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An Efficient Greedy Heuristic for Warehouse-Retailer Network Design Optimization

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  • Jia Shu

    (Department of Management Science and Engineering, School of Economics and Management, Southeast University, Nanjing, 210096 Jiangsu, P.R. China)

Abstract

In this paper, we study a warehouse-retailer network design (WRND) model that simultaneously makes the location, distribution, and warehouse-retailer echelon inventory replenishment decisions. Although a column generation algorithm was proposed recently in the literature, it remains a challenge to solve large size instances of this NP-hard problem efficiently and effectively. The purpose of this paper is to present a greedy algorithm. Computational results demonstrate that our greedy algorithm can solve large-scale WRND problems efficiently with errors within 3%--4% on average.

Suggested Citation

  • Jia Shu, 2010. "An Efficient Greedy Heuristic for Warehouse-Retailer Network Design Optimization," Transportation Science, INFORMS, vol. 44(2), pages 183-192, May.
    • Handle: RePEc:inm:ortrsc:v:44:y:2010:i:2:p:183-192
    DOI: 10.1287/trsc.1090.0302
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    Cited by:

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    2. Ali Diabat & Jean-Philippe Richard, 2015. "An integrated supply chain problem: a nested lagrangian relaxation approach," Annals of Operations Research, Springer, vol. 229(1), pages 303-323, June.
    3. Wu, Ting & Shen, Houcai & Zhu, Cheng, 2015. "A multi-period location model with transportation economies-of-scale and perishable inventory," International Journal of Production Economics, Elsevier, vol. 169(C), pages 343-349.
    4. Nasiri, G. Reza & Deymeh, Hadi & Karimi, Behrooz & Miandoabchi, Elnaz, 2021. "Incorporating sales and marketing considerations into a competitive multi-echelon distribution network design problem with pricing strategy in a stochastic environment," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    5. Wenjun Ni & Jia Shu & Miao Song & Dachuan Xu & Kaike Zhang, 2021. "A Branch-and-Price Algorithm for Facility Location with General Facility Cost Functions," INFORMS Journal on Computing, INFORMS, vol. 33(1), pages 86-104, January.
    6. Fengmin Wang & Dachuan Xu & Chenchen Wu, 2016. "Combinatorial approximation algorithms for the robust facility location problem with penalties," Journal of Global Optimization, Springer, vol. 64(3), pages 483-496, March.
    7. Burcu B. Keskin & Halit Üster, 2012. "Production/distribution system design with inventory considerations," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(2), pages 172-195, March.
    8. Jagadeesan Viswanath & Rajamanickam Thilagavathi & Krishnasamy Karthik & Miroslav Mahdal, 2023. "A Study of a Two Storage Single Product Inventory System with Ramp Type Demand, N-Phase Prepayment and Purchase for Exigency," Mathematics, MDPI, vol. 11(7), pages 1-17, April.
    9. Jia Shu & Qiang Ma & Sijie Li, 2010. "Integrated location and two-echelon inventory network design under uncertainty," Annals of Operations Research, Springer, vol. 181(1), pages 233-247, December.
    10. Yu Li & Jia Shu & Xi Wang & Naihua Xiu & Dachuan Xu & Jiawei Zhang, 2013. "Approximation Algorithms for Integrated Distribution Network Design Problems," INFORMS Journal on Computing, INFORMS, vol. 25(3), pages 572-584, August.
    11. Zhang, Zhi-Hai & Unnikrishnan, Avinash, 2016. "A coordinated location-inventory problem in closed-loop supply chain," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 127-148.
    12. Zhong, Yuanguang & Shu, Jia & Xie, Wei & Zhou, Yong-Wu, 2018. "Optimal trade credit and replenishment policies for supply chain network design," Omega, Elsevier, vol. 81(C), pages 26-37.
    13. Ali Diabat & Jean-Philippe Richard & Craig Codrington, 2013. "A Lagrangian relaxation approach to simultaneous strategic and tactical planning in supply chain design," Annals of Operations Research, Springer, vol. 203(1), pages 55-80, March.

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