Assembly System Configuration Design for Reconfigurability Under Uncertain Production Evolution

Assembly System Configuration Design for Reconfigurability Under Uncertain Production Evolution
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DOI:
10.1115/1.4043581
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发表时间:
2019-07
期刊:
Journal of Manufacturing Science and Engineering
影响因子:
--
通讯作者:
Zhengqian Jiang;Hui Wang;M. Dulebenets;J. Pasha
Zhengqian Jiang;Hui Wang;M. Dulebenets;J. Pasha
中科院分区:
其他
文献类型:
--
作者:
Zhengqian Jiang;Hui Wang;M. Dulebenets;J. Pasha

文献摘要

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装配系统配置决定了工位的拓扑排列,并定义了工位之间的逻辑物料流。装配系统配置的设计涉及 (1) 定义子装配任务和任务间物料流的子装配规划,以及 (2) 确定任务站分配的工作负载平衡。装配系统配置应灵活改变和更新,以应对产品设计的演变和更新。然而,未来产品演变的不确定性对装配系统配置设计提出了重大挑战,因为如果适合未来产品的装配线与当前产品的装配线有很大不同,则可能会产生更高的成本。主要挑战包括(1)重新配置成本的估计,(2)产品演进的可能场景的概率值不可用,以及(3)考虑组件规划对任务站分配的影响。为了应对这些挑战,本文提出了一个并发优化问题,通过考虑不确定的产品演化共同确定子装配规划和任务站分配来设计装配系统配置。提出了一种新的装配层次相似性模型,通过比较当前和潜在的未来产品设计的不同子装配计划之间的共性来估计重新配置工作。通过在最坏情况下最大化装配层次相似性和装配系统吞吐量来选择装配系统配置。由现实场景驱动的案例研究证明了所提出的方法(包括场景分析)的适用性。
Assembly system configuration determines the topological arrangement of stations with defined logical material flow among them. The design of assembly system configuration involves (1) subassembly planning that defines subassembly tasks and between-task material flows and (2) workload balancing that determines the task-station assignments. The assembly system configuration should be flexibly changed and updated to cope with product design evolution and updating. However, the uncertainty in future product evolution poses significant challenges to the assembly system configuration design since the higher cost can be incurred if the assembly line suitable for future products is very different from that for the current products. The major challenges include (1) the estimation of reconfiguration cost, (2) unavailability of probability values for possible scenarios of product evolution, and (3) consideration of the impact of the subassembly planning on the task-station assignments. To address these challenges, this paper formulates a concurrent optimization problem to design the assembly system configuration by jointly determining the subassembly planning and task-station assignments considering uncertain product evolution. A new assembly hierarchy similarity model is proposed to estimate the reconfiguration effort by comparing the commonalities among different subassembly plans of current and potential future product designs. The assembly system configuration is chosen by maximizing both assembly hierarchy similarity and assembly system throughput under the worst-case scenario. A case study motivated by real-world scenarios demonstrates the applicability of the proposed method including scenario analysis.