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Stochastic Processes and Models in Operations Research

Stochastic Processes and Models in Operations Research

Neelamegam Anbazhagan
Copyright: © 2016 |Pages: 338
ISBN13: 9781522500445|ISBN10: 1522500448|EISBN13: 9781522500452
DOI: 10.4018/978-1-5225-0044-5
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MLA

Anbazhagan, Neelamegam, editor. Stochastic Processes and Models in Operations Research. IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0044-5

APA

Anbazhagan, N. (Ed.). (2016). Stochastic Processes and Models in Operations Research. IGI Global. https://doi.org/10.4018/978-1-5225-0044-5

Chicago

Anbazhagan, Neelamegam, ed. Stochastic Processes and Models in Operations Research. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0044-5

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Decision-making is an important task no matter the industry. Operations research, as a discipline, helps alleviate decision-making problems through the extraction of reliable information related to the task at hand in order to come to a viable solution. Integrating stochastic processes into operations research and management can further aid in the decision-making process for industrial and management problems.

Stochastic Processes and Models in Operations Research emphasizes mathematical tools and equations relevant for solving complex problems within business and industrial settings. This research-based publication aims to assist scholars, researchers, operations managers, and graduate-level students by providing comprehensive exposure to the concepts, trends, and technologies relevant to stochastic process modeling to solve operations research problems.

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Front Materials
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Title Page
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Copyright Page
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Advances in Logistics, Operations, and Management Science (ALOMS) Book Series
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Editorial Advisory Board
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Preface
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Acknowledgement
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Chapters
Back Materials
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Compilation of References
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About the Contributors
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Index
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