Optimization in science and engineering
Saeid Rezaie moghadam; Aslan Doosti
Abstract
Purpose: The present study concludes that by designing and presenting a mathematical model of multi-objective cogeneration production planning, multi-stage products for several periods in the reverse supply chain under uncertainty conditions were presented using a genetic meta-heuristic algorithm.Methodology: ...
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Purpose: The present study concludes that by designing and presenting a mathematical model of multi-objective cogeneration production planning, multi-stage products for several periods in the reverse supply chain under uncertainty conditions were presented using a genetic meta-heuristic algorithm.Methodology: The first objective function of the model is to minimize costs, the second objective function is to maximize the quality of products in the supply chain, and the third and fourth objective functions are to minimize the total weight of the maximum shortage among customers and to maximize the total weight of the minimum supply. Goods from suppliers. In this model, the first and second objective functions are designed in the case of uncertainty- possible fuzzy stability by Malvey method based on scenario writing.Findings: The results of solving the proposed applied mathematical model developed by coding in MATLAB software were approved by the officials of Borujen Strong Stream Concrete Company, which are given in Tables (16) and (17).Originality/Value: What is important in designing this model, which is formulated in a non-linear programming and has not been observed in similar studies, is the existence of a reconstruction center and a maintenance center and considering target functions for customer and supplier satisfaction and also paying attention to product quality. Suppliers and the product produced by the manufacturer.