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Dr. Jürg Meierhofer

Dr. Jürg Meierhofer

Dr. Jürg Meierhofer

ZHAW School of Engineering
Forschungsschwerpunkt Business Engineering and Operations Management
Technikumstrasse 81
8400 Winterthur

+41 (0) 58 934 40 52
juerg.meierhofer@zhaw.ch

Persönliches Profil

Tätigkeit an der ZHAW

Studienleiter Smart Service Engineering (CAS) und Industrie 4.0 (MAS)
Leiter Expert Group „Smart Serivces“ der data innovation alliance
Leiter Ressort "Innovation" im Schweizer Kundendienst Verband

Unterricht / Lehrtätigkeit in:
- CAS Smart Service Engineering (Data Product Design)
- MAS Industrie 4.0
- Service Operations Management
- Service Engineering Grundlagen
- Service Engineering Labor

www.zhaw.ch/de/engineering/institute-zentren/idp/forschungsthemen/data-driven-service-engineering/

Lehrtätigkeit in der Weiterbildung

Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse

- Quantitative Modelle für die Wertschöpfung in Service Ecosystemen
- Smart Service Engineering / Daten-getriebenes Service Design
- Service Operations und Management
- Service Simulation
- Digital Twin
- Servitization of manufacturing, Product Service Transformation, Services und Business Models für Industrie 4.0
- Industrie 4.0
- Service Science, Service Dominant Logic
- Innovation und Optimierung von Kundenservice

Aus- und Fortbildung

Dr. sc. techn. ETH, executive MBA (iimt)

Beruflicher Werdegang

- Die Mobiliar, head of department "Innovation Projects", senior management consultant
- Swisscom, head of department, head of service champion program, lean management
- Bluewin AG, project lead mobile, consultant
- Swisscom Mobile, technical project lead mobile services
- ETH Zürich, Wissenschaftlicher Mitarbeiter in internationalen Projekten (Mobilfunk)

Mitglied in Netzwerken

Projekte

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed
Buchbeiträge, peer-reviewed
Konferenzbeiträge, peer-reviewed
Weitere Publikationen
Mündliche Konferenzbeiträge und Abstracts

Publikationen vor Tätigkeit an der ZHAW

• U. P. Bernhard, J. Meierhofer, "Coded OFDM Transmission for High-Speed Wireless Access to ATM Networks", in Proc. of Wireless '96, Calgary, Canada, July 1996, pp. 102-115.
• J. Meierhofer, U. P. Bernhard, "Medium Access Control for Wireless Extensions of ATM Networks", in Proc. of IEEE Globecom '96, London, England, November 1996, pp. 29-33.
• J. Meierhofer, U. P. Bernhard, P. Balmelli, D. Bernasconi, "Priority Scheduling Algorithm for ATM Wireless Network Access", in Proc. of IEEE ICUPC '97, San Diego, USA, October 1997, pp. 289-294.
• J. Meierhofer, U. P. Bernhard, T. Hunziker, "Finite State Radio Channel Model for Indoor Wireless ATM Networks", in Proc. of IEEE ICT'98, Chalkidiki, Greece, June 1998, pp. 39-43.
• J. Meierhofer, "Data Link Control for Indoor Wireless ATM Networks", in Proc. of Wireless '98, Calgary, Canada, July 1998, pp. 517-525.
• J. Meierhofer, U. P. Bernhard, "Link Quality Control for Wireless ATM Networks", in Proc. of IEEE ICC'99, Vancouver, Canada, June 1999, pp. 1874-1879.
• J. Meierhofer, G. Fankhauser, "Error-Resilient, Tagged Video Stream Coding with Wireless Data Link Control", in Proc. of IEEE WPMC '99, Amsterdam, The Netherlands, September 1999, pp. 306-311.
• J. Meierhofer, “HYPERFLOW: An Efficient Error Control Protocol for Wireless Broadband Access Networks”, Wireless Personal Communications (WPC) 20 (2), pp. 189-203, February 2002.
• J. Meierhofer, “Fluid Flow Model and Queueing Analysis of an Error Control Scheme for Wireless Broadband Access Networks”, European Transactions on Telecommunications / AEI, 2003, pp. 269 ff.
• J. Meierhofer, A. Steiner, “Quantitative Assessment and Capacity Planning of Business Processes in the Service Sector”, Proceedings of the IPLnet 2004 Workshop, September 7-8, 2004, Murten, Switzerland, 2004.
• J. Meierhofer, C. Heitz, A. Steiner, “Simulation based case studies for management training in the fields of production and supply chain training”, Proceedings of the IPLnet 2004 Workshop, September 7-8, 2004, Murten, Switzerland, 2004.

Weitere Publikationen

- Studie: Grossunternehmen setzen auf Data Science – KMU zögern noch (https://www.zhaw.ch/de/engineering/ueber-uns/news/news/event-news/studie-grossunternehmen-setzen-auf-data-science-kmu-zoegern-noch/)
- Digitalisierung – Neue Erträge für KMU, Baubranche muss umdenken (SRF Eco):
www.srf.ch/play/tv/eco/video/digitalisierung&&