Overview
- Presents recent advances and rigorously developed papers in service science research, education and implementation
- Highlights emerging technology and applications in the state-of-the-art of service research
- Includes service case studies written by scholars and practitioners worldwide
Part of the book series: Springer Proceedings in Business and Economics (SPBE)
Included in the following conference series:
Conference proceedings info: INFORMS-CSS 2020.
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Table of contents (36 papers)
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AI and Analytics for Public Health
Editors and Affiliations
About the editors
Hui Yang is a Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University, University Park, PA. Dr. Yang's research interests focus on sensor-based modeling and analysis of complex systems for process monitoring, process control, system diagnostics, condition prognostics, quality improvement, and performance optimization.
Robin Qiu is Professor at Pennsylvania State University, USA. Dr. Qiu’s research interests include Big Data, Data/Business Analytics, Smart Service Systems, Service Science, Service Operations and Management, Information Systems, and Manufacturing and Supply Chain Management.
Weiwei Chen is an Associate Professor at Rutgers University, USA. His research interests lie in operations and finance interface, as well as supply chain operations planning and scheduling. He also works on simulation and randomized global optimization methodologies.
Bibliographic Information
Book Title: AI and Analytics for Public Health
Book Subtitle: Proceedings of the 2020 INFORMS International Conference on Service Science
Editors: Hui Yang, Robin Qiu, Weiwei Chen
Series Title: Springer Proceedings in Business and Economics
DOI: https://doi.org/10.1007/978-3-030-75166-1
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-75165-4Published: 05 January 2022
Softcover ISBN: 978-3-030-75168-5Published: 06 January 2023
eBook ISBN: 978-3-030-75166-1Published: 03 January 2022
Series ISSN: 2198-7246
Series E-ISSN: 2198-7254
Edition Number: 1
Number of Pages: XII, 477
Number of Illustrations: 114 b/w illustrations
Topics: Operations Research/Decision Theory, Statistics, general, Mathematical and Computational Engineering