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AI and Analytics for Public Health

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AI and Analytics for Public Health

Proceedings of the 2020 INFORMS International Conference on Service Science

Weiwei Chen, Robin Qiu, Hui Yang

Springer
Publication date : 2022-01-03

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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.

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About the book

Author

Weiwei Chen , Robin Qiu , Hui Yang

Imprint

Springer

Collection

n.c

Publication date

2022-01-03

Pages

477 pages

Print ISBN

9783030751654

Language

English

Ebook informations

EAN PDF

9783030751661

Price

£199.50

Copy count 4

Print count 47

File size 13967 Ko

Informations accessibility

EAN EPUB

9783030751661

Price

£199.50

Copy count 4

Print count 47

File size 47749 Ko

Informations accessibility

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About author(s)

Weiwei Chen

Robin Qiu

Hui Yang

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.

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