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   Data mining based multi-level aggregate service planning for cloud manufacturing  
   
نویسنده Yu Chunyang ,Zhang Wei ,Xu Xun ,Ji Yangjian ,Yu Shiqiang
منبع journal of intelligent manufacturing - 2018 - دوره : 29 - شماره : 6 - صفحه:1351 -1361
چکیده    Cloud manufacturing (cmfg) promotes a dynamic distributed manufacturing environment by connecting the service providers and manages them in a centralized way. due to the distinct production capabilities, the service providers tend to be delegated services of different granularities. meanwhile, users of different types be after services of different granularities. a traditional aggregate production planning method is often incapable of dealing with type of problems. for this reason, a multi-level aggregate service planning (masp) methodology is proposed. the masp service hierarchy is presented, which integrates the services of different granularities into a layered structure. based on this structure, one of data mining technologies named time series is introduced to provide dynamic forecast for each layer. in this way, masp can not only deal with the services of multi-granularity, but also meet the requirements of all related service providers irrespective of their manufacturing capabilities. a case study has been carried out, showing how masp can be applied in a cmfg environment. the results of the prediction are considered reliable as the order of magnitude of the production for each service layer is much greater than that of the corresponding mean forecast error.
کلیدواژه Cloud manufacturing ,Production planning ,Service planning ,Service encapsulation ,Data mining ,Time series
آدرس Zhejiang University, Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, China. University of Auckland, Department of Mechanical Engineering, New Zealand, University of Auckland, Department of Statistics, New Zealand, University of Auckland, Department of Mechanical Engineering, New Zealand, Zhejiang University, Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, China, University of Auckland, Department of Mechanical Engineering, New Zealand
 
     
   
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