Details

Title Intelligence Optimization for Green Scheduling in Manufacturing Systems
Author Lu, Chao/ Gao, Liang/ Li, Xinyu/ Yin, Lvjiang
Binding Hardback
Condition New
Pages 250
Volumes 1
Language ENG
Publisher Springer Nature
Publication date 2023
Bookseller's Inventory # x-9819969867
ISBN 9789819969869 / 9819969867
Weight 1.35 lbs (0.61 kg)
Dimensions 9.29 x 6.22 x 0.79 in (23.60 x 15.80 x 2.01 cm)
Category Technology & Industrial Arts
Quantity available 2

About Revaluation Books Devon, United Kingdom

Biblio member since 2020

General bookseller of both fiction and non-fiction.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Revaluation Books

Reader reviews for Intelligence Optimization for Green Scheduling in Manufacturing Systems

Write a review for this book

Important Terms and Guidelines

Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
Reviews must be at least 140 characters in length.
Please do not reveal critical plot elements.
This is not a help line. Contact customer support if you need help.

Your review must not include:

Obscenities, discriminatory language, or other insulting language not suitable for public domain
Advertisements, “spam” content, or references to other products, offers or websites.
Email addresses, URLs, phone numbers, physical addresses or other contact information.
Overly critical comments about other reviews or reviewers
Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
Availability, price, or alternative ordering/shipping information

From the publisher

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.

From the rear cover

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.

About the author

Chao Lu is an associate professor and doctoral supervisor of the China University of Geosciences (CUG), Wuhan, China. He has published more than 50 SCI papers, including one ESI Hot Paper and two ESI Highly Cited Papers. He was a recipient of Paper Prize Award 2020-Practice at the 21th IFAC (International Federation of Automatic Control) 2020 World Congress. He has also published one Chinese monograph. He has won the third prize for Science and Technology Award of China Federation of Logistics and Procurement. Additionally, he serves as the editorial board of the SCI Journal Intelligent Automation & Soft Computing and guest editor of the SCI Journal Symmetry. His current research interests include green scheduling, distributed shop scheduling, path planning, etc.

Liang Gao received the B.Sc. degree in mechatronic engineering from Xidian University, Xi'an, China, in 1996, and the Ph.D. degree in mechatronic engineering from the Huazhong University of Science and Technology (HUST), Wuhan, China, in 2002. He is a professor of the Department of Industrial and Manufacturing Systems Engineering and the deputy director of State Key Laboratory of Digital Manufacturing Equipment and Technology. He was supported by the National Science Fund for Distinguished Young Scholars of China in 2018. His research interests include operations research and optimization, big data and machine learning, etc. He has published over 500 papers indexed by SCIE and authored 15 monographs.

Xinyu Li received his Ph.D. degree in industrial engineering from Huazhong University of Science and Technology (HUST), China, 2009. He is a professor of the Department of Industrial and Manufacturing Systems Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, and School of Mechanical Science and Engineering, HUST. He had published more than 100 refereed papers. His research interests include intelligent algorithm, scheduling and machinelearning, etc.

Lvjiang Yin is a professor, Master's degree supervisor, and dean of the School of Economics and Management at Hubei University of Automotive Technology. His research interests include green scheduling and intelligent logistics system. He is the first outstanding young social science talent in Hubei Province, the leading talent of science and technology innovation and entrepreneurship in Shiyan City. He has published more than 30 papers, including 11 SCI and SSCI papers and 6 EI indexed papers. He has hosted 1 National Social Science Foundation project, 5 provincial research projects such as the Ministry of Education Fund Project and Hubei Provincial Foundation Project, and has won more than ten provincial and ministerial-level scientific and technological awards and two teaching achievement awards.

BIBLIO is the largest independent book marketplace in the world, with over 100 million books.