Dr. Jürg Meierhofer

Position at the ZHAW

Senior Lecturer Smart Service Engineering
Coordinator ZHAW platform industry 4.0
Lead expert group in Swiss Alliance for Data-Intensive Service
Topic lead Innovation at the Schweizer Kundendienst Verband (on the board of the association)

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

Professional development teaching

• MAS Industrie 4.0
• MAS Wirtschaftsingenieurwesen
• CAS Industrie 4.0 – von der Idee zur Umsetzung
• CAS Smart Service Engineering (Data Product Design)

Expertise and research interests

- Smart services,
- Data product design, data service design, data-intensive services,
- Digital Twin,
- Servitization, product service transformation, services and business models for Industry 4.0,
- Industry 4.0,
- Service engineering, service design, service innovation, Service Science, Service Dominant Logic,
- Service optimization, Kaizen in service, lean service,
- Innovation and optimization of customer service,
- Optimization and innovation of business processes, CIP, lean production,
- Corporate innovation management, corporate idea management

Educational background

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

Professional milestones

- La Mobilière, 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, research assistant in international projects (mobile communications)

Membership of networks

• data innovation alliance - Expert Group Smart Services
• Vorstand des Schweizer Kundendienst Verbandes
• Associate Member Digital Society Initiative University of Zurich
• IBH-Lab KMUdigital
• Arbeitsgruppe Smart Data Industrie 2025
• ETH Alumni
• iimt Alumni
• Researchgate
• ORCID
• ZHAW Plattform Industrie 4.0 (Coordinator)

• Design of human-machine interactions in autonomous digital service ecosystems (socio-technical systems) / Project leader / Project ongoing
• InnoEco / Project leader / Project ongoing
• DATA4Des – Teaching Data Product / Service Design / Project leader / Project completed
• Digital twin-based services to support decision making along the product lifecycle of capital equipment / Project leader / Project completed
• Data Science für KMU (Data4KMU) / Project leader / Project completed
• Studie "Perspektivenvielfalt" / Team member / Project completed
• IBH-Lab KMUdigital / Project leader / Project completed
• Koordination ZHAW Plattform Industrie 4.0 / Project leader / Project completed
• Nutzenbasierter Digitalisierungsnavigator (DigiNav) / Project leader / Project completed
• Complexity 4.0 / Project leader / Project completed

• Meierhofer, Jürg; Stadelmann, Thilo ; Cieliebak, Mark ,

  2019.

  Data products

  .

  In:

  Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds. ,

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  pp. 47-61.

  Available from : https://doi.org/10.1007/978-3-030-11821-1_4

• Hollenstein, Lukas ; Lichtensteiger, Lukas ; Stadelmann, Thilo ; Amirian, Mohammadreza ; Budde, Lukas; Meierhofer, Jürg; Füchslin, Rudolf Marcel ; Friedli, Thomas,

  2019.

  Unsupervised learning and simulation for complexity management in business operations

  .

  In:

  Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds. ,

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  pp. 313-331.

  Available from : https://doi.org/10.1007/978-3-030-11821-1_17

• Meierhofer, Jürg; Dobler, Martin; Frick, Klaus; Schweiger, Lukas ,

  2020.

  Smart service patterns for small manufacturing enterprises [ paper ].

  In:

  Bigdeli, Ali; Baines, Tim, eds. ,

  Proceedings of the Spring Servitization Conference : Advanced Services for Sustainability and Growth.

  Spring Servitization Conference "Advanced Services for Sustainability and Growth", Online, 14-16 September 2020.

  Birmingham:

  Aston University.

  pp. 88-95.

  Available from : https://www.advancedservicesgroup.co.uk/ssc2020-proceedings

• West, Shaun; Meierhofer, Jürg; Stoll, Oliver; Schweiger, Lukas ,

  2020.

  Value propositions enabled by digital twins in the context of servitization [ paper ].

  In:

  Bigdeli, Ali; Baines, Tim, eds. ,

  Proceedings of the Spring Servitization Conference : Advanced Services for Sustainability and Growth.

  Spring Servitization Conference "Advanced Services for Sustainability and Growth", Online, 14-16 September 2020.

  Birmingham:

  Aston University.

  pp. 152-160.

  Available from : https://www.advancedservicesgroup.co.uk/ssc2020-proceedings

• Meierhofer, Jürg; West, Shaun,

  2020.

