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DISRUPTION RECOVERY MODEL FOR COMPLEX FLOW SHOP SCHEDULING WITH CONSIDERING BEHAVIOR UNDER ENVIRONMENT OF THE INTERNET OF THINGS

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Indexed by:会议论文

Date of Publication:2017-06-04

Included Journals:EI、CPCI-S

Volume:3

Abstract: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.

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