This paper presents a multi-objective model for the closed-loop supply chain network design (CLSCND) with a price-dependent demand while considering random disruptions and shortage. This network consists of suppliers, production centers, collection/inspection centers, disposal centers, and market zones. In this model, a demand function is assumed to be a function of price offered to the customer by two different linear and exponential forms. Different resilience strategies including lateral transshipment among production centers and multi-source allocation are applied to model the resilient supply chain network design problem. Moreover, the importance of time for costumers is led to consider different transportation methods for fulfilling the customers’ demand. Then, three different objective functions were incorporated when shortage is allowed and the unfulfilled demand will be back ordered. Then, a compromise programming method is used to convert the multi-objective model to a single-objective equivalent form. Furthermore, the application of the model is examined in a real industrial case involved in the production and distribution of glass. Finally, and the numerical results arrive at helpful managerial insights.
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