Handbook of Computational Intelligence in Manufacturing and Production Management

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Laha, Dipak
IGI Global, Nov 30, 2007 - Computers - 516 pages
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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.


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Solving Machine Loading Problem of FMS An Artificial Intelligence AI Based Random Search Optimization Approa
Computational Intelligence in the Financial Functions of Industrial Firms
Fuzzy Sets and Analytical Hierarchical Process for Manufacturing Process Choice
Computational Intelligence Approach on a Deterministic ProductionInventory Control Model with Shortages
Condition Monitoring Using Computational Intelligence
Demand Forecasting of Short Life Span Products Issues Challenges and Use of Soft Computing Techniques
Introduction to Data Mining and its Applications to Manufacturing
Evolutionary Computing in Engineering Design
Planning and Deployment of Dynamic Web Technologies for Supporting EBusiness
WebBased Decision Support System Concept and Issues
Applications in Manufacturing and Production Management
Independent Component Analysis and its Applications to Manufacturing Problems
Swarm Intelligence in Production Management and Engineering
Artificial Neural Network and Metaheuristic Strategies Emerging Tools for Metal Cutting Process Optimization
Intelligent Laser Scanning of 3D Surfaces Using Optical Camera Data
Using Data Mining for Forecasting Data Management Needs

Supply Chain and Decision Support Systems
Towards a Methodology for Monitoring and Analyzing the Supply Chain Behavior
Decision Support System for Project Selection
Modeling and Coordination of Dynamic Supply Networks
Modeling with System Archetypes A Case Study
Integrated Manufacturing Applications and Management Decision Making Putting the P Back into ERP

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About the author (2007)

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. [Editor]

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