Lukas Schweiger

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

+41 (0) 58 934 61 90
lukas.schweiger@zhaw.ch

Projects

End-to-End Data Driven Design of After-Sales-Services for Digital Cutters / Team member / Project ongoing
Development of the Waste Management Ecosystem based on a Smart Connected Product-Service-System (PSS) / Team member / Project completed
InnoEco / Team member / Project completed
Digital twin-based services to support decision making along the product lifecycle of capital equipment / Team member / Project completed

Publications

Articles in scientific journal, peer-reviewed

Schweiger, Lukas; Barth, Linard,

2023.

Properties and characteristics of digital twins : review of industrial definitions.

SN Computer Science.

4(5), pp. 436.

Available from: https://doi.org/10.1007/s42979-023-01937-4
Barth, Linard; Schweiger, Lukas; Galeno, Gianluca; Schaal, Nikolas; Ehrat, Matthias,

2023.

Value creation with digital twins : application-oriented conceptual framework and case study.

Applied Sciences.

13(6), pp. 3511.

Available from: https://doi.org/10.3390/app13063511
Meierhofer, Jürg; Schweiger, Lukas; Lu, Jinzhi; Züst, Simon; West, Shaun; Stoll, Oliver; Kiritsis, Dimitris,

2021.

Digital twin-enabled decision support services in industrial ecosystems.

Applied Sciences.

11(23), pp. 11418.

Available from: https://doi.org/10.3390/app112311418

Conference contributions, peer-reviewed

Meierhofer, Jürg; Benedech, Rodolfo Andres; Schweiger, Lukas,

2023.

Data driven decision support framework for industrial smart services design and operations [poster].

In:

Bigdeli, Ali Z.; Kohtamäki, Marko; Rabetino, Rodrigo; Baines, Tim, eds.,

The Role of Servitization in Grand Challenges.

Spring Servitization Conference (SSC), Helsinki, Finland, 8-9 May 2023.

Birmingham:

Aston University.

pp. 220-221.
Schweiger, Lukas; Meierhofer, Jürg; Barbieri, Cosimo; Rapaccini, Mario,

2022.

End-to-end digital twin approach for near-real-time decision support services [paper].

In:

West, Shaun; Meierhofer, Jürg; Mangla, Utpal, eds.,

Smart services summit : smart services supporting the new normal.

Fourth Smart Services Summit, Zurich, 22 October 2021.

Cham:

Springer.

pp. 67-75.

Progress in IS.

Available from: https://doi.org/10.1007/978-3-030-97042-0_7
Meierhofer, Jürg; Benedech, Rodolfo Andres; Schweiger, Lukas; Barbieri, Cosimo; Rapaccini, Mario,

2022.

Quantitative modelling of the value of data for manufacturing SMEs in smart service provision [paper].

In:

Le Dinh, Thắng; Drăgoicea, Monica, eds.,

International Conference on Exploring Service Science (IESS 2.2).

12th International Conference on Exploring Service Science, Geneva (virtual), 16-18 February 2022.

EDP Sciences.

pp. 04001.

ITM Web of Conferences ; 41.

Available from: https://doi.org/10.1051/itmconf/20224104001
Schweiger, Lukas; Benedech, Rodolfo Andres; Meierhofer, Jürg,

2022.

Development approach for value-creating service process twins based on service design methods [paper].

In:

IEEE DASC/PiCom/CBDCom/CyberSciTech 2022 Proceedings.

2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Falerna, Italy, 12-15 September 2022.

IEEE.

Available from: https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9928003
Meierhofer, Jürg; Züst, Simon; Lu, Jinzhi; Schweiger, Lukas; Kiritsis, Dimitris,

2021.

Enabling decision support services in industrial ecosystems by digital twins [paper].

In:

Bigdeli, Ali; Baines, Tim; Rapaccini, Mario; Saccani, Marco; Adrodegari, Federico, eds.,

Proceedings of the Spring Servitization Conference 2021.

Spring Servitization Conference 2021 : A Pathway Towards A Resilient, Productive And Sustainable Future, virtual, 10-12 May 2021.

Birmingham:

Aston University.

pp. 138-146.
Barth, Linard; Sarperi, Luciano; Dettling, Marcel; Meierhofer, Jürg; Bulatovic, Andjela; Schweiger, Lukas,

2021.

Development of a smart connected product-service-system (PSS) for the waste management ecosystem [paper].

In:

Mugellini, Elena; Carpanzano, Emanuele, eds.,

Proceedings of the 2nd FTAL Conference 2021 Sustainable Smart Cities and Regions.

FTAL Conference 2021 – Sustainable smart cities and regions, Lugano, Switzerland, 28-29 October 2021.

CEUR Workshop Proceedings.

Available from: https://doi.org/10.21256/zhaw-25014
Meierhofer, Jürg; Schweiger, Lukas; Schreuder, Lukas,

2021.

Digital twin based decision support services in business operations [paper].

In:

West, Shaun; Meierhofer, Jürg; Ganz, Christopher, eds.,

Smart services summit : digital as an enabler for smart service business development.

Third Smart Services Summit 2020, Zurich (online), 23 October - 23 December 2020.

Cham:

Springer.

pp. 117-129.

Progress in IS.

Available from: https://doi.org/10.1007/978-3-030-72090-2_11
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.
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.
Schweiger, Lukas; Barth, Linard; Meierhofer, Jürg,

2020.

Data resources to create digital twins [paper].

In:

Proceedings of the 7th SDS.

7th Swiss Conference on Data Science, Lucerne, Switzerland, 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.

Other publications

Zimmermann, Anja; Meierhofer, Jürg; von dem Berge, Karina; Schweiger, Lukas,

2021.

Servicekultur als Katalysator für Serviceinnovationen.

Service Today.

35(2), pp. 72-73.

Available from: https://doi.org/10.21256/zhaw-22653

go back