---
_id: '29380'
abstract:
- lang: eng
text: Cyber-physical systems generate and collect huge amounts of usage data during
operation. Analyzing these data may enable manufacturing companies to identify
weaknesses and learn about the users of their products. Such insights are valuable
in the early phases of product development like product planning, as they facilitate
decision-making for product improvement. The analysis and exploitation of usage
data in product planning, however, is a new task for manufacturing companies.
To reduce mistakes and improve the results, companies should build upon a suitable
reference process model. Unfortunately, established models for analyzing data
cannot be easily applied for product planning. In this paper, we propose a reference
process model for usage data-driven product planning. It builds on three well-established
models for analyzing data and addresses the unique characteristics of usage data-driven
product planning. Finally, we customize the model for a manufacturing company
and demonstrate how it could be implemented in practice.
author:
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Ingrid
full_name: Wiederkehr, Ingrid
id: '38169'
last_name: Wiederkehr
- first_name: Melina
full_name: Panzner, Melina
id: '72658'
last_name: Panzner
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Meyer M, Wiederkehr I, Panzner M, Koldewey C, Dumitrescu R. A Reference Process
Model for Usage Data-Driven Product Planning. In: Proceedings of the 55th Hawaii
International Conference on System Sciences. ; 2022:6105-6114.'
apa: Meyer, M., Wiederkehr, I., Panzner, M., Koldewey, C., & Dumitrescu, R.
(2022). A Reference Process Model for Usage Data-Driven Product Planning. Proceedings
of the 55th Hawaii International Conference on System Sciences, 6105–6114.
bibtex: '@inproceedings{Meyer_Wiederkehr_Panzner_Koldewey_Dumitrescu_2022, title={A
Reference Process Model for Usage Data-Driven Product Planning}, booktitle={Proceedings
of the 55th Hawaii International Conference on System Sciences}, author={Meyer,
Maurice and Wiederkehr, Ingrid and Panzner, Melina and Koldewey, Christian and
Dumitrescu, Roman}, year={2022}, pages={6105–6114} }'
chicago: Meyer, Maurice, Ingrid Wiederkehr, Melina Panzner, Christian Koldewey,
and Roman Dumitrescu. “A Reference Process Model for Usage Data-Driven Product
Planning.” In Proceedings of the 55th Hawaii International Conference on System
Sciences, 6105–14, 2022.
ieee: M. Meyer, I. Wiederkehr, M. Panzner, C. Koldewey, and R. Dumitrescu, “A Reference
Process Model for Usage Data-Driven Product Planning,” in Proceedings of the
55th Hawaii International Conference on System Sciences, 2022, pp. 6105–6114.
mla: Meyer, Maurice, et al. “A Reference Process Model for Usage Data-Driven Product
Planning.” Proceedings of the 55th Hawaii International Conference on System
Sciences, 2022, pp. 6105–14.
short: 'M. Meyer, I. Wiederkehr, M. Panzner, C. Koldewey, R. Dumitrescu, in: Proceedings
of the 55th Hawaii International Conference on System Sciences, 2022, pp. 6105–6114.'
conference:
name: 55th Hawaii International Conference on System Sciences
date_created: 2022-01-18T07:53:00Z
date_updated: 2022-02-21T10:40:35Z
department:
- _id: '563'
language:
- iso: eng
page: 6105-6114
publication: Proceedings of the 55th Hawaii International Conference on System Sciences
publication_status: published
status: public
title: A Reference Process Model for Usage Data-Driven Product Planning
type: conference
user_id: '77201'
year: '2022'
...
