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An artificial bee colony algorithm for a two-stage hybrid flowshop scheduling problem with multilevel product structures and requirement operations

机译:具有多级产品结构和需求操作的两阶段混合Flowshop调度问题的人工蜂群算法

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摘要

Real world final products have almost multilevel structures, where different items are assembled together according to predefined bill of materials. Also, each item must experience a set of processes before assembly according to a given precedence relation between the processes. This paper considers a hybrid flowshop with two stages for processing on items and assembling final products. The first stage is dedicated to processing on items and consists of some non-identical parallel machines. After finishing processing on the items on the first stage, assembly of items into final products starts at the second stage. The production manager desires to minimise the maximum completion time (i.e. makespan). Then, the problem is modelled as an integer linear program and is solved by Lingo. As the problem is NP-hard, an artificial bee colony algorithm along with a genetic algorithm is developed to obtain near-optimal solutions in reasonable run-times. Further, efficiency of the solution methods is examined on different problem instances.
机译:现实世界中的最终产品几乎具有多层结构,其中不同的项目根据预定义的物料清单组装在一起。而且,每个项目在组装之前必须根据过程之间的给定优先级关系经历一组过程。本文考虑了一个混合流程车间,该流程车间具有两个阶段,分别用于处理项目和组装最终产品。第一阶段专用于项目处理,由一些不同的并行机组成。在第一阶段完成对物品的处理后,在第二阶段开始将物品组装成最终产品。生产经理希望最大程度地减少最大完成时间(例如,制造时间)。然后,将该问题建模为整数线性程序,并由Lingo解决。由于问题很棘手,因此开发了一种人工蜂群算法和一种遗传算法,以在合理的运行时间内获得接近最优的解决方案。此外,在不同的问题实例上检查了解决方法的效率。

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