Stochastic Processes and Models in Operations Research

Stochastic Processes and Models in Operations Research

Neelamegam Anbazhagan (Alagappa University, India)
Release Date: March, 2016|Copyright: © 2016 |Pages: 338
ISBN13: 9781522500445|ISBN10: 1522500448|EISBN13: 9781522500452|DOI: 10.4018/978-1-5225-0044-5


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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Decision Making
  • Fuzzy Models
  • Inventory management
  • Performance analysis
  • Queuing Systems
  • Stochastic models
  • Supply Chain Management

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

N. Anbazhagan is currently Professor of Mathematics in Alagappa University, Karaikudi, India. He received his M. Phil and Ph.D in Mathematics from Madurai Kamaraj University, Madurai, India and M.Sc in Mathematics from Cardamom Planters Association College, Bodinayakanur, India. He has received Young Scientist Award (2004) from DST, New Delhi, India, Young Scientist Fellowship (2005) from TNSCST, Chennai, India, Career Award for Young Teachers (2005) from AICTE, India and Research award (2014) from UGC, New Delhi, India. He has successfully completed two research projects, funded by DST and NBHM India. His research interests include Stochastic modeling, Optimization Techniques, Inventory and Queueing Systems. He has published the research articles in several journals, including Stochastic analysis and applications, Applied Mathematical Modeling and APJOR.