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Fuzzy facility location problem with point and rectangular destinations

Author

Listed:
  • Nemat Allah Taghi-Nezhad
  • Sadjad Moradi
  • Gholamreza Karamali

Abstract

Facility location problem with point and area destinations is a special kinds of location problems in which, some demand centres considered as areas. Based on our knowledge, this issue has not been addressed in fuzzy literature and we have tried to investigate this issue in fuzzy environment. For this purpose, all customer demands are considered as fuzzy numbers, and the distances between points and destinations are calculated by L1 norm. To solve this fuzzy problem, three fuzzy theorems are proved which show that the objective function is separable, convex and piecewise continuous. Then, by using these fuzzy theorems, two fuzzy algorithms named fuzzy critical point algorithm and fuzzy weighting average algorithm are presented to obtain the best place for locating the facility centre. These two algorithms are based on piecewise differentiability of objective function and weighted average property, respectively. Finally, the applicability of our two presented algorithms is demonstrated by solving some numerical examples.

Suggested Citation

  • Nemat Allah Taghi-Nezhad & Sadjad Moradi & Gholamreza Karamali, 2021. "Fuzzy facility location problem with point and rectangular destinations," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 18(1), pages 21-44.
    • Handle: RePEc:ids:ijmore:v:18:y:2021:i:1:p:21-44
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