Effective Methods for Integrated Process Planning and Scheduling

Author:   Xinyu Li ,  Liang Gao
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   1st ed. 2020
Volume:   2
ISBN:  

9783662553039


Pages:   462
Publication Date:   04 June 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Effective Methods for Integrated Process Planning and Scheduling


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Overview

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.

Full Product Details

Author:   Xinyu Li ,  Liang Gao
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1st ed. 2020
Volume:   2
Weight:   0.881kg
ISBN:  

9783662553039


ISBN 10:   3662553031
Pages:   462
Publication Date:   04 June 2020
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Problem Review.- Methods for single objective problem.- Methods for the Multi-objectives problem.- Dynamic scheduling.- Application.

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Author Information

"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 wona 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."

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