%K Budget constraint; Compromise solutions; Delivery time; Fuzzy approach; Fuzzy data; Fuzzy goal; Interactive methods; Multi objective; Multiobjective programming; S-curve; Transportation cost; Transportation planning; Warehouse space, Multiobjective optimization; Transportation, Membership functions
%X In this paper, we consider the transportation planning decision (TPD) problem with fuzzy goals, available supply and forecast demand. An interactive method is designed for solving the multi-objective TPD problem where the fuzzy data are represented by modified S-curve membership functions. The proposed method attempts to simultaneously minimize the total production and transportation costs and the total delivery time with reference to budget constraints and available supply, machine capacities at each source, as well as forecast demand and warehouse space constraints at each destination. An interactive fuzzy approach is applied to solve the multi-objective TPD problem and to find a preferred compromise solution. Finally, the performance of S-curve membership functions that represent uncertainty goals and constraints in TPD problems with linear membership functions in an industrial case is compared. © 2010 Elsevier B.V. All rights reserved.
%D 2011
%R 10.1016/j.asoc.2010.10.014
%N 2
%O cited By 98
%L scholars2237
%J Applied Soft Computing Journal
%T Transportation planning with modified S-curve membership functions using an interactive fuzzy multi-objective approach
%V 11
%A D. Peidro
%A P. Vasant
%P 2656-2663