A DATA-DRIVEN APPROACH TO DESIGNING NEW SERVICES FOR VEHICLE OPERATIONS MANAGEMENT

Authors

  • Min-Jun Kim POSTECH
  • Chiehyeon Lim Ulsan National Institute of Science and Technology
  • Kwang-Jae Kim POSTECH

DOI:

https://doi.org/10.23055/ijietap.2018.25.5.3689

Abstract

Various types and massive amounts of data are collected in the automotive industry. Such data proliferation facilitates and improves the design of services for vehicle operations management (VOM). A VOM service is a service that helps drivers drive safely, conveniently, and pleasurably with the use of VOM-related data. Despite the applicability of big data to VOM service design, few efforts have been made to establish a big data-based design process for VOM services. To fill the research gap, this study proposes an approach to analyzing and utilizing VOM-related data for designing VOM services. The proposed approach aids service designers in designing VOM services by using VOM-related data. A case study on the design of an eco-driving service, a popular VOM service, is presented to demonstrate the feasibility and effectiveness of the approach. The proposed approach could facilitate the design of VOM services and provide a foundation for data-driven service innovations.

Author Biographies

Chiehyeon Lim, Ulsan National Institute of Science and Technology

Assistant Professor 

School of Management Engineering

Kwang-Jae Kim, POSTECH

Professor

Department of Industrial and Management Engineering

Published

2019-01-03

How to Cite

Kim, M.-J., Lim, C., & Kim, K.-J. (2019). A DATA-DRIVEN APPROACH TO DESIGNING NEW SERVICES FOR VEHICLE OPERATIONS MANAGEMENT. International Journal of Industrial Engineering: Theory, Applications, and Practice, 25(5). https://doi.org/10.23055/ijietap.2018.25.5.3689

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