FUZZY CHANCE CONSTRAINED PROGRAMMING FOR WAREHOUSE LOCATION PROBLEM WITH IMPRECISE CUSTOMER DEMAND


Kayi C. B. , Bozdağ C. E.

10th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), İstanbul, Türkiye, 26 - 29 Ağustos 2012, cilt.7, ss.1311-1316 identifier identifier

  • Cilt numarası: 7
  • Doi Numarası: 10.1142/9789814417747_0211
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1311-1316

Özet

In this paper we applied fuzzy chance constrained programming with uncertain parameters to warehouse location problem. The problem studied in the paper has uncertain demand which necessitates the utilization of fuzzy numbers for representing the related demands. Fuzzy values being embedded in the objective function, in turn compels the implementation of credibility measure in the proposed model. The model is a hybrid intelligent algorithm integrating fuzzy simulation and genetic algorithm. Lastly, a numerical example is illustrated in order to demonstrate the validity of the algorithm.