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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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
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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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