SOLVING SOLID TRANSPORTATION PROBLEMS UNDER UNCERTAIN ENVIRONMENT USING GOAL PROGRAMMING


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Güzel N., Alp S., Geçici E.

Endüstri Mühendisliği, vol.33, no.1, pp.130-144, 2022 (Peer-Reviewed Journal)

  • Publication Type: Article / Article
  • Volume: 33 Issue: 1
  • Publication Date: 2022
  • Journal Name: Endüstri Mühendisliği
  • Journal Indexes: EBSCO Legal Source, TR DİZİN (ULAKBİM), Index Copernicus, Sobiad Atıf Dizini
  • Page Numbers: pp.130-144

Abstract

A transportation problem can be involving multiple objectives, multiple products, and multiple conveyances. These kinds of transportation problems are named multi-objective multi-attributes solid transportation problems (MMSTP). In this study, a solution based on goal programming has been proposed for MMSTP, in which the supply and demand are uncertain. Moreover, to handle uncertainty, different uncertainty parameters, which are between 0.6 and 0.9, have been used. Then, the results with obtained these parameters are compared by using cost function values. The results indicate that when the uncertainty parameter decreases, the cost increases. Finally, it is shown that an optimal solution can be found using this model through an example.