Intelligent Decision-making Models for Production and Retail Operations
"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 the...
| Main Author: | Guo, Zhaoxia, |
|---|---|
| Other Authors: | SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin :
Springer,
[2016]
|
| Physical Description: |
1 online resource (xi, 324 pages) : illustrations (some color) |
| Subjects: |
| Summary: |
"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."--Publisher's description. |
|---|---|
| Item Description: |
Includes bibliographical references. 1. New Developments and Decision-makings in Production and Retailing -- 2. Fundamentals of Intelligent Decision-Making Techniques -- 3. An Intelligent Optimization Model for Order Scheduling at Plant Level -- 4. A Bilevel Intelligent Optimization Model for Assembly Line Scheduling with Flexible Operation Assignment -- 5. A Bilevel Multi-parent Genetic Optimization Model for Flexible Assembly Line Balancing with Work-Sharing and Workstation Revisiting -- 6. An Evolution Strategy-Based Multi-objective Optimization Model for Order Planning with Multiple Production Departments -- 7. A Multi-objective Hybrid Intelligent Optimization Model for Order Planning with Uncertainties -- 8. A Harmony Search-Based Hybrid Intelligent Optimization Model for Order Planning with Learning Effects -- 9. An RFID- and Cloud-Based Intelligent Decision Support System Architecture for Production Tracking and Scheduling -- 10. A Neural Network-Based Forecasting Model for Univariate Sales Forecasting -- 11. An Extreme Learning Machine-Based Intelligent Decision-Making Model for Multivariate Sales Forecasting -- 12. New Directions. "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."--Publisher's description. |
| Physical Description: |
1 online resource (xi, 324 pages) : illustrations (some color) |
| Bibliography: |
Includes bibliographical references. |
| ISBN: |
9783662526811 3662526816 |