Solving a new mathematical fuzzy multi-objective for supply chain of based on fuzzy necessity measure.
The Supply Chain is considered a necessity for the success of organizations seeking the most economic, environmental and social impacts. In addition, the implementation and suitable execution of this supply chain seems to be necessary. Considering the importance of the social impacts of this supply chain, a fuzzy multi-objective mathematical model is provided such that, in addition to considering the environmental and economic impacts, social impacts are also considered. In order to approximate the provided model to real-world conditions, some parameters are considered under conditions of uncertainty and in the form of triangular fuzzy numbers. A two-step method is provided to solve the proposed model. In the first step, the model converges to a determinate multi- objective problem using the necessity measure and in the second step the model is solved using the cumulative function method .Finally, to show the applicability of the proposed method, a real industrial case study is provided.
Unlike commonly used methods, in this paper, we have introduced a new approach for designing fuzzy controllers. In this approach, we have simultaneously optimized both objective functions of a supply chain over a two-dimensional space. Then, we have obtained a spectrum of optimized points, each of which represents a set of optimal parameters which can be chosen by the manager ...متن کامل
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دوره 5 شماره 18
صفحات 105- 118
تاریخ انتشار 2019-05-01
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