Document Type : Original Article


1 Professor, Alzahra University.

2 MSc., Bu-Ali Sina University, Hamedan.

3 Ph.D Student, Bu-Ali Sina University, Hamedan.


In this research a multi-objective job shop scheduling problem with an assembly stage and lot streaming is studied. Lot streaming (LS) technique is a process in which a job (lot) is splitted into smaller jobs (sub-lots) such that successive operations can be overlapped. The aim of this study is to schedule and sequence operations in order to meet constraints and minimize the makespan and total weighted earliness and tardiness penalties which, in turn, leads to decrease time and costs and achieve more effective management in industrial departments. First, a mixed integer linear programming model is presented. Since this problem is classified as NP-hard, a metaheuristic algorithm based on Harmony Search is proposed to solve the problem. In order to verify the effectiveness of the proposed algorithm, several performance measures are used. Computational results revealed that the proposed algorithm outperforms non-dominated sorting Genetic algorithm.


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