---
_id: '33705'
abstract:
- lang: eng
text: AbstractThe ongoing digitalization of products
offers product managers new potentials to plan future product generations based
on data from the use phase instead of assumptions. However, product managers often
face difficulties in identifying promising opportunities for analyzing use phase
data. In this paper, we propose a method for planning the analysis of use phase
data in product planning. It leads product managers from the identification of
promising investigation needs to the derivation of specific use cases. The application
of the method is shown using the example of a manufacturing company.
author:
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Ingrid
full_name: Wiederkehr, Ingrid
id: '38169'
last_name: Wiederkehr
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Meyer M, Wiederkehr I, Koldewey C, Dumitrescu R. Planning the Analysis of Use
Phase Data in Product Planning. Proceedings of the Design Society. 2022;2:753-762.
doi:10.1017/pds.2022.77
apa: Meyer, M., Wiederkehr, I., Koldewey, C., & Dumitrescu, R. (2022). Planning
the Analysis of Use Phase Data in Product Planning. Proceedings of the Design
Society, 2, 753–762. https://doi.org/10.1017/pds.2022.77
bibtex: '@article{Meyer_Wiederkehr_Koldewey_Dumitrescu_2022, title={Planning the
Analysis of Use Phase Data in Product Planning}, volume={2}, DOI={10.1017/pds.2022.77},
journal={Proceedings of the Design Society}, publisher={Cambridge University Press
(CUP)}, author={Meyer, Maurice and Wiederkehr, Ingrid and Koldewey, Christian
and Dumitrescu, Roman}, year={2022}, pages={753–762} }'
chicago: 'Meyer, Maurice, Ingrid Wiederkehr, Christian Koldewey, and Roman Dumitrescu.
“Planning the Analysis of Use Phase Data in Product Planning.” Proceedings
of the Design Society 2 (2022): 753–62. https://doi.org/10.1017/pds.2022.77.'
ieee: 'M. Meyer, I. Wiederkehr, C. Koldewey, and R. Dumitrescu, “Planning the Analysis
of Use Phase Data in Product Planning,” Proceedings of the Design Society,
vol. 2, pp. 753–762, 2022, doi: 10.1017/pds.2022.77.'
mla: Meyer, Maurice, et al. “Planning the Analysis of Use Phase Data in Product
Planning.” Proceedings of the Design Society, vol. 2, Cambridge University
Press (CUP), 2022, pp. 753–62, doi:10.1017/pds.2022.77.
short: M. Meyer, I. Wiederkehr, C. Koldewey, R. Dumitrescu, Proceedings of the Design
Society 2 (2022) 753–762.
date_created: 2022-10-13T07:46:43Z
date_updated: 2022-10-13T07:52:40Z
department:
- _id: '563'
doi: 10.1017/pds.2022.77
intvolume: ' 2'
language:
- iso: eng
page: 753-762
publication: Proceedings of the Design Society
publication_identifier:
issn:
- 2732-527X
publication_status: published
publisher: Cambridge University Press (CUP)
status: public
title: Planning the Analysis of Use Phase Data in Product Planning
type: journal_article
user_id: '77201'
volume: 2
year: '2022'
...
---
_id: '33708'
abstract:
- lang: eng
text: The megatrend digitalization turns mechatronic products into continuous collectors
and generators of use phase data. By analyzing this data, manufacturers can uncover
valuable insights about the products and the users. Especially in product planning,
these insights could be used to plan promising future product generations. The
systematic exploitation of data analytics results, however, represents a serious
challenge, as research on the topic is still scarce. In this paper, we present
13 design principles for exploiting data analytics results in product planning.
The results are based on a systematic literature review and a workshop with a
research consortium. The evaluation of the design principles is demonstrated with
a real case of a manufacturing company. The identified design principles represent
a first contribution to a still scarcely explored research field.
author:
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Timm
full_name: Fichtler, Timm
id: '66731'
last_name: Fichtler
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Meyer M, Fichtler T, Koldewey C, Dumitrescu R. How can Data Analytics Results
be Exploited in the Early Phase of Product Development? 13 Design Principles for
Data-Driven Product Planning. In: AMCIS 2022 Proceedings. ; 2022.'
apa: Meyer, M., Fichtler, T., Koldewey, C., & Dumitrescu, R. (2022). How can
Data Analytics Results be Exploited in the Early Phase of Product Development?
