Engineering Applications of Computational Methods
cover

Effective Methods for Integrated Process Planning and Scheduling

Authors: Li, Xinyu, Gao, Liang

  • 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 
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eBook 118,99 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: June 12, 2020
  • ISBN 978-3-662-55305-3
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 155,99 €
price for Spain (gross)
  • Due: June 12, 2020
  • ISBN 978-3-662-55303-9
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

About the authors

Xinyu Li is an Associate Professor at the School of Mechanical Science and Engineering, Huazhong University of Science and Technology, China. He is a member of the State Key Laboratory of Digital Manufacturing Equipment and Technology (DMET) and 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 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 the International Journal of Advanced Manufacturing Technology on “Process Planning and Production Scheduling in Sustainable Manufacturing” in 2012. His main research areas are integration of process planning and scheduling, process parameter optimization, approximation algorithms and flexible job shop scheduling. He has published 65 papers in international journals and at conferences. He has won a number of awards, including the "Science & Technology Award for Youth" from the Operations Research Society of China, and a Ministry of Education Natural Science Award in 2013. He was also nominated for "Excellent Dissertation Award " by the Ministry of Education of China. 
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.

Buy this book

eBook 118,99 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: June 12, 2020
  • ISBN 978-3-662-55305-3
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 155,99 €
price for Spain (gross)
  • Due: June 12, 2020
  • ISBN 978-3-662-55303-9
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules

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Bibliographic Information

Bibliographic Information
Book Title
Effective Methods for Integrated Process Planning and Scheduling
Authors
Series Title
Engineering Applications of Computational Methods
Series Volume
2
Copyright
2020
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag GmbH Germany, part of Springer Nature and Science Press, Beijing
Distribution Rights
Distribution rights for print book in China: Science Press
eBook ISBN
978-3-662-55305-3
Hardcover ISBN
978-3-662-55303-9
Series ISSN
2662-3366
Edition Number
1
Number of Pages
360
Number of Illustrations
300 b/w illustrations, 50 illustrations in colour
Topics