Transportation planning with modified S-curve membership functions using an interactive fuzzy multi-objective approach

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 propo...

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Veröffentlicht in:Applied soft computing Jg. 11; H. 2; S. 2656 - 2663
Hauptverfasser: Peidro, David, Vasant, Pandian
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.03.2011
Schlagworte:
Fuzzy multi-objective programming
S-curve membership function
Transportation planning
S-curve membership function
Transportation planning
Fuzzy multi-objective programming
ISSN:1568-4946, 1872-9681
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Zusammenfassung: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.
ISSN:1568-4946
1872-9681
DOI:10.1016/j.asoc.2010.10.014