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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Cassady, C. Richard; Nachlas, Joel A.
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
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