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Efficient solution of large scale, single-source, capacitated plant location problems

Author

Listed:
  • K S Hindi

    (Brunel University)

  • K Pieńkosz

    (Warsaw University of Technology)

Abstract

The single-source, capacitated plant location problem is considered. This problem differs from the capacitated plant location problem by the additional requirement that each customer must be supplied with all its demand from a single plant. An efficient heuristic solution, capable of solving large problem instances, is presented. The heuristic combines Lagrangian relaxation with restricted neighbourhood search. Computational experiments on two sets of problem instances are presented.

Suggested Citation

  • K S Hindi & K Pieńkosz, 1999. "Efficient solution of large scale, single-source, capacitated plant location problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(3), pages 268-274, March.
    • Handle: RePEc:pal:jorsoc:v:50:y:1999:i:3:d:10.1057_palgrave.jors.2600698
    DOI: 10.1057/palgrave.jors.2600698
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    Cited by:

    1. Vincent Tulasi & Isaac Kwasi Adu & Elikem Kofi Krampa, 2016. "Location of Farmers Warehouse at Adaklu Traditional Area, Volta Region, Ghana," Journal of Optimization, Hindawi, vol. 2016, pages 1-10, July.
    2. Iván Contreras & Juan Díaz, 2008. "Scatter search for the single source capacitated facility location problem," Annals of Operations Research, Springer, vol. 157(1), pages 73-89, January.
    3. Mohammad M. Fazel-Zarandi & J. Christopher Beck, 2012. "Using Logic-Based Benders Decomposition to Solve the Capacity- and Distance-Constrained Plant Location Problem," INFORMS Journal on Computing, INFORMS, vol. 24(3), pages 387-398, August.
    4. 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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