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Real Time Manufacturing Intelligence Method Oriented Multilevel Resource Collaboration in Cyber Physical System Environment |
Ren Lei,Ren Minglun |
Management School, Hefei University of Technology,Anhui 230009,China |
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Abstract Cyber-physical system(CPS) applied in the manufacturing process,can connect different levels of the enterprises' manufacturing resources,and achieve high efficient process monitoring.A flexible manufacturing system based on dynamic service alliance is built by integrating multiple granularity resources.Many problems appear in the operation stage,such as task allocation,real time decision.Hence,it is urgent to study real time manufacturing intelligence method to improve the performance of service alliance.According to the service capacity and collaboration relations,a dynamic collaborative task allocation model is firstly proposed.Considering the task correlations,time,physical location and related influencing factors,we construct a collaborative task rhythm control model based on Petri-net and MDM to enhance collaborative productivity.Moreover,a multilevel real time decision making system,describing the decision model of local agent and collaboration decision in the same enterprise or across different enterprises,is presented to adapt the state change of task,object,human and environment.The generalized framework and illustration of manufacturing intelligence in real time manufacturing system is given here,future challenges in the field should be widely discussed and further researched.
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Received: 05 January 2017
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Corresponding Authors:
Ren Lei
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