  Data-driven decision support by digital twins in manufacturing [ paper ].

  In:

  Proceedings of the 7th Swiss Conference on Data Science (SDS 2020).

  2020 Swiss Conference on Data Science (SDS), Online, 26 June 2020.

  IEEE.

  pp. 53-54.

  Available from : https://doi.org/10.1109/SDS49233.2020.00019

• Meierhofer, Jürg; West, Shaun; Rapaccini, Mario; Barbieri, Cosimo,

  2020.

  The digital twin as a service enabler : from the service ecosystem to the simulation model [ paper ].

  In:

  Nóvoa, Henriqueta; Drăgoicea, Monica; Kühl, Niklas, eds. ,

  IESS 2020 : Exploring Service Science.

  10th International Conference on Exploring Service Science, Porto, Portugal, 5–7 February 2020.

  Cham:

  Springer.

  pp. 347-359.

  Lecture Notes in Business Information Processing ; 377.

  Available from : https://doi.org/10.1007/978-3-030-38724-2_25

• Schweiger, Lukas ; Barth, Linard ; Meierhofer, Jürg,

  2020.

  Data resources to create digital twins [ paper ].

  In:

  2020 7th Swiss Conference on Data Science (SDS 2020).

  7th Swiss Conference on Data Science (SDS 2020), Zürich, 26 June 2020.

  IEEE.

  pp. 55-56.

  Available from : https://doi.org/10.1109/SDS49233.2020.00020

• Schweiger, Lukas ; Meierhofer, Jürg,

  2019.

  Data-driven servitization of SMEs : assessment of success factors based on a multiple case study [ paper ].

  In:

  Servitization 2019: 8th International Conference on Business Servitization (ICBS 2019), November 21-22, 2019 : book of abstracts.

  8th International Conference on Business Servitization (ICBS), San Sebastian, Spain, November 21-22, 2019.

  OmniaScience.

  pp. 85-88.

• West, Shaun; Barbieri, Cosimo; Rapaccini, Mario; Meierhofer, Jürg,

  2019.

  Are practitioners and literature aligned about digital twin? [ paper ].

  In:

  Kovács, Gyöngyi; Kuula, Markku, eds. ,

  Operations adding value to society.

  26th EurOMA Conference, Helsinki, Finland, 17-19 June 2019.

  Helsinki:

  Aalto University Business School.

  pp. 2781-2790.

• Meierhofer, Jürg; Kugler, Petra; Etschmann, Roman,

  2019.

  Challenges and approaches with data-driven services for SMEs : insights from a field study [ paper ].

  In:

  Proceedings of the Spring Servitization Conference : Delivering Services Growth in the Digital Era.

  Spring Servitization Conference «Delivering Services Growth in the Digital Era», Linköping, Sweden, 13-15 May 2019.

  Birmingham:

  Aston University.

  pp. 39-49.

• Meierhofer, Jürg; West, Shaun,

  2019.

  Service value creation using a digital twin [ paper ].

  In:

  Naples Forum on Service, Service Dominant Logic, Network & Systems Theory and Service Science: Integrating Three Perspectives for a New Service Agenda, Ischia, Italy, 4-7 June 2019.

  Available from : http://www.naplesforumonservice.it/uploads/files/2018/Proceedings/NFS2019-Meierhofer-est.pdf

• Meierhofer, Jürg,

  2018.

  Data driven servitization for SMEs in manufacturing [ paper ].

  In:

  Proceedings of the Spring Servitization Conference : Driving Competition through Servitization.

  Spring Servitization Conference «Driving Competition through Servitization», Birmingham, United Kingdom, 14-16 May 2018.

• Meierhofer, Jürg; Herrmann, Anne,

  2018.

  End-to-end methodological approach for the data-driven design of customer-centered digital services [ paper ].

  In:

  Satzger, Gerhard; Patrício, Lia; Zaki, Mohamed; Kühl, Niklas; Hottum, Peter, eds. ,

  IESS 2018: Exploring Service Science.

  9th International Conference on Exploring Service Science (IESS 2018), Karlsruhe, Germany, 19-21 September 2018.

  Cham:

  Springer.

  pp. 208-218.

  Lecture notes in business information processing.

  Available from : https://doi.org/10.1007/978-3-030-00713-3_16

• Meierhofer, Jürg,

  2017.

