in Different Levels and Solving by ε-Constraint Approach

Nowadays, due to the huge effects of designing the supply network on the economic interests of organizations, the quality of providing appropriate services and customer satisfaction, the problem of network design is one of the most interesting and attractive issues of research in operations and management science. In this paper, a real-world manufacturing network is designed. The structure of this supply chain is such that the product is stored in the production facilities after production in the manufacturing plants and then transported to the retailers. Ultimately, customers will be able to address their needs by visiting retailers. In order to be real, fuzzy uncertainty is considered in the model parameters, and disruptions such as fire or power failure, etc. in factories and warehouses are considered simultaneously. Also, the problem has a multi-period time horizon and two goals are to minimize cost and maximize the coverage level of customers. To solve it, using CPLEX (GAMS) by ε-Constraint approach.