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Models and Algorithms for Locating Facilities with Hybrid Demand for Service

In: Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013)

Author

Listed:
  • Rui-ling Shen

    (Tongji University)

  • Jia-zhen Huo

    (Tongji University)

  • Xu-fang Li

    (Tongji University
    SUES)

Abstract

We developed a new model for locating facilities with demand that are originated from both residential areas and from passing by flows. A mixed integer program is proposed with the objective function of maximum the total profit gained by serving both types of customers. Since the problem is NP-hard, greedy heuristic and improved greedy heuristic are proposed. The improved greedy heuristic presented solves the computational experiments with competitive results, while the run time is much less than that of the optimal method. The sensitivity of the optimal locations to the input parameters is analyzed with an example network and the results are reported.

Suggested Citation

  • Rui-ling Shen & Jia-zhen Huo & Xu-fang Li, 2014. "Models and Algorithms for Locating Facilities with Hybrid Demand for Service," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013), edition 127, pages 21-29, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40060-5_3
    DOI: 10.1007/978-3-642-40060-5_3
    as

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