AI and Analytics for Public Health : Proceedings of the 2020 INFORMS International Conference on Service Science

Yang, Hui (EDT); Qiu, Robin (EDT); Chen, Weiwei (EDT)

ISBN 10: 3030751651 / ISBN 13: 9783030751654

Published by Springer, 2022

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Bibliographic Details

• Title: AI and Analytics for Public Health : Proceedings of the 2020 INFORMS International Conference on Service Science
• Publisher: Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3030751651
• ISBN 13: 9783030751654
• Binding: Hardcover
• Condition: As New

About this title

Synopsis

This volume offers the state-of-the-art research and developments in service science and related research, education and practice areas. It showcases emerging technology and applications in fields including healthcare, energy, finance, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users’ both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. Chapters highlight ways to approach such technical challenges in service science and are based on submissions from the 2020 INFORMS International Conference on Service Science.

About the Author

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.