Intelligent Decision-making Models for Production and Retail Operations
Intelligent Decision-making Models for Production and Retail Operations
Springer | Engineering | Aug 8 2016 | ISBN-10: 3662526794 | 359 pages | pdf | 8.42 mb
Springer | Engineering | Aug 8 2016 | ISBN-10: 3662526794 | 359 pages | pdf | 8.42 mb
Authors: Guo, Zhaoxia
Presents applications of intelligent techniques in production and retail operations
Brings together up-to-date information on the theory and application of intelligent decision-making techniques
Offers an exposition of the state of the art in intelligent techniques for complicated production and retail decision-making problems with realistic features
Includes real industrial data and detailed experimental results that validate the methodologies presented
This book provides an overview of intelligent decision-making techniques and discusses their application in production and retail operations. Manufacturing and retail enterprises have stringent standards for using advanced and reliable techniques to improve decision-making processes, since these processes have significant effects on the performance of relevant operations and the entire supply chain. In recent years, researchers have been increasingly focusing attention on using intelligent techniques to solve various decision-making problems. The opening chapters provide an introduction to several commonly used intelligent techniques, such as genetic algorithm, harmony search, neural network and extreme learning machine. The book then explores the use of these techniques for handling various production and retail decision-making problems, such as production planning and scheduling, assembly line balancing, and sales forecasting.
Number of Illustrations and Tables
84 b/w illustrations
Topics
Industrial and Production Engineering
Operation Research/Decision Theory
Operations Research, Mathematical Programming
Computational Intelligence
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