Abstract
Numerous companies in manufacturing industries have “servitized” their value propositions to address issues on product commoditization and sustainability. A key component of servitization is informatics, which transforms product and customer data into information for customers. In this study, informatics-based service is defined as a type of service wherein informatics is crucial to customer value creation. Despite the importance of this concept, studies on the design of informatics-based services in manufacturing industries are rare. This paper reports on two case studies on such designs. Informatics-based services have been designed for a major Korean automobile manufacturer and the Korea Transportation Safety Authority (TS) based on their large vehicle-related databases. The first case study with the automobile manufacturer aims to design vehicle operations and health management services for passenger vehicle drivers while the second study with TS focuses on the design of driving safety enhancement services for commercial vehicle (i.e., bus, taxi, and truck) drivers. Based on the case studies, this paper discusses various aspects of informatics-based service design in manufacturing industries. This study would assist researchers and practitioners in designing new informatics-based services and contribute to promoting and inspiring research on intelligent services in manufacturing industries under the current information economy.
Similar content being viewed by others
References
Akter, S., D’Ambra, J., & Ray, P. (2013). Development and validation of an instrument to measure user perceived service quality of mHealth. Information & Management, 50(4), 181–195.
Baines, T. S., Lightfoot, H. W., Evans, S., Neely, A., Greenough, R., Peppard, J., et al. (2007). State-of-the-art in product–service systems. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221(10), 1543–1552.
Bettencourt, L. (2010). Service innovation: How to go from customer needs to breakthrough services. London: McGraw-Hill.
Boehm, M., & Thomas, O. (2013). Looking beyond the rim of one’s teacup: A multidisciplinary literature review of product-service systems in information systems, business management, and engineering & design. Journal of Cleaner Production, 51, 245–260.
Booch, G., Rumbaugh, J., & Jacobson, I. (2005). The unified modeling language user guide. New Delhi: Pearson Education.
Cavalieri, S., & Pezzotta, G. (2012). Product–service systems engineering: State of the art and research challenges. Computers in Industry, 63(4), 278–288.
Chai, K. H., Zhang, J., & Tan, K. C. (2005). A TRIZ-based method for new service design. Journal of Service Research, 8(1), 48–66.
Chien, C., Chang, K., & Wang, W. (2014). An empirical study of design-of-experiment data mining for yield-loss diagnosis for semiconductor manufacturing. Journal of Intelligent Manufacturing, 25, 961–972.
Ding, K., Jiang, P., & Zheng, M. (2015). Environmental and economic sustainability-aware resource service scheduling for industrial product service systems. Journal of Intelligent Manufacturing. doi:10.1007/s10845-015-1051-7.
Erl, T. (2004). Service-oriented architecture: A field guide to integrating XML and web services. New Jersey: Prentice Hall PTR.
Fisher, C., & Schutta, J. (2003). Developing new services. Milwaukee: ASQ Quality Press.
Glushko, R. J. (2010). Seven contexts for service system design. In P. P. Maglio, C. A. Kieliszewski, J. Spohrer (Eds.), Handbook of service science (pp. 219–249). New York: Springer.
Goldstein, S. M., Johnston, R., Duffy, J., & Rao, J. (2002). The service concept: The missing link in service design research? Journal of Operations Management, 20(2), 121–134.
Guo, F., & Fang, Y. (2013). Individual driver risk assessment using naturalistic driving data. Accident Analysis & Prevention, 61, 3–9.
Ki, S., Kim, D., & Kim, H. (2010). Research on the insurance program of pay as you drive. Korea Insurance Research Institute report.
Kim, K. J., & Meiren, T. (2010). New service development process. Introduction to Service Engineering. doi:10.1002/9780470569627.
Kim, K. J., Lim, C. H., Lee, D. H., Lee, J., Hong, Y. S., & Park, K. (2012). A concept generation support system for product–service system development. Service Science, 4(4), 349–364.
Kim, K. J., Lim, C. H., Heo, J. Y., Lee, D. H., Hong, Y. S., & Park, K. (2015). An evaluation scheme for product–service system models: Development of evaluation criteria and case studies. Service Business. doi:10.1007/s11628-015-0280-3.
Kim, K. J., Min, D. K., Yook, J., Park, J., Lee, J., Choi, J., et al. (2006). Development of customer-centered convergence service concepts: A systematic framework and a case study in telecommunications industry. IE Interfaces, 19(2), 140–152.
Kuo, T. C. (2013). Mass customization and personalization software development: A case study eco-design product service system. Journal of Intelligent Manufacturing, 24, 1019–1031.
