Stochastic Processes and Models in Operations Research
Nonfiction, Science & Nature, Technology, Operations Research, Business & Finance, Management & Leadership
| 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.
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.
