Effective Methods for Integrated Process Planning and Scheduling
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
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Xinyu Li Liang Gao
Effective Methods for Integrated Process Planning and Scheduling
Engineering Applications of Computational Methods Volume 2
Series Editors Liang Gao, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China Akhil Garg, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China
The book series Engineering Applications of Computational Methods addresses the numerous applications of mathematical theory and latest computational or numerical methods in various fields of engineering. It emphasizes the practical application of these methods, with possible aspects in programming. New and developing computational methods using big data, machine learning and AI are discussed in this book series, and could be applied to engineering fields, such as manufacturing, industrial engineering, control engineering, civil engineering, energy engineering and material engineering. The book series Engineering Applications of Computational Methods aims to introduce important computational methods adopted in different engineering projects to researchers and engineers. The individual book volumes in the series are thematic. The goal of each volume is to give readers a comprehensive overview of how the computational methods in a certain engineering area can be used. As a collection, the series provides valuable resources to a wide audience in academia, the engineering research community, industry and anyone else who are looking to expand their knowledge of computational methods.
More information about this series at http://www.springer.com/series/16380
Xinyu Li Liang Gao •
Effective Methods for Integrated Process Planning and Scheduling
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Xinyu Li School of Mechanical Science and Engineering, HUST State Key Laboratory of Digital Manufacturing and Equipment Technology Wuhan, Hubei, China
Liang Gao School of Mechanical Science and Engineering, HUST State Key Laboratory of Digital Manufacturing and Equipment Technology Wuhan, Hubei, China
ISSN 2662-3366 ISSN 2662-3374 (electronic) Engineering Applications of Computational Methods ISBN 978-3-662-55303-9 ISBN 978-3-662-55305-3 (eBook) https://doi.org/10.1007/978-3-662-55305-3 Jointly published with Science Press The print edition is not for sale in China (Mainland). Customers from China (Mainland) please order the print book from: Science Press. © Springer-Verlag GmbH Germany, part of Springer Nature and Science Press, Beijing 2020 This work is subject to copyright. All rights are reserved by the Publishers, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, register
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