Multi-objective aggregate production planning with fuzzy parameters |
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| Affiliation: | 1. Infrastructure and Environmental Systems, The University of North Carolina at Charlotte, Charlotte, NC, USA;2. Department of Systems Engineering & Engineering Management, The University of North Carolina at Charlotte, Charlotte, NC, USA;1. Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran;2. Department of Industrial Engineering, K. N. Toosi University, Tehran, Iran |
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| Abstract: | In this paper, a direct solution method that is based on ranking methods of fuzzy numbers and tabu search is proposed to solve fuzzy multi-objective aggregate production planning problem. The parameters of the problem are defined as triangular fuzzy numbers. During problem solution four different fuzzy ranking methods are employed/tested. One of the primary objectives of this study is to show that how a multi-objective aggregate production planning problem which is stated as a fuzzy mathematical programming model can also be solved directly (without needing a transformation process) by employing fuzzy ranking methods and a metaheuristic algorithm. The results show that this can be easily achieved. |
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