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题名: Using possibilistic linear programming for fuzzy transportation planning decisions
作者: Tien-Fu Liang
Cheng-Shing Chiu
Hung-Wen Cheng
贡献者: Department of Industrial Engineering and Management
关键词: possibilistic linear programming
fuzzy transportation planning decisions
fuzzy set theory
日期: 2005-09
上传时间: 2008-08-22T11:12:08Z
摘要: 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.
關聯: 修平學報 11, 93-112
显示于类别:[工業工程與管理系(含精實生產管理碩士班)] 期刊論文

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