  A design approach to service transformation in small firms [ paper ].

  In:

  Proceedings of the Spring Servitization Conference : Internationalisation through Servitization.

  Spring Servitization Conference «Internationalisation through Servitization», Lucerne, 15-17 May 2017.

  Birmingham:

  Aston University.

  pp. 69-75.

• Meierhofer, Jürg; Meier, Kevin,

  2017.

  From data science to value creation [ paper ].

  In:

  Za, Stefano; Drăgoicea, Monica; Cavallari, Maurizio, eds. ,

  Exploring Services Science : 8th International Conference, IESS 2017, Rome, Italy, May 24-26, 2017, Proceedings.

  8th International Conference (IESS 2017), Rome, Italy, 24-26 May 2017.

  Cham:

  Springer.

  pp. 173-181.

  Lecture notes in business information processing ; 279.

  Available from : https://doi.org/10.1007/978-3-319-56925-3_14

• Meierhofer, Jürg,

  2017.

  Service value creation using data science [ paper ].

  In:

  Gumesson, Evert; Mele, Cristina; Polese, Francesco, eds. ,

  Service Logic, Network and Systems Theory and Service Science: Integrating three Perspectives for a New Service Agenda.

  The 5th Naples Forum on Service, Sorrento, Naples, 6-9 June 2017.

  Tricase:

  Youcanprint Self-Publishing.

  Available from : http://www.naplesforumonservice.it/uploads//files/Meierhofer.pdf

• Meierhofer, Jürg; Homberger, Pascal,

  2020.

  Digitale Service Innovation in Wertschöpfungsnetzwerken : Anwendung im Getränkemarkt .

  Servicetoday.

  2020(4),

  pp. 78-79.

  Available from : https://doi.org/10.21256/zhaw-20827

• Meierhofer, Jürg,

  2020.

  Die Konvergenz von Digitalisierung und Servitisierung in der Industrie 4.0 .

  Aktuelle Technik.

  2020(8),

  pp. 32.

  Available from : https://doi.org/10.21256/zhaw-20432

• Meierhofer, Jürg; Heitz, Christoph ,

  2020.

  Data-Driven Management zur Steigerung des Kundennutzens .

  Netzwoche.

  2020(07),

  pp. 11.

  Available from : https://www.netzwoche.ch/news/2020-04-22/data-driven-management-zur-steigerung-des-kundennutzens

• Meierhofer, Jürg,

  2020.

  Data Science und Services

  .

  In:

  Meierhofer, Jürg; Kugler, Petra, eds. ,

  Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften, School of Engineering.

  pp. 69-79.

  Available from : http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu/file

• Meierhofer, Jürg; Etschmann, Roman; Dobler, Martin,

  2020.

  Data Science veranschaulichen : Demonstrator

  .

  In:

  Meierhofer, Jürg; Kugler, Petra, eds. ,

  Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften, School of Engineering.

  pp. 127-141.

  Available from : http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu/file

• Meierhofer, Jürg; Kugler, Petra, eds. ,

  2020.

  Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen .

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften, School of Engineering.

  Available from : http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu

• Meierhofer, Jürg,

  2019.

  Big Data und Machine Learning in Industrie 4.0 : Perspektiven für Service-Modelle .

  KunststoffXtra.

  9(12),

  pp. 19-21.

  Available from : https://issuu.com/sigwerbgmbh/docs/web_kx_12-2019/1?ff&showOtherPublicationsAsSuggestions=true&backgroundColorFullscreen=%23e8edf0

• Meierhofer, Jürg; Heinatz Bürki, Gundula; Heitz, Christoph ,

  2019.

  Data Science für KMU .

  Unternehmer Zeitung.

  25(10),

  pp. 20-23.

• Heitz, Christoph ; Heinatz Bürki, Gundula; Meierhofer, Jürg,

  2019.

  Zusammen in die Zukunft : fit für Data Science .

  KMU Rundschau.

  2019(2),

  pp. 34-35.

  Available from : https://issuu.com/prestigemedia/docs/kmurundschau_2019_02

• Meierhofer, Jürg; Lév, Jana,

  2019.

  Daten-basierter Service-Nutzen entlang der Customer Journey .

  Service Today.

  2019(2),

  pp. 86-87.

