Abstract
Facility location is one of the most important strategic decisions in designing a supply chain network. However, given the interaction of strategic decisions on tactical and operational decisions, it seems necessary to provide models that integrate these decisions. In this study, a mixed-integer non-linear programming model is developed to determine the optimal pricing of products in different sales and distribution channels while integrating location-allocation decisions and inventory control of distribution centers in an uncertain environment. In order to provide a more realistic model, it is assumed that there is a correlation between demands for products, which poses a critical challenge for modeling and pricing. A Memetic algorithm is used to solve the mixed-integer nonlinear programming model. The implementation results of the designed sample problems show the good performance of the proposed algorithm.
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