Narges Saedi - Department of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman, Iran
Mahboubeh Afzali - Department of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman, Iran
Mohammad Mehdi Faghih - Department of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman, Iran

In recent years, integrated supply chains have been considered by managers and researchers. Anintegrated supply chain consists of the cooperation of various departments in each echelon. Sinceintegrated supply chains benefit from the cooperation of several units, the coordination between variousmanufacturers within the supply chain is crucial for achieving efficiency and cost reduction. In additionto assigning processing operations to the appropriate manufacturer to minimize the cost of the integratedsupply chain, the sequence of the processing operations should be taken as the main issue ofcoordination in the integrated supply chains. In this paper, an efficient method based on geneticalgorithms is presented to minimize the cost of an integrated supply chain by addressing coordinationand manufacturer allocation. Also, the fuzzy logic technique is employed to address uncertainty in theinput variables.

integrated supply chain, optimization, cost, coordination, GA.