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Location of a semi-obnoxious facility with elliptic maximin and network minisum objectives

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  • Heydari, Ruhollah
  • Melachrinoudis, Emanuel

Abstract

This paper considers the problem of locating a single semi-obnoxious facility on a general network, so as to minimize the total transportation cost between the new facility and the demand points (minisum), and at the same time to minimize the undesirable effects of the new facility by maximizing its distance from the closest population center (maximin). The two objectives employ different distance metrics to reflect reality. Since vehicles move on the transportation network, the shortest path distance is suitable for the minisum objective. For the maximin objective, however, the elliptic distance metric is used to reflect the impact of wind in the distribution of pollution. An efficient algorithm is developed to find the nondominated set of the bi-objective model and is implemented on a numerical example. A simulation experiment is provided to find the average computational complexity of the algorithm.

Suggested Citation

  • Heydari, Ruhollah & Melachrinoudis, Emanuel, 2012. "Location of a semi-obnoxious facility with elliptic maximin and network minisum objectives," European Journal of Operational Research, Elsevier, vol. 223(2), pages 452-460.
  • Handle: RePEc:eee:ejores:v:223:y:2012:i:2:p:452-460
    DOI: 10.1016/j.ejor.2012.06.039
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    References listed on IDEAS

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    1. Skriver, Anders J. V. & Andersen, Kim Allan, 2003. "The bicriterion semi-obnoxious location (BSL) problem solved by an [epsilon]-approximation," European Journal of Operational Research, Elsevier, vol. 146(3), pages 517-528, May.
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    4. Yapicioglu, Haluk & Smith, Alice E. & Dozier, Gerry, 2007. "Solving the semi-desirable facility location problem using bi-objective particle swarm," European Journal of Operational Research, Elsevier, vol. 177(2), pages 733-749, March.
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    9. Horst Hamacher & Martine Labbé & Stefan Nickel & Anders Skriver, 2002. "Multicriteria Semi-Obnoxious Network Location Problems (MSNLP) with Sum and Center Objectives," Annals of Operations Research, Springer, vol. 110(1), pages 33-53, February.
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    Cited by:

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    2. Hammad, Ahmed W A & Akbarnezhad, Ali & Rey, David, 2017. "Sustainable urban facility location: Minimising noise pollution and network congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 107(C), pages 38-59.

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