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Intelligent Decision-making Models for Production and Retail Operations / by Zhaoxia Guo

By: Guo, Zhaoxia
Contributor(s): SpringerLink (Online service)
Material type: materialTypeLabelE-bookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2016Description: 1 recurso en línea (XI, 324 páginas) : 84 ilustraciones.ISBN: 9783662526811.Subject: Investigación operativa | Toma de decisionesDDC classification: 670 Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TS155.6 G869 2016 EB (Browse shelf(Opens below)) .i11599819 Acceso electrónico eBOOK .i11599819
Total holds: 0

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.

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