Probability models in operations research /

Industrial engineering has expanded from its origins in manufacturing to transportation, health care, logistics, services, and more. A common denominator among all these industries, and one of the biggest challenges facing decision-makers, is the unpredictability of systems. Probability Models in Op...

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Bibliographic Details
Main Authors: Cassady, C. Richard (Author), Nachlas, Joel A. (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2008.
Edition:First edition.
Series:Operations research series.
Subjects:
Online Access:Connect to the full text of this electronic book
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505 0 |a chapter 1 Probability Modeling Fundamentals -- chapter 2 Analysis of Random Variables -- chapter 3 Analysis of Multiple Random Variables -- chapter 4 Introduction to Stochastic Processes -- chapter 5 Poisson Processes -- chapter 6 Discrete-Time Markov Chains -- chapter 7 Continuous-Time Markov Chains -- chapter 8 Markovian Queueing Systems. 
520 3 |a Industrial engineering has expanded from its origins in manufacturing to transportation, health care, logistics, services, and more. A common denominator among all these industries, and one of the biggest challenges facing decision-makers, is the unpredictability of systems. Probability Models in Operations Research provides a comprehensive overview of the probabilistic and stochastic modeling approaches commonly used to capture the randomness in industrial and systems engineering. 
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