Rough set based optimization method of machine tools in cloud manufacturing
作者机构：State Key Laboratory of Mechanical Transmission Chongqing University174 ShazhengjieShapingba 400044ChongqingP.R.China School of Economics and Business Administration Chongqing University 174 ShazhengjieShapingba400044ChongqingP.R.China
出 版 物：《International Journal of Modeling, Simulation, and Scientific Computing》 (建模、仿真和科学计算国际期刊（英文）)
年 卷 期：2018年第9卷第1期
页 面：35-45页
核心收录：
学科分类：08[工学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported by the National High-Tech R&D Program of China(No.2015AA042102) the Science and Technology Program of Guangdong Province(No.2015A010103022) Post-Doctoral Funding Project of Chongqing(No.Xm2016008).
主 题：Cloud manufacturing machine tool resource constraint optimization
摘 要：Cloud Manufacturing(CMfg),combining with the technologies of Cloud computing and Internet of Things,is an intelligent networked manufacturing model,which can quickly integrate various distributed manufacturing resources for collaboratively completing the complex and customized manufacturing tasks.One of the key technologies supporting this model is the optimal manufacturing resources in the CMfg systems,typically machine tools(MTs).In this paper,the attributes of MTs in cloud environment are analyzed,the constraint relationship between the attributes and the optimization criteria of MTs is established,and an optimization method of MTs based on rough set is proposed.Finally,a case study is discussed to validate the feasibility and effectiveness of the proposed method.
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