Intelligent Decision-making Models for Production and Retail Operations

✍ Scribed by Zhaoxia Guo (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2016
• Tongue: English
• Leaves: 330
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xi
New Developments and Decision-makings in Production and Retailing....Pages 1-18
Fundamentals of Intelligent Decision-Making Techniques....Pages 19-35
An Intelligent Optimization Model for Order Scheduling at Plant Level....Pages 37-62
A Bilevel Intelligent Optimization Model for Assembly Line Scheduling with Flexible Operation Assignment....Pages 63-85
A Bilevel Multi-parent Genetic Optimization Model for Flexible Assembly Line Balancing with Work-Sharing and Workstation Revisiting....Pages 87-113
An Evolution Strategy-Based Multi-objective Optimization Model for Order Planning with Multiple Production Departments....Pages 115-145
A Multi-objective Hybrid Intelligent Optimization Model for Order Planning with Uncertainties....Pages 147-186
A Harmony Search-Based Hybrid Intelligent Optimization Model for Order Planning with Learning Effects....Pages 187-232
An RFID- and Cloud-Based Intelligent Decision Support System Architecture for Production Tracking and Scheduling....Pages 233-260
A Neural Network-Based Forecasting Model for Univariate Sales Forecasting....Pages 261-293
An Extreme Learning Machine-Based Intelligent Decision-Making Model for Multivariate Sales Forecasting....Pages 295-316
New Directions....Pages 317-324

✦ Subjects

Industrial and Production Engineering; Operation Research/Decision Theory; Operations Research, Management Science; Computational Intelligence