Multi-objective Transportation Problem with Cost Reliability Under Uncertain Environment

• Main Authors: Gurupada Maity, Sankar Kumar Roy, José Luis Verdegay
• Format: Article
• Language: English
• Published: Atlantis Press 2016-09-01
• Series: International Journal of Computational Intelligence Systems
• Subjects: Transportation problem; Multi-objective decision making; Reliability; Uncertain programming; Fuzzy multi-choice goal programming
• Online Access: https://www.atlantis-press.com/article/25868732/view

This paper analyzes the study of a Multi-Objective Transportation Problem (MOTP) under uncertain environment. Assuming the uncertainty in real-life decision making problems, the concept of reliability is incorporated in the transportation cost and the effectiveness is justified through the proposed MOTP. Again, considering the real phenomenon in the MOTP, we consider the transportation parameters, like as supply and demand as uncertain variables. Also, we consider the fuzzy multi-choice goals to the objective functions of the MOTP; and Fuzzy Multi-Choice Goal Programming (FMCGP) is used to select the proper goals to the objective functions of the proposed MOTP. Here, the proposed study is not only confined to obtain the compromise solution but also to fix up the proper goals to the objective functions of the MOTP. A numerical example is presented to illustrate and justify the proposed study. Finally, the paper ends with the conclusion and future study.