Handbook of Computational Intelligence in Manufacturing and Production Management

Handbook of Computational Intelligence in Manufacturing and Production Management

Dipak Laha (Jadavpur University, India) and Purnendu Mandal (Lamar University, USA)
Indexed In: SCOPUS View 1 More Indices
Release Date: November, 2007|Copyright: © 2008 |Pages: 516
DOI: 10.4018/978-1-59904-582-5
ISBN13: 9781599045825|ISBN10: 1599045826|EISBN13: 9781599045849
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Description & Coverage
Description:

During the last two decades, computer and information technologies have forced great changes in the ways businesses manage operations in meeting the desired quality of products and services, customer demands, competition, and other challenges.

The Handbook of Computational Intelligence in Manufacturing and Production Management focuses on new developments in computational intelligence in areas such as forecasting, scheduling, production planning, inventory control, and aggregate planning, among others. This comprehensive collection of research provides cutting-edge knowledge on information technology developments for both researchers and professionals in fields such as operations and production management, Web engineering, artificial intelligence, and information resources management.

Coverage:

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

  • AI-based random search optimization approach
  • Analytical hierarchal processes
  • Computational intelligence in financial functions
  • Condition monitoring using computational intelligence
  • Data mining applications to manufacturing
  • Demand forecasting of short-life-span products
  • Dynamic Web technology support of e-business
  • Dynamics supply networks
  • Enterprise resource planning systems
  • Evolutionary Computing
  • Fuzzy set processes
  • Heuristic and metaheuristic development
  • Independent component analysis
  • Integrated manufacturing applications
  • Intelligent laser scanning
  • Management decision making
  • Supply chain behavior
  • Swarm Intelligence
  • System archetypes modeling
  • Web-based decision support systems
Reviews and Testimonials

This handbook focuses on new developments in computational intelligence in areas such as forecasting, scheduling, production planning and inventory control. It offers a great theoretical challenge for researchers and, from a practical point of view, plays a significant role in the successful operation of different fields of production management.

– Dipak Laha, Jadavpur University, India

This collection offers up-to-date information for both researchers and professionals in operations and production management, Web engineering, artificial intelligence, and information resources management.

– Book News Inc. (2008)
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Editor/Author Biographies
Dipak Laha is a reader in the department of mechanical engineering at Jadavpur University, Calcutta, India. He received a BE in mechanical engineering from Bengal Engineering College, Shibpur, an MTech in industrial management from Indian Institute of Technology, Kharagpur and a PhD in industrial engineering from Jadavpur University. His teaching and research are in the areas of operations research, production planning and control, computer integrated manufacturing, evolutionary optimization, heuristics, operations management, and artificial intelligence.
Purnendu Mandal is professor and chair of the information systems and analysis department, Lamar University. His teaching and research interests are in the areas of database management systems, e-commerce, strategic management information systems, management information systems, and system dynamics. His research papers have appeared in European Journal of Operational Research, International Journal of Production Economics, Management Decision, International Journal of Operations & Production Management, International Journal of Quality & Reliability Management, Logistics Information Management, Intelligent Automation and Soft Computing: An International Journal, International Journal of Technology Management, ASCE Journal of Management in Engineering, Decision, Applied Mathematical Modeling.
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