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Springer Proceedings in Business and Economics

Smart Service Systems, Operations Management, and Analytics

Proceedings of the 2019 INFORMS International Conference on Service Science

Editors: Yang, Hui, Qiu, Robin, Chen, Weiwei (Eds.)

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  • Presents recent advances in using smart service systems, operations management, and/or analytics in service science research
  • Highlights emerging technology and state-of-the-art applications for service science
  • Includes service case studies written by scholars and practitioners worldwide
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eBook $169.00
price for USA in USD (gross)
  • ISBN 978-3-030-30967-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.99
price for USA in USD
  • ISBN 978-3-030-30966-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This volume offers state-of-the-art research in service science and its related research, education and practice areas. It showcases recent developments in smart service systems, operations management and analytics and their impact in complex service systems. The papers included in this volume highlight 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. The papers in this volume present methods to approach such technical challenges in service science and are based on top papers from the 2019 INFORMS International Conference on Service Science.

About the authors

Hui Yang is an Associate 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 a tenured full Professor of Information Science, teaches a variety of courses including Predictive Analytics, Management Science, Business Process Management, Decision Support Systems, Project Management, Enterprise Integration, Enterprise Service Computing, Software Engineering, Web-based Systems, Distributed Systems, Computer Architecture/SOA, Computer Security, Web Security, Operations Research, and System Engineering. 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 of Supply Chain Management in Rutgers Business School – Newark and New Brunswick at Rutgers University. Dr. Chen’s current research interest lies in operations and finance interface, as well as supply chain operations planning and scheduling. He also works on simulation and randomized global optimization methodologies. He has extensive experience working with businesses and public sectors to improve strategic decisions and operational efficiencies using data analytics. He has taught courses in optimization modeling, operations analysis, and lean six sigma.

Table of contents (35 chapters)

Table of contents (35 chapters)
  • Cleaning and Processing on the Electric Vehicle Telematics Data

    Pages 1-6

    Sun, Shuai (et al.)

  • Performance Analysis of a Security-Check System with Four Types of Inspection Channels for High-Speed Rail Stations in China

    Pages 7-16

    Wang, Chia-Hung (et al.)

  • LSTM-Based Neural Network Model for Semantic Search

    Pages 17-25

    Guo, Xiaoyu (et al.)

  • Research on the Evaluation of Electric Power Companies’ Safety Capabilities Based on Grey Fixed Weight Clustering

    Pages 27-39

    Wang, Yijing (et al.)

  • Analysis of Crude Oil Price Fluctuation and Transition Characteristics at Different Timescales Based on Complex Networks

    Pages 41-53

    Yan, Jiao (et al.)

Buy this book

eBook $169.00
price for USA in USD (gross)
  • ISBN 978-3-030-30967-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.99
price for USA in USD
  • ISBN 978-3-030-30966-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Smart Service Systems, Operations Management, and Analytics
Book Subtitle
Proceedings of the 2019 INFORMS International Conference on Service Science
Editors
  • Hui Yang
  • Robin Qiu
  • Weiwei Chen
Series Title
Springer Proceedings in Business and Economics
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-30967-1
DOI
10.1007/978-3-030-30967-1
Hardcover ISBN
978-3-030-30966-4
Series ISSN
2198-7246
Edition Number
1
Number of Pages
VIII, 403
Number of Illustrations
28 b/w illustrations, 92 illustrations in colour
Topics