  Available from : https://doi.org/10.21256/zhaw-3243

• Meierhofer, Jürg,

  2019.

  Service Transformation und Service Engineering (AP3)

  .

  In:

  Thiel, Christian, ed. ,

  Nutzenbasierter Digitalisierungsnavigator : wie KMU ihre Digitalisierungsstrategie selbst entwickeln können.

  Konstanz:

  IBH-Lab KMUdigital.

  pp. 47-61.

  Available from : http://bzi40.eu/de/publikationen/tags/arbeitswelt/298-nutzenbasierter-digitalisierungsnavigator-wie-kmu-ihre-digitalisierungsstrategie-selbst-entwickeln-koennen

• Meierhofer, Jürg; Berliat, Roger,

  2019.

  Smart Service Innovation .

  Service Today.

  33(4),

  pp. 96-97.

  Available from : https://doi.org/10.21256/zhaw-18545

• Meierhofer, Jürg,

  2018.

  Herausforderungen, Chancen und Perspektiven mit Industrie 4.0 .

  Aktuelle Technik.

  2018(12),

  pp. 20-21.

  Available from : https://aktuelletechnik.blverlag.ch/herausforderungen-chancen-und-perspektiven-mit-industrie-4-0/

• Meierhofer, Jürg,

  2018.

  Datenbasierte Service-Innovation .

  Spot.on Marketing.

  Available from : http://www.spot-on-marketing.com/beitraege/daten-basierte-service-innovation/

• Meierhofer, Jürg; Heinatz, Gundula,

  2018.

  Wie sich die Dienstleistungswirtschaft durch Daten wandelt .

  SocietyByte: Wissenschaftsmagazin des BFH-Zentrums Digital Society.

  2018(24. Juli).

  Available from : https://doi.org/10.21256/zhaw-3949

• Meierhofer, Jürg,

  2018.

  Industrie 4.0 : Perspektiven durch neue Service-Modelle .

  Topsoft-Magazin.

  18(1),

  pp. 18-19.

  Available from : https://issuu.com/topsoft/docs/tsm18-1

• Meierhofer, Jürg; Lév, Jana,

  2016.

  Innovationshelfer Mensch, Papier, Schere : Innovation // Um erfolgreich disruptive Innovation zu schaffen, muss zuerst der strategische Fokus und das Ziel der Digitalisierung definiert werden. Entscheidend ist die Frage: Womit schaffen wir den grössten Mehrwert für Unternehmen und Kunden? .

  Computerworld.

  ,

  pp. 18-19.

• Meierhofer, Jürg; Steiner, Albert ,

  2004.

  Quantitative assessment and capacity planning of business processes in the service sector [ paper ].

  In:

  Automation and logistics for manufacturing in Switzerland.

  IPLnet 2004 Workshop, Automation and logistics for manufacturing in Switzerland, Murten, 7-8 September 2004.

  Brugg:

  FHNW Fachhochschule Nordwestschweiz.

• Meierhofer, Jürg; Heitz, Christoph ; Steiner, Albert ,

  2004.

  Simulation based case studies for management training in the fields of production and supply chain Management [ paper ].

  In:

  Automation and logistics for manufacturing in Switzerland.

  IPLnet 2004 Workshop, Automation and logistics for manufacturing in Switzerland, Murten, 7-8 September 2004.

  Brugg:

  FHNW Fachhochschule Nordwestschweiz.

  Available from : https://doi.org/10.21256/zhaw-1884

• Steiner, Albert ; Hosang, Jürg ; Meierhofer, Jürg,

  2004.

  Vehicular traffic data analysis and its benefits to prevent traffic congestion [ paper ].

  In:

  Proceedings of the IPLnet 2004 Workshop.

  IPLnet 2004 Workshop, Automation and logistics for manufacturing in Switzerland, Murten, 7-8 September 2004.

  IPLnet.

• Meierhofer, Jürg,

  2018.

  Challenges and approaches for product-service-transformation of SMEs .

  In:

  Servsig Proceedings : Opportunities for Services in a Challenging World.

  10th SERVSIG: «Opportunities for Services in a Challenging World», Paris, 14-16 June 2018.

  pp. 102-106.

  Available from : https://www.ieseg.fr/wp-content/uploads/2018/02/SERVSIG-2018-Proceedings.pdf

• 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.

Other contributions

- 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&&

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