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Effective methods for integrated pro...
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Gao, Liang.
Effective methods for integrated process planning and scheduling
Record Type:
Electronic resources : Monograph/item
Title/Author:
Effective methods for integrated process planning and schedulingby Xinyu Li, Liang Gao.
Author:
Li, Xinyu.
other author:
Gao, Liang.
Published:
Berlin, Heidelberg :Springer Berlin Heidelberg :2020.
Description:
xvi, 462 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Production scheduling.
Online resource:
https://doi.org/10.1007/978-3-662-55305-3
ISBN:
9783662553053$q(electronic bk.)
Effective methods for integrated process planning and scheduling
Li, Xinyu.
Effective methods for integrated process planning and scheduling
[electronic resource] /by Xinyu Li, Liang Gao. - Berlin, Heidelberg :Springer Berlin Heidelberg :2020. - xvi, 462 p. :ill., digital ;24 cm. - Engineering applications of computational methods,v.22662-3366 ;. - Engineering applications of computational methods ;v.2..
Problem Review -- Methods for single objective problem -- Methods for the Multi-objectives problem -- Dynamic scheduling -- Application.
This book summarizes a series of research work on integrated process planning and scheduling (IPPS) done by the authors, focusing on discussing the properties, novel solution methods and applications of process planning, scheduling and IPPS problems under different machining environments. It is a valuable reference resource for teachers, students and researchers working in the fields of engineering, management science and other related disciplines.
ISBN: 9783662553053$q(electronic bk.)
Standard No.: 10.1007/978-3-662-55305-3doiSubjects--Topical Terms:
202753
Production scheduling.
LC Class. No.: TS157.5 / .L595 2020
Dewey Class. No.: 658.53
Effective methods for integrated process planning and scheduling
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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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Engineering (Springer-11647)
based on 0 review(s)
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EB TS157.5 .L693 2020 2020
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https://doi.org/10.1007/978-3-662-55305-3
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