-159.
    16. Aleksandra Praščević & Miomir Jakšić & Mihail Arandarenko & Dejan Trifunović & Milutin Ješić (ed.), 2023. "Shaping Post-COVID World – Challenges for Economic Theory and Policy," Shaping Post-COVID World – Challenges for Economic Theory and Policy, Faculty of Economics and Business, University of Belgrade, number 23, October –.
    17. Jessica Rodríguez‐Pereira & Burcu Balcik & Marie‐Ève Rancourt & Gilbert Laporte, 2021. "A Cost‐Sharing Mechanism for Multi‐Country Partnerships in Disaster Preparedness," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4541-4565, December.

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