Overview
- Contains both theoretical and practical studies of Management Science in the Big Data Era
- Presents advanced management concepts
- Lists decision making scenarios when facing large, uncertain or unstructured data
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes on Multidisciplinary Industrial Engineering (LNMUINEN)
Included in the following conference series:
Conference proceedings info: ICMSEM 2017.
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About this book
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Keywords
Table of contents (150 papers)
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Data Analysis
Other volumes
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Proceedings of the Eleventh International Conference on Management Science and Engineering Management
Editors and Affiliations
About the editors
Professor JIUPING XU is affiliated to the Sichuan University, Business School. China. His research interests are in the fields of energy development, circular economy, water resources management, low-carbon and environmental issues, civil engineering and management, and integrated systems of health management.
Mitsuo Gen is a senior research scientist at Fuzzy Logic Systems Institute & Tokyo University of Science, Tokyo, Japan. He holds many professor positions in different institutions in USA and Asia. His research interests are on Soft Computing Techniques (Fuzzy Logic, Evolutional Algorithms & Artificial Neural Network); Applications to Intelligent Manufacturing and Logistics Systems.
Professor Fang Lee Cooke serves as associate dean of Business School of Monash University. She is a Professor of Human Resource Management and Asia Studies in the Department of Management.
Bibliographic Information
Book Title: Proceedings of the Eleventh International Conference on Management Science and Engineering Management
Editors: Jiuping Xu, Mitsuo Gen, Asaf Hajiyev, Fang Lee Cooke
Series Title: Lecture Notes on Multidisciplinary Industrial Engineering
DOI: https://doi.org/10.1007/978-3-319-59280-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-59279-4Published: 30 June 2017
Softcover ISBN: 978-3-319-86587-4Published: 07 September 2018
eBook ISBN: 978-3-319-59280-0Published: 27 June 2017
Series ISSN: 2522-5022
Series E-ISSN: 2522-5030
Edition Number: 1
Number of Pages: XXIV, 1801
Number of Illustrations: 604 b/w illustrations
Topics: Industrial and Production Engineering, Big Data/Analytics, Management of Computing and Information Systems