Ladhari, R. (2010). Developing e-service quality scales: A literature review. Journal of Retailing and Consumer Services, 17(6), 464–477.
Lee, J., Kao, H. A., & Yang, S. (2014). Service innovation and smart analytics for industry 4.0 and big data environment. Procedia CIRP, 16, 3–8.
Lee, S., Geum, Y., Lee, H., & Park, Y. (2012). Dynamic and multidimensional measurement of product–service system (PSS) sustainability: A triple bottom line (TBL)-based system dynamics approach. Journal of Cleaner Production, 32, 173–182.
Lim, C. H., & Kim, K. J. (2014). Information service blueprint: A service blueprinting framework for information-intensive services. Service Science, 6(4), 296–312.
Lim, C. H., & Kim, K. J. (2015). IT-enabled information-intensive services. IT Professional, 17(2), 26–32.
Lim, C. H., Kim, K. J., Hong, Y. S., & Park, K. (2012). PSS board: A structured tool for product–service system process visualization. Journal of Cleaner Production, 37, 42–53.
Mehta, P., Werner, A., & Mears, L. (2015). Condition based maintenance-systems integration and intelligence using Bayesian classification and sensor fusion. Journal of Intelligent Manufacturing, 26, 331–346.
Mont, O. K. (2002). Clarifying the concept of product–service system. Journal of Cleaner Production, 10(3), 237–245.
Mortada, M.-A., Yacout, S., & Lakis, A. (2014). Fault diagnosis in power transformers using multi-class logical analysis of data. Journal of Intelligent Manufacturing, 25, 1429–1439.
Neely, A. (2007). The servitization of manufacturing: An anlsysis of global trends. 14th European Operations Management Association.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.
Reinartz, W., & Ulaga, W. (2008). How to sell services more profitably. Harvard Business Review, 86(5), 90.
Rothenberg, S. (2007). Sustainability through servicizing. MIT Sloan Management Review, 48(2), 83–91.
Saarijärvi, H., Grönroos, C., & Kuusela, H. (2014). Reverse use of customer data: Implications for service-based business models. Journal of Services Marketing, 28(7), 529–537.
Sakao, T., & Shimomura, Y. (2007). Service engineering: A novel engineering discipline for producers to increase value combining service and product. Journal of Cleaner Production, 15(6), 590–604.
Scheuing, E. E., & Johnson, E. M. (1989). A proposed model for new service development. Journal of Services marketing, 3(2), 25–34.
Schumann, J. H., Wünderlich, N. V., & Wangenheim, F. (2012). Technology mediation in service delivery: A new typology and an agenda for managers and academics. Technovation, 32(2), 133–143.
Schwabacher, M., & Goebel, K. (2007). A survey of artificial intelligence for prognostics. In AAAI fall symposium, Arlington, VA, pp. 107–114. http://www.aaai.org/Papers/Symposia/Fall/2007/FS-07-02/FS07-02-016.pdf.
Shokohyar, S., Mansour, S., & Karimi, B. (2014). A model for integrating services and product EOL management in sustainable product service system (S-PSS). Journal of Intelligent Manufacturing, 25, 427–440.
Tukker, A. (2004). Eight types of product–service system: Eight ways to sustainability? Experiences from SusProNet. Business strategy and the environment, 13(4), 246–260.
Tukker, A. (2015). Product services for a resource-efficient and circular economy–A review. Journal of Cleaner Production, 97, 76–91.
Tukker, A., & Tischner, U. (2006). Product-services as a research field: Past, present and future. Reflections from a decade of research. Journal of Cleaner Production, 14(17), 1552–1556.
White, S. A. (2004). Introduction to BPMN. Technical report, BPTrends.
Zhang, Z., Wang, Y., & Wang, K. (2013). Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural network. Journal of Intelligent Manufacturing, 24, 1213–1227.
Zine, P. U., Kulkarni, M. S., Ray, A. K., & Chawla, R. (2014). Designing flexible service systems: Application to machine tools. Journal of Intelligent Manufacturing. doi:10.1007/s10845-014-0947-y.
Zomerdijk, L. G., & Voss, C. A. (2010). Service design for experience-centric services. Journal of Service Research, 13(1), 67–82.
Acknowledgments
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT, and Future Planning (NRF-2014R1A1A1005356 and NRF-2014R1A2A2A03003387).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lim, CH., Kim, MJ., Heo, JY. et al. Design of informatics-based services in manufacturing industries: case studies using large vehicle-related databases. J Intell Manuf 29, 497–508 (2018). https://doi.org/10.1007/s10845-015-1123-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10845-015-1123-8