Disruptions happen in the actual manufacturing system under environment of the Internet of Things and they make the system difficult to manage. However, the convenient access to information of orders, equipment and participants make disruption recovery easier. In this paper we build a disruption recovery scheduling integer programming model considering the objective of minimizing total weighted completion-time (as the original objective) and the objectives of maximizing total consumer satisfaction degree & minimizing total deviation degree (as the revising objective). A PVPS (PSO & VNS Parallel Search) algorithm is proposed. The experiments results prove all above are effective.
- Manufacturing Engineering Division
Disruption Recovery Model for Complex Flow Shop Scheduling With Considering Behavior Under Environment of the Internet of Things
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Hong-guang, B, Huan-zhi, L, Hui-lin, Z, Yi, G, & Wei, M. "Disruption Recovery Model for Complex Flow Shop Scheduling With Considering Behavior Under Environment of the Internet of Things." Proceedings of the ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. Volume 3: Manufacturing Equipment and Systems. Los Angeles, California, USA. June 4–8, 2017. V003T04A037. ASME. https://doi.org/10.1115/MSEC2017-2827
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