Multi-choice programming problems arise due to diverse needs of people. In this paper, multi-choice optimisation is applied bilevel transportation problem. This problem deals with at both the levels, upper as well lower. There are multiple choices for demand and supply parameters. The parameters respective levels converted into polynomials which transmute defined a mixed integer objective paper...

Selecting an appropriate transportation company is an important decision for an effective supply chain. This study attempts to solve transportation company selection problems initially addressed by Kulak and Kahraman in 2005, by adopting two methods. Consistent fuzzy preference relations presented by Herrera-Viedma et al. and fuzzy linguistic preference relations (fuzzy LinPreRa) developed by W...

Given a directed network, the uncapacitated fixed-charge network flow problem is to find a minimum-cost arc combination that provides flows from the supply nodes to the demand nodes. Associated with all arcs are two costs: the fixed charge of using the arc and the variable cost depending on the amount of flow the arc actually carries. This generic model has applications for problems of distribu...

In this study, the pricing problem of a transportation service provider company is considered. Our goal is to find optimal prices by using probabilistic dynamic programming. A fuzzy IF-THEN-rule based system is used to identify the demand levels under different prices and other characteristics of the journey. The results obtained by optimal price policies show that the revenue increases by appl...

This paper deals with a solution procedure for solving linear fuzzy fractional transportation problem (LFFTP) which is a special type of linear fuzzy fractional programming problem (LFFPP). Fuzzy version of improved Vogel’s approximation method and Fuzzy version of Modi method are used to obtain the fuzzy optimal solution to the given LFFTP by without reformulating the original problem into an ...

This paper presents two variants of genetic algorithm for solving the Supply Management Problem, which can be viewed as a generalization of the Fixed Charge Transportation Problem. The first variant uses the usual binary representation of solutions. The second one is based on the permutation representation and the greedy decoder. Computational results indicate good performance of the second app...

Transportation models play an important role in logistics and supply chain management for reducing cost and improving service. This paper develops a procedure to derive the fuzzy objective value of the fuzzy transportation problem, in that the cost coefficients and the supply and demand quantities are fuzzy numbers. The idea is based on the extension principle. A pair of mathematical programs i...