Intelligent Systems in Operations

Barin Nag

ISBN 10: 1615206051 / ISBN 13: 9781615206056

Published by Business Science Reference, US, 2010

About this Item

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.

Seller Inventory # LU-9781615206056

Bibliographic Details

• Title: Intelligent Systems in Operations
• Publisher: Business Science Reference, US
• Publication Date: 2010
• Language: English
• ISBN 10: 1615206051
• ISBN 13: 9781615206056
• Binding: Hardback
• Condition: New
• Dimensions: 21.59W x 2.24H x 27.94D centimeters 21.59 centimeters width by 2.24 centimeters height by 27.94 centimeters depth
• Weight: 1324 grams

About this title

Synopsis

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.

About the Author

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 Bachelors and Masters 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.