Overview
- Is the first book on integrated process planning and scheduling (IPPS)
- Includes a comprehensive review of IPPS to help readers pursue further research on related works
- Offers different effective solution methods for IPPS under various machining
Part of the book series: Engineering Applications of Computational Methods (EACM, volume 2)
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Table of contents (21 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Liang Gao is a Professor at the School of Mechanical Science and Engineering, Huazhong University of Science and Technology. He is an Associate Director of the State Key Laboratory of Digital Manufacturing Equipment and Technology (DMET). He is a member of the Operations Research Society of China, Artificial Intelligence Society of Hubei, Operations Research Society of Hubei and Mechanical Engineering Society of Hubei. He was also the guest co-editor of the special issues of International Journal of Advancements in Computing Technology on “Particle Swarm Optimization and Applications” in 2011 and International Journal of Advanced Manufacturing Technology on “Process Planning
and Production Scheduling in Sustainable Manufacturing” in 2012. He was a referee for the International Journal of Production Research, International Journal of Computer Integrated Manufacturing and other related international journals. His main research areas are the modern optimization method and its applications in mechanical design and manufacturing. Over the last 5 years, he has published 2 books and 53 papers in respected journals. He has received a number of awards, including the Ministry of Education Natural Science Award first prize in 2013 and the Chinese Mechanical Engineering Society Youth Science and Technology Achievement Award in 2013. He was selected for the Program for New Century Excellent Talents in University by the Ministry of Education in 2008.
Bibliographic Information
Book Title: Effective Methods for Integrated Process Planning and Scheduling
Authors: Xinyu Li, Liang Gao
Series Title: Engineering Applications of Computational Methods
DOI: https://doi.org/10.1007/978-3-662-55305-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature and Science Press, Beijing 2020
Hardcover ISBN: 978-3-662-55303-9Published: 04 June 2020
eBook ISBN: 978-3-662-55305-3Published: 03 June 2020
Series ISSN: 2662-3366
Series E-ISSN: 2662-3374
Edition Number: 1
Number of Pages: XVI, 462
Number of Illustrations: 79 b/w illustrations, 102 illustrations in colour
Topics: Industrial and Production Engineering, Artificial Intelligence, Operations Research/Decision Theory, Information Systems Applications (incl. Internet), Mathematical Modeling and Industrial Mathematics