عنوان مقاله [English]
Rescheduling is considered as a part of decision making process in supply chain of many manufacturing industries and it plays a significant role in fulfillment of consumers’ needs. Hereupon, this article addresses the issue of rescheduling in a three-stage supply chain with a focus on integration of the stages. The first stage includes suppliers, the second stage includes fleet of good transportation and the third stage includes manufacturers of final products. Therefore, the mixed integer model has been used for the mentioned problem with the aim of minimizing the total tardiness time of the orders. In the general case, a genetic algorithm has been provided for problem solving which has chromosomes with variable structures. Comparison between the results of the proposed algorithm with Random Search on a wide range of random problems and optimum solution on the small size problems shows the good performance of the proposed algorithm. Moreover, by relaxing of the some attributes of the problem, the proposed algorithm was compared with two existing heuristic algorithms in the literature. Results show the better performance of the suggested algorithm.
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