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

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Handbook of Stochastic Models and Analysis of Manufacturing System Operations

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 192))

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.

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Authors and Affiliations

  1. College of Administrative Sciences and Economics, Koç University, Rumelifeneri Yolu, Sarıyer, Istanbul, Turkey

    Barış Tan

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Correspondence to Barış Tan .

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  1. , MIE Department, University of Massachusetts Amherst, Governors Drive 160, Amherst, 01003, Massachusetts, USA

    J. MacGregor Smith

  2. College of Admin. Sciences & Econ., Koç University, Rumelifeneri Yolu, Sarıyer, 34450, Istanbul, Turkey

    Barış Tan

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Tan, B. (2013). Modeling and Analysis of Output Variability in Discrete Material Flow Production Systems. In: Smith, J., Tan, B. (eds) Handbook of Stochastic Models and Analysis of Manufacturing System Operations. International Series in Operations Research & Management Science, vol 192. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6777-9_9

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