Fuzzy multiobjective linear-programming-based justification of advanced manufacturing systems

C. Kahraman, Z. Ulukan, E. Tolga
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引用次数: 10

Abstract

Many of the objectives of advanced manufacturing technologies (AMTs) lie in strategic areas such as better quality, flexibility, and shorter lead times. The authors propose fuzzy multiobjective linear programming which considers intangible benefits in AMTs and expands the constraints by adding tolerances. The transition from vagueness to quantification is performed by applying fuzzy set theory. The approach also considers vagueness of the objective functions by using membership functions. The main advantage of fuzzy LP, compared to the unfuzzy problem formulation, is the fact that the decision maker is not forced into a precise formulation because of mathematical reasons. A case example is given in the paper.
基于模糊多目标线性规划的先进制造系统论证
先进制造技术(amt)的许多目标在于战略领域,如更好的质量、灵活性和更短的交货时间。本文提出了考虑无形效益的模糊多目标线性规划,并通过增加公差扩展约束条件。应用模糊集理论实现了从模糊性到定量化的过渡。该方法还利用隶属函数考虑了目标函数的模糊性。与非模糊问题表述相比,模糊LP的主要优势在于,决策者不会因为数学原因而被迫采用精确的表述。文中给出了一个实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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