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Intelligent Decision-making Models for Production and Retail Operations [electronic resource] / by Zhaoxia Guo.

By: Guo, Zhaoxia [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016Description: XI, 324 p. 84 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662526811.Subject(s): Engineering | Operations research | Decision making | Management science | Computational intelligence | Industrial engineering | Production engineering | Engineering | Industrial and Production Engineering | Operation Research/Decision Theory | Operations Research, Management Science | Computational IntelligenceAdditional physical formats: Printed edition:: No titleDDC classification: 670 Online resources: Click here to access online
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.
In: Springer eBooksSummary: 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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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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