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Job release under due date constraints in job shops with time-varying product mix

机译:具有时变产品组合的作业车间在到期日约束下发布作业

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Job shops produce products on the basis of manufacturing orders which specify the due date and the volume. The orders accepted by the shop floor are put into a job pool. The job release decides when to start each job in the pool. It attempts not only to balance this time-varying demand against available capacity, but also manages to meet the due date constraints. The general job release policies, such as output-based or workload-based policies, have poor due date performance. A multi-time-periods release policy is proposed to match the time-varying demand. The due date pressure is distributed to every period. In each time period a near optimal short-term throughput of each product is obtained by an optimization model. The optimization problem is solved by an improved ant colony algorithm. In iteration processes of the algorithm ants are evaluated by the simulation which involves the setup and breakdown of machines.
机译:车间根据制造订单生产产品,该制造订单指定了到期日期和数量。车间接受的订单被放入工作池。作业版本决定何时启动池中的每个作业。它不仅试图在时变需求与可用容量之间取得平衡,而且设法满足到期日约束。常规的作业发布策略(例如基于输出或基于工作负载的策略)的截止日期性能较差。为了满足时变需求,提出了一种多时限释放策略。到期日压力分配到每个期间。在每个时间段内,通过优化模型可以获得每种产品的近乎最佳的短期生产量。通过改进的蚁群算法解决了优化问题。在算法的迭代过程中,通过仿真来评估蚂蚁,这涉及机器的设置和故障。

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