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Production variability in manufacturing systems: Bernoulli reliability case

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Abstract

The problem of production variability in serial manufacturing lines with unreliable machines is addressed. Bernoulli statistics of machine reliability are assumed. Three problems are considered: the problem of production variance, the problem of constant demand satisfaction, and the problem of random demand satisfaction generated by another (unreliable) production line. For all three problems, bounds on the respective variability measures are derived. These bounds show that long lines smooth out the production and reduce the variability. More precisely, these bounds state that the production variability of a line with many machines is smaller than that of a single machine system with production volume and reliability characteristics similar to those of the longer line. Since all the variability measures for a single machine line can be calculated relatively easily, these bounds provide analytical tools for analysis and design of serial production lines from the point of view of the customer demand satisfaction.

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Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109‐2122, USA

    Jingshan Li & Semyon M. Meerkov

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  1. Jingshan Li
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  2. Semyon M. Meerkov
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Li, J., Meerkov, S.M. Production variability in manufacturing systems: Bernoulli reliability case. Annals of Operations Research 93, 299–324 (2000). https://doi.org/10.1023/A:1018928007956

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