Smart Technician Planning (STEP)

Objective

Englisch: Cyber-physical production systems and digitalization of the value chain in scope of “Industrie 4.0“ create data volumes that can now be analyzed with BigData and SmartData technologies. This creates new opportunities to raise predictive information e.g. about optimal maintenance schedules and enables improved service performance. To comprehensively perceive the benefits of predictive maintenance in services and archive economically optimal use, the value chain of industrial services must be considered as a whole. This is especially interesting, as such services are time and cost intensive and new business models with flat fees (“full service“) are increasingly in demand. STEP is concerned with cost efficient and ideal economic planning of such maintenance services. Based on a to be created vision of industrial services and maintenance in the age of industrie 4.0 new business models, required methods and information demand will be derived, which leads to an economical optimal service plan. STEP will develop technologies, which support innovative planning practices and the provision of assignment related information for the service technician of the future.

Deutsch: Mit der Realisierung cyber-physischer Produktionssysteme im Rahmen der „Industrie 4.0“ werden zunehmend Daten erhoben, die mit der Reifung der Big und Smart Data Technologien handhabbar und analysierbar geworden sind. Gleichzeitig kann durch gebrauchsorientierte Wartung ein gezielt geplanter (d.h. präventiver) Einsatz von Servicetechnikern drohende Ausfälle von Produktionsanlagen kostengünstig vermeiden bzw. deren Konsequenzen abmildern.
In diesem Projekt werden sowohl die technischen Grundlagen als auch zukünftige Geschäftsmodelle und rechtliche Rahmenbedingungen für eine durchgehende datengetriebene Wartung entwickelt. Durch die Nutzung semantischer Informationsmodelle wird eine integrierte, internetbasierte Infrastruktur und Plattform erarbeitet. Damit werden die Grundlagen für eine optimale Einsatzplanung und einer kontextgebundenen Informationsbereitstellung gelegt und prototypisch umgesetzt.

 

Funding

BMWi

 

Duration

01.03.2016 – 01.03.2019

 

Webseite

https://www.projekt-step.de/de/

 

Partner

fls Heidelberger Druckmaschinen KIT (ZAR, KSRI) USU Trumpf

Involved DSI Researchers

 

Publications


2020
Conference Papers
Enabling System-Oriented Service Delivery in Industrial Maintenance: A Meta-method for Predicting Industrial Costs of Downtime
Wolff, C.; Kühl, N.; Satzger, G.
2020. International Conference on Exploring Services Science, Porto, Portugal, 5 - 7 Februar 2020. Ed.: H. Nóvoa, 92–106, Springer International Publishing. doi:10.1007/978-3-030-38724-2_7
2019
Conference Papers
Analyzing the Impact of Strategic Behavior in System-Oriented Service Delivery
Wolff, C.; Kimbrough, S. O.; Kühl, N.
2019. 40th International Conference on Information Systems (ICIS 2019), München, 15.-18. Dezember 2019, AIS eLibrary (AISeL)
Redesigning Service Operations for the Digital World: Towards Automated and Data-driven Field Service Planning
Vössing, M.
2019. ECIS 2019 proceedings . 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. Research Papers, Association for Information Systems (AIS)
Designing Useful Transparency to Improve Process Performance - Evidence from an Automated Production Line
Vössing, M.; Potthoff, F.; Kühl, N.; Satzger, G.
2019. ECIS 2019 proceedings . 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. Research Papers, Association for Information Systems (AIS)
On the Impact of the Customer Base on the Added Value through System-Oriented Service Delivery in Industrial Maintenance [in press]
Wolff, C.; Reuter-Oppermann, M.; Kühl, N.
2019. Hawaii International Conference on System Sciences (HICSS-52), Grand Wailea, Maui, Hawaii, January 8-11, 2019
2018
Conference Papers
Towards Enabling Cyber-Physical Systems in Brownfield Environments: Leveraging Environmental Information to Derive Virtual Representations of Unconnected Assets
Bader, S. R.; Wolff, C.; Vössing, M.; Schmidt, J.-P.
2018. 9th International Conference on Exploring Service Science, IESS 2018; Karlsruhe; Germany; 19 September 2018 through 21 September 2018, 165–176, Springer. doi:10.1007/978-3-030-00713-3_13
Digitalization of Field Service Planning: The Role of Organizational Knowledge and Decision Support Systems
Vössing, M.; Wolff, C.; Reinerth, V.
2018. Exploring Service Science : 9th International Conference, IESS 2018, Karlsruhe, Germany, September 19–21, 2018, Proceedings. Ed.: G. Satzger, 138–150, Springer International Publishing. doi:10.1007/978-3-030-00713-3_11
A Framework for the Simulation-Based Estimation of Downtime Costs
Wolff, C.; Vössing, M.
2018. Exploring Service Science. 9th International Conference (IESS 2018), Karlsruhe, 19. - 21. September 2018. Hrsg.: G. Satzger, 247–260, Springer. doi:10.1007/978-3-030-00713-3 _ 19
Using Monte-Carlo Simulation to Measure the Business-Relevant Impact of Planning Uncertainty on Field Service Delivery
Wolff, C.; Vössing, M.; Kühl, N.
2018. Proceedings of the 2018 Winter Simulation Conference, December 9-12 Gothenburg, Sweden
System-Oriented Service Delivery: The Application of Service System Engineering to Service Delivery
Wolff, C.; Kühl, N.; Satzger, G.
2018. 26th European Conference on Information Systems: Beyond Digitization - Facets of Socio-Technical Change, ECIS 2018, Portsmouth, UK, June 23-28, 2018. Ed.: U. Frank, Code 143975
Towards a Technician Marketplace using Capacity-Based Pricing
Wolff, C.; Vössing, M.; Schmitz, B.; Fromm, H.
2018. Hawaii International Conference on System Sciences (HICSS-51), Waikoloa Village, Hawaii, United States, 3rd - 6th January 2018
2017
Conference Papers
Supporting the Dispatching Process for Maintenance Technicians in Industry 4.0
Bader, S.; Vössing, M.; Wolff, C.; Walk, J.; Maleshkova, M.
2017. Tagungsband der 9. Konferenz Professionelles Wissensmanagement (Professional Knowledge Management), WM 2017, Karlsruhe, Germany, April 5-7, 2017. Hrsg.: Y. Sure-Vetter, 131–136, RWTH Aachen
Towards Managing Complexity and Uncertainty in Field Service Technician Planning
Vössing, M.
2017. Proceedings of the 19th IEEE Conference on Business Informatics, CBI 2017, Thessaloniki, Greece, 24th July - 27th July 2017, 312–319, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI.2017.50
Presentations
Simulation-based Estimation of Downtime Costs
Wolff, C.; Vössing, M.
2017. International Conference on Operations Research (OR 2017), Berlin, Germany, September 6–8, 2017