Handbook of Computational Intelligence in Manufacturing and Production Management, 1st Edition

  • Published By:
  • ISBN-10: 1599045842
  • ISBN-13: 9781599045849
  • Grade Level Range: College Freshman - College Senior
  • 491 Pages | eBook
  • Original Copyright 2007 | Published/Released April 2008
  • This publication's content originally published in print form: 2007

  • Price:  Sign in for price

About

Overview

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.

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. 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.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Table of Contents.
Detailed Table of Contents.
Foreword.
Preface.
Acknowledgment.
List of Reviewers.
1: Computational Intelligence Methodologies.
2: Heuristics and Metaheuristics for Solving Scheduling Problems.
3: Solving Machine Loading Problem of FMS: An Artificial Intelligence (AI) Based Random Search Optimization Approach.
4: Computational Intelligence in the Financial Functions of Industrial Firms.
5: Fuzzy Sets and Analytical Hierarchical Process for Manufacturing Process Choice.
6: Computational Intelligence Approach on a Deterministic Production-Inventory Control Model with Shortages.
7: Condition Monitoring Using Computational Intelligence.
8: Demand Forecasting of Short Life Span Products: Issues, Challenges, and Use of Soft Computing Techniques.
9: Introduction to Data Mining and its Applications to Manufacturing.
10: Evolutionary Computing in Engineering Design.
11: Supply Chain and Decision Support Systems.
12: Towards a Methodology for Monitoring and Analyzing the Supply Chain Behavior.
13: Decision Support System for Project Selection.
14: Modeling and Coordination of Dynamic Supply Networks.
15: Modeling with System Archetypes: A Case Study.
16: Integrated Manufacturing Applications and Management Decision Making: Putting the P Back into ERP.
17: Planning and Deployment of Dynamic Web Technologies for Supporting E-Business.
18: Web-Based Decision Support System: Concept and Issues.
19: Applications in Manufacturing and Production Management.
20: Independent Component Analysis and its Applications to Manufacturing Problems.
21: Swarm Intelligence in Production Management and Engineering.
22: Artificial Neural Network and Metaheuristic Strategies: Emerging Tools for Metal Cutting Process Optimization.
23: Intelligent Laser Scanning of 3D Surfaces Using Optical Camera Data.
24: Using Data Mining for Forecasting Data Management Needs.
25: Supply Network Planning Models Using Enterprise Resource Planning Systems.
26: Modeling and Analysis for Production Performance: Analysis of U.S. Manufacturing Companies.
About the Contributors.
Index.