基于状态熵模型的单元制造系统复杂性研究  

Study on Complexity of Cellular Manufacturing Based on State Entropy Models

作　　者：张志峰[1] 谢奉军[1] 肖人彬[2] 

机构地区：[1]南昌航空大学,南昌330063 [2]华中科技大学,武汉430074

出　　处：《中国机械工程》2009年第19期2332-2336,共5页China Mechanical Engineering

基　　金：国家自然科学基金资助项目(60474077)

摘　　要：研究了制造系统的复杂性与效用的相互关系,提出效用随复杂性变化的函数关系并绘制出效用随复杂性变化的曲线。依据制造系统复杂性对效用的影响,分析复杂性在制造系统中的发展趋势,即制造系统的复杂度在反复调整中呈现不断增大的趋势。根据信息熵原理,分别建立单元制造系统的静态熵模型、动态熵模型,作为度量单元制造系统的复杂性的工具,并对制造系统的状态认定进行了说明。实例求解验证了单元制造系统状态熵模型度量系统复杂性的有效性与实用性。A utility fuction for complexity was proposed and its curve was drawn according to the mutual relationship between the complexity and utility in a manufacturing system.The trend that the system become more and more complex was analysed based on the influence of complexity on utility.From the information-theoretical point of view,the models of the static entropy and the dynamic entropy of cellular manufacturing systems were developed and the cognizance of the states of manufacturing resources was also illustrated.Finally,an example was used to demonstrate the validity of the proposed methodology.

关 键 词：单元制造 复杂性 状态熵 效用 

分 类 号：F279.21[经济管理—企业管理]