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author:

Zheng, Yingwen (Zheng, Yingwen.) [1]

Indexed by:

EI

Abstract:

A maximum algebra of random variables, which can be used to analyse the manufacturing processes in the discrete event stochastic dynamic systems, is presented. A kind of series-parallel production line systems in which the work durations of all tasks are random variables with exponential distributions is discussed. By means of the maximum algebra of random variables the statistical characters of total manufacturing time are abtained in order to estimate its production performance. An example is given for confirming the validity of the method by camparing the result of simulation.

Keyword:

Algebra Computer simulation Discrete time control systems Estimation Manufacture Process control Random processes Statistical methods

Community:

  • [ 1 ] [Zheng, Yingwen]Institute of Automation, Fuzhou University, Fuzhou 350002, China

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Source :

Year: 2002

Volume: 3

Page: 2427-2429

Language: Chinese

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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