Balancing applications with mathematical rigour, this book introduces the use of probability to define models that have applications in industrial engineering and operations research. It is suitable for those who use probability to model system behaviour.
Balancing applications with mathematical rigor, Probability Models in Operations Research provides an introduction to the use of probability to define models that have applications in industrial engineering and operations research. With a concise review of the key components of probability theory, this book offers coverage of all basic model forms, probability modeling fundamentals, random variables analysis, multiple random variables analysis, Bernoulli processes, discrete-time Markov chains, Poisson processes, renewal processes, continuous-time Markov chains, and queueing theory. The text serves as a practical reference for those who use probability to model system behaviors.
The authors used a subset of the homework problems as in-class examples and another subset for homework-an excellent idea. Each of the six chapters also contains an application illustrating how the principles discussed can be applied in real life ... another very good idea. Overall, this clearly written work is a useful resource ... Summing Up: Highly recommended.- R. Bharath, Emeritus, Northern Michigan University, in Choice: Current Reviews for Academic Libraries, Vol. 47, No. 1
