Intelligence optimization for green scheduling in manufacturing systems / Chao Lu, Liang Gao, Xinyu Li, Lvjiang Yin.
Lu, Chao, author.; Gao, Liang, 1974- author.; Li, Xinyu, author.; Yin, Lvjiang, author.
2023
TS157.5
Available Online

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Details

Title
Intelligence optimization for green scheduling in manufacturing systems / Chao Lu, Liang Gao, Xinyu Li, Lvjiang Yin.
Author
Lu, Chao, author.
ISBN
9789819969876 (electronic bk.)
9819969875 (electronic bk.)
9789819969869
9819969867
DOI
https://doi.org/10.1007/978-981-99-6987-6
Published
Singapore : Springer, 2023.
Language
English
Description
1 online resource (xi, 250 pages) : illustrations (some color).
Item Number
10.1007/978-981-99-6987-6 doi
Call Number
TS157.5
Dewey Decimal Classification
658.5/3
Summary
This book investigates in detail production scheduling technology in different kinds of shop environment to achieve sustainability manufacturing. Studies on shop scheduling have attracted engineers and scientists from various disciplines, such as electrical, mechanical, automation, computer, and industrial engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of intelligent optimization and the significant influence of production scheduling in the manufacturing systems. The book is intended for undergraduate and graduate students who are interested in intelligent optimization technology, shop scheduling, and green manufacturing systems or other scheduling applications.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 27, 2023).
Added Author
Gao, Liang, 1974- author.
Li, Xinyu, author.
Yin, Lvjiang, author.
Series
Engineering applications of computational methods ; v. 18. 2662-3374
Available in Other Form
Print version: 9789819969869
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
1. System overview
2. Green scheduling in single machine environment
3. Green scheduling in permutation flow shop environment
4. Green scheduling in hybrid flow shop environment
5. Green scheduling in job shop environment.

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