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Effective Methods for Integrated Process Planning and Scheduling [electronic resource] / by Xinyu Li, Liang Gao.

By: Li, Xinyu [author.].
Contributor(s): Gao, Liang [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Engineering Applications of Computational Methods: 2Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XVI, 462 p. 181 illus., 102 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662553053.Subject(s): Industrial engineering | Production engineering | Artificial intelligence | Operations research | Application software | Mathematical models | Industrial and Production Engineering | Artificial Intelligence | Operations Research and Decision Theory | Computer and Information Systems Applications | Mathematical Modeling and Industrial MathematicsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 670 Online resources: Click here to access online
Contents:
Problem Review -- Methods for single objective problem -- Methods for the Multi-objectives problem -- Dynamic scheduling -- Application.
In: Springer Nature eBookSummary: This book summarizes a series of research work on integrated process planning and scheduling (IPPS) done by the authors, focusing on discussing the properties, novel solution methods and applications of process planning, scheduling and IPPS problems under different machining environments. It is a valuable reference resource for teachers, students and researchers working in the fields of engineering, management science and other related disciplines.
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Problem Review -- Methods for single objective problem -- Methods for the Multi-objectives problem -- Dynamic scheduling -- Application.

This book summarizes a series of research work on integrated process planning and scheduling (IPPS) done by the authors, focusing on discussing the properties, novel solution methods and applications of process planning, scheduling and IPPS problems under different machining environments. It is a valuable reference resource for teachers, students and researchers working in the fields of engineering, management science and other related disciplines.

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