An efficient coordination method in the integrated supply chain by considering Cost optimization

In the recent years, integrated supply chains have been considered by managers and researchers. An integrated supply chain consists of the cooperation of various departments in each echelons. Since integrated supply chains benefit from the cooperation of several units, the coordination between various manufacturers within the supply chain is crucial for achieving efficiency and cost reduction. In addition to assigning processing operations to the appropriate manufacturer with the aim of minimizing the cost of integrated supply chain, the sequence of the processing operations should be taken as the main issues of coordination in the integrated supply chains. In this paper, an efficient method based on genetic algorithms is presented to minimize the cost of an integrated supply chain by addressing coordination and manufacturer allocation. Also, the fuzzy logic technique is employed to address uncertainty in the input variables.