期刊文献+

Dynamic Prediction Method of Production Logistics Bottleneck Based on Bottleneck Index 被引量:22

Dynamic Prediction Method of Production Logistics Bottleneck Based on Bottleneck Index
下载PDF
导出
摘要 In modern manufacturing pattern, there are many uncertain factors in the modern manufacturing process, such as changes of product attribute, changes of manufacturing resources' state, and so on, which cause production logistics bottleneck frequently shift, and make decisions of production planning and control based on formed bottleneck deviated from practical production process. Considering these factors, present researches mainly apply afterwards control to optimize production process to passively adapt to bottleneck changes If the direction of bottleneck shifting can be accurately forecasted, the transition from afterwards control of chasing bottleneck to beforehand control can be realized. Therefore, aiming at the phenomenon of production logistics bottleneck shifting under uncertain manufacturing circumstances, this paper starts off with dynamic property of capability and requirement and then builds the concepts of bottleneck degree and bottleneck index to describe dynamic bottleneck characteristic of production unit; taken production capability, production load and quality assurance capability into consideration, mathematical model of bottleneck index is established to measure bottleneck degree accurately, consequently, quantitative research on mechanism of production logistics shifting is achieved. Based on bottleneck index, the prediction model of production logistics bottleneck is founded to predict dynamic change of bottleneck accurately. Finally, an example of forecasting and monitoring the production logistics bottleneck in one manufacturing shop is given to testify the validation and practicability of the prediction method. In modern manufacturing pattern, there are many uncertain factors in the modern manufacturing process, such as changes of product attribute, changes of manufacturing resources' state, and so on, which cause production logistics bottleneck frequently shift, and make decisions of production planning and control based on formed bottleneck deviated from practical production process. Considering these factors, present researches mainly apply afterwards control to optimize production process to passively adapt to bottleneck changes If the direction of bottleneck shifting can be accurately forecasted, the transition from afterwards control of chasing bottleneck to beforehand control can be realized. Therefore, aiming at the phenomenon of production logistics bottleneck shifting under uncertain manufacturing circumstances, this paper starts off with dynamic property of capability and requirement and then builds the concepts of bottleneck degree and bottleneck index to describe dynamic bottleneck characteristic of production unit; taken production capability, production load and quality assurance capability into consideration, mathematical model of bottleneck index is established to measure bottleneck degree accurately, consequently, quantitative research on mechanism of production logistics shifting is achieved. Based on bottleneck index, the prediction model of production logistics bottleneck is founded to predict dynamic change of bottleneck accurately. Finally, an example of forecasting and monitoring the production logistics bottleneck in one manufacturing shop is given to testify the validation and practicability of the prediction method.
出处 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2009年第5期710-716,共7页 中国机械工程学报(英文版)
基金 supported by Anhui Provincial Natural Science Foundationof China (Grant No. 090414154)
关键词 production logistics bottleneck shifting quality assurance capability bottleneck index prediction model production logistics, bottleneck shifting, quality assurance capability, bottleneck index, prediction model
  • 相关文献

参考文献5

二级参考文献37

  • 1[1]Shiau J H,Chiangh C T,Hung H N.A bayesian procedure for process capability assessment[J].Quality and Reliability Engineering International,1999,15 (4):369- 378.
  • 2[2]Schneider H,Pruett J,Lagrange C.Use of process capability indices in the supplier certification process[J].Quality Engineering,1995-968(2) :225-235.
  • 3[3]Rodriguez R N.Recent development in process capability analysis[J].Journal of Quality Technology,1992.24(4) :176- 187.
  • 4[4]Pearn W L,Kotz S,Johnson N L.Distributional and inferential properties of process capability indices[J].Journal of Quality Technology,1992,24 (4):2216- 231.
  • 5[5]Taam W,Subbaiah P,Liddy J W.A note on multivariate capability indices[J].Journal of Applied Statistics,1993,20(3):339-351.
  • 6[6]Pal S.Performance evaluation of a bivariate normal process[J].Quality Engineering,1999,11(3):379--385.
  • 7[7]Kaminsky F C,Dovich R A,Burke R JProcess capability indices now and in the future[J].Quality Engineering,1998,10(3) :445-453.
  • 8[8]Chan L K,Cheng S W,Spiring F A.A new measure of process capability :Cpm[J].Journal of Quality Technology,1988,30(2):162-175.
  • 9[9]Karl D P,Morisette J,Taam W.Some applications of a multivariate capability index in geometric dimensioning and tolerancing[J].Quality Engineering,1994,6(4):649- 665.
  • 10[10]Wang K F,Chen J C.Capability index using principal components analysis[J].Quality Engineering,1998-99,11(1):21-27.

共引文献53

同被引文献109

引证文献22

二级引证文献54

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