Fuzzy programming for multi-choice bilevel transportation problem

Ritu Arora () and Kavita Gupta ()

Operations Research and Decisions, 2021, vol. 31, issue 3, 5-21

Abstract: Multi-choice programming problems arise due to the diverse needs of people. In this paper, multichoice optimization has been applied to the bilevel transportation problem. This problem deals with transportation at both the levels, upper as well as lower. There are multiple choices for demand and supply parameters. The multi-choice parameters at the respective levels are converted into polynomials which transmute the defined problem into a mixed integer programming problem. The objective of the paper is to determine a solution methodology for the transformed problem. The significance of the formulated model is exhibited through an example by applying it to the hotel industry. The fuzzy programming approach is employed to obtain a satisfactory solution for the decision-makers at the two levels. A comparative analysis is presented in the paper by solving the bilevel multi-choice transportation problem with goal programming mode as well as by the linear transformation technique. The example is solved using computing software.

Keywords: bilevel programming; transportation problem; fuzzy programming; goal programming; tolerance; limits; satisfactory solution (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:wut:journl:v:31:y:2021:i:3:p:5-21:id:1600

DOI: 10.37190/ord210301

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