13 Design Principles for Data-Driven Product Planning. AMCIS 2022 Proceedings.
AMCIS 2022, Minneapolis.
bibtex: '@inproceedings{Meyer_Fichtler_Koldewey_Dumitrescu_2022, place={Minneapolis},
title={How can Data Analytics Results be Exploited in the Early Phase of Product
Development? 13 Design Principles for Data-Driven Product Planning}, booktitle={
AMCIS 2022 Proceedings}, author={Meyer, Maurice and Fichtler, Timm and Koldewey,
Christian and Dumitrescu, Roman}, year={2022} }'
chicago: Meyer, Maurice, Timm Fichtler, Christian Koldewey, and Roman Dumitrescu.
“How Can Data Analytics Results Be Exploited in the Early Phase of Product Development?
13 Design Principles for Data-Driven Product Planning.” In AMCIS 2022 Proceedings.
Minneapolis, 2022.
ieee: M. Meyer, T. Fichtler, C. Koldewey, and R. Dumitrescu, “How can Data Analytics
Results be Exploited in the Early Phase of Product Development? 13 Design Principles
for Data-Driven Product Planning,” presented at the AMCIS 2022, Minneapolis, 2022.
mla: Meyer, Maurice, et al. “How Can Data Analytics Results Be Exploited in the
Early Phase of Product Development? 13 Design Principles for Data-Driven Product
Planning.” AMCIS 2022 Proceedings, 2022.
short: 'M. Meyer, T. Fichtler, C. Koldewey, R. Dumitrescu, in: AMCIS 2022 Proceedings,
Minneapolis, 2022.'
conference:
location: Minneapolis
name: AMCIS 2022
date_created: 2022-10-13T07:51:09Z
date_updated: 2022-10-13T07:51:15Z
department:
- _id: '563'
language:
- iso: eng
place: Minneapolis
publication: ' AMCIS 2022 Proceedings'
publication_status: published
status: public
title: How can Data Analytics Results be Exploited in the Early Phase of Product Development?
13 Design Principles for Data-Driven Product Planning
type: conference
user_id: '77201'
year: '2022'
...
---
_id: '33707'
author:
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Melina
full_name: Panzner, Melina
id: '72658'
last_name: Panzner
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Meyer M, Panzner M, Koldewey C, Dumitrescu R. 17 Use Cases for Analyzing Use
Phase Data in Product Planning of Manufacturing Companies. Procedia CIRP.
2022;107:1053-1058. doi:10.1016/j.procir.2022.05.107
apa: Meyer, M., Panzner, M., Koldewey, C., & Dumitrescu, R. (2022). 17 Use Cases
for Analyzing Use Phase Data in Product Planning of Manufacturing Companies. Procedia
CIRP, 107, 1053–1058. https://doi.org/10.1016/j.procir.2022.05.107
bibtex: '@article{Meyer_Panzner_Koldewey_Dumitrescu_2022, title={17 Use Cases for
Analyzing Use Phase Data in Product Planning of Manufacturing Companies}, volume={107},
DOI={10.1016/j.procir.2022.05.107},
journal={Procedia CIRP}, publisher={Elsevier BV}, author={Meyer, Maurice and Panzner,
Melina and Koldewey, Christian and Dumitrescu, Roman}, year={2022}, pages={1053–1058}
}'
chicago: 'Meyer, Maurice, Melina Panzner, Christian Koldewey, and Roman Dumitrescu.
“17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing
Companies.” Procedia CIRP 107 (2022): 1053–58. https://doi.org/10.1016/j.procir.2022.05.107.'
ieee: 'M. Meyer, M. Panzner, C. Koldewey, and R. Dumitrescu, “17 Use Cases for Analyzing
Use Phase Data in Product Planning of Manufacturing Companies,” Procedia CIRP,
vol. 107, pp. 1053–1058, 2022, doi: 10.1016/j.procir.2022.05.107.'
mla: Meyer, Maurice, et al. “17 Use Cases for Analyzing Use Phase Data in Product
Planning of Manufacturing Companies.” Procedia CIRP, vol. 107, Elsevier
BV, 2022, pp. 1053–58, doi:10.1016/j.procir.2022.05.107.
