Intelligent Systems in Operations: Methods, Models and Applications in the Supply Chain

Intelligent Systems in Operations: Methods, Models and Applications in the Supply Chain

Barin Nag (Towson University, USA)
Indexed In: SCOPUS
Release Date: March, 2010|Copyright: © 2010 |Pages: 386
DOI: 10.4018/978-1-61520-605-6
ISBN13: 9781615206056|ISBN10: 1615206051|EISBN13: 9781615206063
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Description & Coverage
Description:

Artificial Intelligence and other Intelligent Systems heavily contribute to evolution and growth in the field of Operations Management.

Intelligent Systems in Operations: Models, Methods, and Applications introduces current and original research in intelligent systems and methodologies. This book intends to provide knowledge and insights on present and future AI applications in OM from current research-oriented thinking on AI-based systems in the benefit of OM tools and decisions in terms of theoretical and empirical models, methods and their comparisons, and actual and proposed applications. A must have for industry professionals seeking examples of AI applications in OM, researchers looking for material that can be extended into further research, and graduate students in the field.

Coverage:

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

  • Collaborative Supply Chain Management
  • Computational Intelligence
  • Decision Support Systems
  • E-Procurement
  • Intelligent Decision Systems
  • Intelligent Simulation Systems
  • Mathematical Models for Optimization
  • Multi Agent Systems
  • Project Management
  • Supply Chain Event Management (SCEM)
Reviews and Testimonials

This book presents a variety of current and original research in intelligent systems and methodologies that is directly relevant and is application oriented.

– Barin Nag, College of Business & Economics of Towson University
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Editor/Author Biographies
Barin Nag is a Professor in the College of Business & Economics of Towson University. He has a PhD in Management Science and Computer Science from the University of Maryland at College Park. He has Bachelor’s and Master’s degree in Electrical Engineering from the University of Calcutta, India. He has over forty publications in artificial intelligence applications in logistics, production scheduling, financial management, and supply chain management.
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