Probability Models in Operations Research

C. Richard Cassady, Joel A. Nachlas

© 2008 - CRC Press
Published August 5, 2008
Textbook - 224 Pages - 15 B/W Illustrations
ISBN 9781420054897 - CAT# 54899
Series: Operations Research Series

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  • Addresses probability modeling concepts, including probability distributions and conditioning
  • Explores issues related to single and multiple random variables
  • Covers the use of stochastic processes to model the time evolution of a random variable
  • Includes Poisson processes, discrete-time Markov chains, and continuous-time Markov chains
  • Presents queuing models that can be applied to waiting lines, manufactured parts in an assembly process, and calls in a telephone network Textbook Features
  • Includes homework problems at the end of each chapter
  • Concludes each of the first six chapters with an extended homework problem

Solutions manual available upon qualifying course adoption


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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