Towards Customer Outcome Management in Smart Manufacturing
Author:
Grefen Paul12ORCID, Vanderfeesten Irene3ORCID, Wilbik Anna4ORCID, Comuzzi Marco5ORCID, Ludwig Heiko6, Serral Estefania3ORCID, Kuitems Frank2, Blanken Menno2, Pietrasik Marcin4ORCID
Affiliation:
1. Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands 2. Eviden Digital Transformation Consulting, 1185 MC Amstelveen, The Netherlands 3. Faculty of Economics and Business, Katholieke Universiteit Leuven, 3000 Leuven, Belgium 4. Department of Advanced Computing Sciences, Maastricht University, 6211 LK Maastricht, The Netherlands 5. Ulsan National Institute of Science and Technology, Ulsan 44919, Republic of Korea 6. IBM Almaden Research Center, San Jose, CA 95120, USA
Abstract
The outcome economy is a relatively new economic and business paradigm that promotes focusing on the effects that the use of provided products and services create for customers in their markets, rather than focusing on these products or services themselves from the providers’ perspective. This paradigm has been embraced in various fields of business but has not yet been fully integrated with the concept of smart industry. To fill this gap, in this vision paper we provide a framework that does make this integration, showing the full structure of customer outcome management in smart manufacturing, from both business and digital technology perspectives. In applying this structure, a feedback loop is created that spans the markets of provider and customer and supports data-driven product evolution, manufacturing, and delivery. We propose a business reference framework that can be used as a blueprint for designing practical scenarios. We show how integrated digital support for such a scenario can be realized using a well-structured combination of technologies from the fields of the internet of things, business intelligence and federated learning, blockchain, and business process management. We illustrate all of this with a visionary case study inspired by industrial practice in the automotive domain. In doing so, we provide both an academic basis for the integration of several currently dispersed research fields that need to be integrated to further smart manufacturing towards outcome management and a practical basis for the well-structured design and implementation of customer outcome management business cases in smart manufacturing.
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering
Reference67 articles.
1. Accenture (2015). Accenture Technology Vision 2015, Accenture. 2. Connerty, M., Navales, E., Kenney, C., and Bhatia, T. (2016). Harvard Business Review, Harvard Business Publishing. 3. Grefen, P., Ludwig, H., Tata, S., Dijkman, R., Baracaldo, N., Wilbik, A., and D’Hondt, T. (2018, January 17–19). Complex Collaborative Physical Process Management: A Position on the Trinity of BPM, IoT and DA. Proceedings of the 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Cardiff, UK. 4. D’Hondt, T., Wilbik, A., Grefen, P., Ludwig, H., Baracaldo, N., and Anwar, A. (2019, January 22–25). Using BPM Technology to Deploy and Manage Distributed Analytics in Collaborative IoT-Driven Business Scenarios. Proceedings of the 9th International Conference on the Internet of Things, Bilbao, Spain. 5. Grefen, P. (2016). Beyond E-Business: Towards Networked Structures, Routledge.
|
|