Issue: 2022/Vol.32/No.3, Pages 1-15
NEUTROSOPHIC COMPROMISE PROGRAMMING APPROACH FOR MULTIOBJECTIVE NONLINEAR TRANSPORTATION PROBLEM WITH SUPPLY AND DEMAND FOLLOWING THE EXPONENTIAL DISTRIBUTION
Cite as: A. Y. Adhami, M. Faizan, A. M. Neutrosophic compromise programming approach for multiobjective nonlinear transportation problem with supply and demand following the exponential distribution. Operations Research and Decisions 2022: 32(3), 1-15. DOI 10.37190/ord220301
Decision-making is a tedious and complex process. In the present competitive scenario, any incorrect decision may excessively harm an organization. Therefore, the parameters involved in the decision-making process should be looked into carefully as they may not always be of a deterministic nature. In the present study, a multiobjective nonlinear transportation problem is formulated, wherein the parameters involved in the objective functions are assumed to be fuzzy and both supply and demand are stochastic. Supply and demand are assumed to follow the exponential distribution. After converting the problem into an equivalent deterministic form, the multiobjective problem is solved using a neutrosophic compromise programming approach. A comparative study indicates that the proposed approach provides the best compromise solution, which is significantly better than the one obtained using the fuzzy programming approach.
Keywords: fuzzy approach, multiobjective optimization, supply chain, transportation, uncertainty
Received: 13 January 2022 Accepted: 22 July 2022
Published online: 22 November 2022