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Modeling and Analysis of Output Variability in Discrete Material Flow Production Systems

In: Handbook of Stochastic Models and Analysis of Manufacturing System Operations

Author

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  • Barış Tan

    (Koç University)

Abstract

Developing analytical models for performance evaluation of production systems has been subject to numerous studies in the literature [4, 15, 24]. The main focus in most of these studies has been on utilizing Markovian models and deriving various first-order performance measures from the steady-state probabilities. The most commonly used performance measure in these studies is the throughput that is defined as the number of products produced per unit time in the long run. In addition average inventory levels, the average time spent in the system, probability of stock-out, probability of blocking and starvation are also used to design and control production systems by using these analytical models.

Suggested Citation

  • Barış Tan, 2013. "Modeling and Analysis of Output Variability in Discrete Material Flow Production Systems," International Series in Operations Research & Management Science, in: J. MacGregor Smith & Barış Tan (ed.), Handbook of Stochastic Models and Analysis of Manufacturing System Operations, edition 127, chapter 0, pages 287-311, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-6777-9_9
    DOI: 10.1007/978-1-4614-6777-9_9
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    Cited by:

    1. Yang Woo Shin, 2022. "An Algorithm for Asymptotic Mean and Variance for Markov Renewal Process of M/G/1 Type with Finite Level," Methodology and Computing in Applied Probability, Springer, vol. 24(1), pages 195-212, March.

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