Stochastic Processes and Models in Operations Research

Nonfiction, Science & Nature, Technology, Operations Research, Business & Finance, Management & Leadership
Cover of the book Stochastic Processes and Models in Operations Research by , IGI Global
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Author: ISBN: 9781522500469
Publisher: IGI Global Publication: March 24, 2016
Imprint: Business Science Reference Language: English
Author:
ISBN: 9781522500469
Publisher: IGI Global
Publication: March 24, 2016
Imprint: Business Science Reference
Language: English
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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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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