Production line balancing problem (PLBP) is one of the most important stages in automobile\r\nmanufacturing. It is a critical problem in continuous Production Line (PL), and it is one of the difficult\r\noptimization problems. PLBP includes many stations concerned with the allocation of tasks to work,\r\nwhere each station contains a number of operations that cooperate to achieve the task work. The main\r\nPLBP are: queuing, idling time among stations during the task achievement, and unregulated number of\r\nworkers among a station, which is an obstacle to efficient PL. In this paper, the technical constraint was\r\ncarried out to minimize the queuing problem and regulate the workers by applying hybrid models; Multi-\r\nObjectives Model (MOM) and Genetic Algorithm (GA). The outcome of the Mixed Models (MM) assists to\r\nreduce the queuing and the idling time through harmonizing the tasks in each workstation. In addition\r\nto balance the distribution of the new workers in order to get the optimal solutions, as well as\r\nimproving the ability of PL with the high production rate.
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