Extension of an algorithm for product mix problems with fuzzy conditions |
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| Authors: | Mojtaba Kaveh Vahid Majazi Dalfard Golnaz Karami |
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| Institution: | 1. Departments of Business Administration, Firoozabad Branch, Islamic Azad University, Firoozabad, Iran;2. Young Researchers and Elites Club, Kerman Branch, Islamic Azad University, Kerman, Iran;3. Department of Industrial Engineering, South Branch, Islamic Azad University, Tehran, Iran |
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| Abstract: | In the real world of production, there are some uncertain parameters such as capacity, profit, and processing time. On the other hand, the fuzzy sets theory is applied as a suitable tool for managing production where dynamicity of the production environment prevents from determining target function, constraints and other parameters of the model. In this paper, a genetic algorithm embedded in fuzzy revised theory of constraints is presented for product mix problems. Results of implementing the proposed algorithm show efficiency and flexibility of this algorithm. |
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| Keywords: | Revised theory of constraints Product mix Genetic algorithm Fuzzy conditions |
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