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HUSTIR > College of Engineering > Department of Industrial Engineering and Management/Graduate Institute of Lean Production Management > Journal > Item 310993100/296

Please use this identifier to cite or link to this item: http://ir.hust.edu.tw/dspace/handle/310993100/296

Title:	Using possibilistic linear programming for fuzzy transportation planning decisions
Authors:	Tien-Fu Liang Cheng-Shing Chiu Hung-Wen Cheng
Contributors:	Department of Industrial Engineering and Management
Keywords:	possibilistic linear programming fuzzy transportation planning decisions fuzzy set theory
Date:	2005-09
Issue Date:	2008-08-22T11:12:08Z
Abstract:	In real-world transportation planning decision (TPD) problems, input data or related parameters are often imprecise/fuzzy owing to incomplete or unobtainable information. This study develops a novel possibilistic linear programming (PLP) approach for solving TPD problems with imprecise goal and constraints. The proposed approach attempts to minimize the total transportation costs with reference to imprecise cost oefficients, available supply and forecast demand. An industrial case is used to demonstrate the feasibility of applying the proposed approach to real TPD problems. Consequently, the proposed approach yields an efficient compromise solution and overall degree of decision maker satisfaction with the determined goal values. Particularly, several significant findings and features of the proposed approach that distinguish it from the ordinary linear programming and other fuzzy TPD models are presented. Overall, the proposed PLP approach is practically applicable for solving TPD problems in uncertain environments, and can generate better decisions than other models.
Relation:	修平學報 11, 93-112
Appears in Collections:	[Department of Industrial Engineering and Management/Graduate Institute of Lean Production Management] Journal

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