期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 55, 期 15, 页码 4392-4410出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2016.1254356
关键词
system architecture; reconfigurable manufacturing systems; maintainability; reliability engineering; stochastic models
The rapid development of big data technologies can improve the maintainability of machines and equipment in manufacturing systems, which could impact the selection of the optimal system architecture. In this paper, two typical architectures for large manufacturing systems - serial lines in parallel and reconfigurable manufacturing systems - are considered, and their productivities are compared. A decision locus is calculated that divides the configuration space into two areas; in each area, one of the architectures is the preferred one. It is also investigated how the locus is affected by different parameters, such as system size, buffer capacity and machine or gantry maintainability. The analysis provides valuable managerial insights for designing the architecture of large manufacturing systems.
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