國立虎尾科技大學 |

Intelligent decision-making models for production and retail operations

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Intelligent decision-making models for production and retail operations/ by Zhaoxia Guo.
Author:	Guo, Zhaoxia.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2016.,
Description:	xi, 324 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Decision support systems. -
Online resource:	http://dx.doi.org/10.1007/978-3-662-52681-1
ISBN:	9783662526811

Intelligent decision-making models for production and retail operations
Guo, Zhaoxia.

Intelligent decision-making models for production and retail operations[electronic resource] /by Zhaoxia Guo. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xi, 324 p. :ill., digital ;24 cm.

From the Contents: Introduction -- Fundamentals of intelligent decision-making techniques -- An intelligent decision-making framework for production planning and control -- An intelligent optimization model for order scheduling at factory level.

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.

ISBN: 9783662526811

Standard No.: 10.1007/978-3-662-52681-1doiSubjects--Topical Terms:

641932
Decision support systems.

LC Class. No.: TS155.6 / .G86 2016

Dewey Class. No.: 670.285

Intelligent decision-making models for production and retail operations
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505 0 $a From the Contents: Introduction -- Fundamentals of intelligent decision-making techniques -- An intelligent decision-making framework for production planning and control -- An intelligent optimization model for order scheduling at factory level.
520 $a 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.
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