"This book emphasizes mathematical tools and equations relevant for solving complex problems within business and industrial settings"--
Anbazhagan presents a collection of academic and professional contributions on the mathematical tools and equations relevant for solving complex problems within a variety of industrial and business settings. The sixteen selections are arranged in parts devoted to analyzing queues in fuzzy environments, a single server retrial queueing system with two types of batch arrivals, perishable inventory systems with bi-level service systems, stochastic inventory systems with complement items and retrial customers, and many other related subjects. The editor is a faculty member of Alagappa University in India. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)
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.
