期刊文献+

基于状态熵的制造系统结构复杂性建模与评价 被引量:17

Structural Complexity Modeling and Evaluation of Manufacturing Systems Based on State Entropy
下载PDF
导出
摘要 针对现有结构复杂性建模方法存在的不足,在考虑中间缓冲区状态对制造系统状态影响的基础上,提出一种基于通用发生函数法和信息熵理论的非串行制造系统结构复杂性建模与评价方法,从系统角度对制造系统的复杂性进行测度。通过建立中间缓冲区的状态转移方程,定义缓冲区的状态,分析中间缓冲区状态对非串行制造系统各工位加工设备状态的影响,将原制造系统转化为等效系统;利用通用发生函数法描述各等效加工设备的性能及其发生概率,并将制造系统分解成若干并联和串联子系统,引入并联和串联复合算子求解整个系统的发生函数,得到系统的状态空间及其对应的概率空间;从系统角度出发,利用信息论中的信息熵模型建立非串行制造系统的结构复杂性模型。以某车间的非串行缸盖柔性加工线为例,验证该模型与评价方法的有效性。 The structural complexity modeling and evaluation method of non-serial manufacturing systems is brought out on the basis of considering the influences of the buffers' states on the overall manufacturing systems to systematically measure the complexity of the manufacturing systems,aiming at the deficiency of the present structural complexity modeling method.The buffers' states is defined through creating state transition equations of the buffers so as to analyze the influences of the buffers' states on the machines in different work stations of non-serial manufacturing system,which in turn turns the original manufacturing systems into equivalent systems.The universal generating function is used to describe the performance and probability,and the manufacturing systems are divided into some parallel and serial sub-systems,followed by the solution of the systems' generating functions with the parallel and serial composition operators introduced.The complexity model of non-serial manufacturing systems is established based on the entropy model of information theory from the angle of system.A non-serial machining line with four stages for cylinder heads is taken as an example to verify the effectiveness of the model and the validity of the evaluation method.
出处 《机械工程学报》 EI CAS CSCD 北大核心 2012年第5期92-100,共9页 Journal of Mechanical Engineering
基金 国家自然科学基金(50975209 51005169) 国家科技重大专项(2011ZX04015-022) 上海市科委国际合作(10110705200)资助项目
关键词 制造系统 结构复杂性 通用发生函数 信息熵 Manufacturing systems Structural complexity Universal generating function Information entropy
  • 相关文献

参考文献4

二级参考文献38

  • 1李习彬.熵-信息理论与系统工程方法论的有效性分析[J].系统工程理论与实践,1994,14(2):37-42. 被引量:82
  • 2朱海平,邵新宇,张国军.不确定信息条件下的车间调度策略研究[J].计算机集成制造系统,2006,12(10):1637-1642. 被引量:16
  • 3刘飞,张晓冬,杨丹.制造系统工程[M].北京:国防工业出版社,2001.
  • 4ANDERSON C, BUNCE P. Next generation manufacturing systems white paper[R]. Arlington, Texas: CAM-I, 2000.
  • 5National Science and Technology Council. Manufacturing the future: Federal priorities for manufacturing research and development [R/OL]. http: //www. manufacturing.gov/pdf/STCIWGMFGRD_March2008_ Report. pdf, 2008.
  • 6DONG M, HE D. Hidden semi-markov model-based methodology for multi-sensor equipment health diagnosis and prognosis[J]. European Journal of Operational Research, 2007, 178: 858-878.
  • 7LI J S. Overlapping decomposition: A system-theoretic method for modeling and analysis of complex manufacturing systems[J]. IEEE Transactions on Automation Science and Engineering, 2005, 2(1): 40-53.
  • 8HUANG Q, SHI J. Variation transmission analysis and diagnosis of multi-operational machining processes[J]. IIE Transactions, 2004, 34: 89-105.
  • 9ROBERT S. Achieving competitive advantage through supply chain management-advanced planning and scheduling system[R]. Sunnyvale: VITRIA Technology, INC., 2000.
  • 10PSLX White Paper. Chapter 1 conceptual definition of APS[EB/OL]. http: //www. pslx. org/en/.

共引文献148

同被引文献137

引证文献17

二级引证文献134

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部