TY  - JOUR
IS  - 2
N2  - 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.
ID  - scholars2237
KW  - 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
KW  -  Multiobjective optimization; Transportation
KW  -  Membership functions
JF  - Applied Soft Computing Journal
A1  - Peidro, D.
A1  - Vasant, P.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-78751630393&doi=10.1016%2fj.asoc.2010.10.014&partnerID=40&md5=6fd1ce9acca60ad077db70879e567e53
VL  - 11
Y1  - 2011///
N1  - cited By 98
TI  - Transportation planning with modified S-curve membership functions using an interactive fuzzy multi-objective approach
SP  - 2656
AV  - none
EP  - 2663
SN  - 15684946
ER  -