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The capacitated plant location problem with customers and suppliers matching

Author

Listed:
  • Zhu, Zhanguo
  • Chu, Feng
  • Sun, Linyan

Abstract

This paper introduces a new problem called the capacitated plant location problem with customer and supplier matching (CLCSM). The product distribution from plants to customers and the material supply from suppliers to plants are considered together. We merge a distribution trip and a supply trip into one triangular trip for saving allocation cost. Vehicles from plants visit a customer and a supplier for each trip. We provide a heuristic solution procedure based on Lagrangian relaxation. Computational results indicate that the proposed heuristic solution procedure is shown to be efficient yielding optimal or near-optimal solutions for randomly generated instances.

Suggested Citation

  • Zhu, Zhanguo & Chu, Feng & Sun, Linyan, 2010. "The capacitated plant location problem with customers and suppliers matching," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 469-480, May.
    • Handle: RePEc:eee:transe:v:46:y:2010:i:3:p:469-480
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    Citations

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    Cited by:

    1. Chan Y. Han & Brian J. Lunday & Matthew J. Robbins, 2016. "A Game Theoretic Model for the Optimal Location of Integrated Air Defense System Missile Batteries," INFORMS Journal on Computing, INFORMS, vol. 28(3), pages 405-416, August.
    2. Maria João Santos & Pedro Amorim & Alexandra Marques & Ana Carvalho & Ana Póvoa, 2020. "The vehicle routing problem with backhauls towards a sustainability perspective: a review," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(2), pages 358-401, July.
    3. Li, Jinfeng & Chu, Feng & Prins, Christian & Zhu, Zhanguo, 2014. "Lower and upper bounds for a two-stage capacitated facility location problem with handling costs," European Journal of Operational Research, Elsevier, vol. 236(3), pages 957-967.
    4. Wu, Shanhua & Yang, Zhongzhen, 2018. "Optimizing location of manufacturing industries in the context of economic globalization: A bi-level model based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 327-337.

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