short: M. Meyer, M. Panzner, C. Koldewey, R. Dumitrescu, Procedia CIRP 107 (2022)
1053–1058.
date_created: 2022-10-13T07:48:02Z
date_updated: 2022-10-13T07:53:45Z
department:
- _id: '563'
doi: 10.1016/j.procir.2022.05.107
intvolume: ' 107'
keyword:
- General Medicine
language:
- iso: eng
page: 1053-1058
publication: Procedia CIRP
publication_identifier:
issn:
- 2212-8271
publication_status: published
publisher: Elsevier BV
status: public
title: 17 Use Cases for Analyzing Use Phase Data in Product Planning of Manufacturing
Companies
type: journal_article
user_id: '77201'
volume: 107
year: '2022'
...
---
_id: '30193'
abstract:
- lang: eng
text: The successful planning of future product generations requires reliable insights
into the actual products’ problems and potentials for improvement. A valuable
source for these insights is the product use phase. In practice, product planners
are often forced to work with assumptions and speculations as insights from the
use phase are insufficiently identified and documented. A new opportunity to address
this problem arises from the ongoing digitalization that enables products to generate
and collect data during their utilization. Analyzing these data could enable their
manufacturers to generate and exploit insights concerning product performance
and user behavior, revealing problems and potentials for improvement. However,
research on analyzing use phase data in product planning of manufacturing companies
is scarce. Therefore, we conducted an exploratory interview study with decision-makers
of eight manufacturing companies. The result of this paper is a detailed description
of the potentials and challenges that the interviewees associated with analyzing
use phase data in product planning. The potentials explain the intended purpose
and generic application examples. The challenges concern the products, the data,
the customers, the implementation, and the employees. By gathering the potentials
and challenges through expert interviews, our study structures the topic from
the perspective of the potential users and shows the needs for future research.
article_number: e14
author:
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Timm
full_name: Fichtler, Timm
id: '66731'
last_name: Fichtler
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Meyer M, Fichtler T, Koldewey C, Dumitrescu R. Potentials and challenges of
analyzing use phase data in product planning of manufacturing companies. Artificial
Intelligence for Engineering Design, Analysis and Manufacturing. 2022;36.
doi:10.1017/s0890060421000408
apa: Meyer, M., Fichtler, T., Koldewey, C., & Dumitrescu, R. (2022). Potentials
and challenges of analyzing use phase data in product planning of manufacturing
companies. Artificial Intelligence for Engineering Design, Analysis and Manufacturing,
36, Article e14. https://doi.org/10.1017/s0890060421000408
bibtex: '@article{Meyer_Fichtler_Koldewey_Dumitrescu_2022, title={Potentials and
challenges of analyzing use phase data in product planning of manufacturing companies},
volume={36}, DOI={10.1017/s0890060421000408},
number={e14}, journal={Artificial Intelligence for Engineering Design, Analysis
and Manufacturing}, publisher={Cambridge University Press (CUP)}, author={Meyer,
Maurice and Fichtler, Timm and Koldewey, Christian and Dumitrescu, Roman}, year={2022}
}'
chicago: Meyer, Maurice, Timm Fichtler, Christian Koldewey, and Roman Dumitrescu.
“Potentials and Challenges of Analyzing Use Phase Data in Product Planning of
Manufacturing Companies.” Artificial Intelligence for Engineering Design, Analysis
and Manufacturing 36 (2022). https://doi.org/10.1017/s0890060421000408.
ieee: 'M. Meyer, T. Fichtler, C. Koldewey, and R. Dumitrescu, “Potentials and challenges
of analyzing use phase data in product planning of manufacturing companies,” Artificial
Intelligence for Engineering Design, Analysis and Manufacturing, vol. 36,
Art. no. e14, 2022, doi: 10.1017/s0890060421000408.'
mla: Meyer, Maurice, et al. “Potentials and Challenges of Analyzing Use Phase Data
in Product Planning of Manufacturing Companies.” Artificial Intelligence for
Engineering Design, Analysis and Manufacturing, vol. 36, e14, Cambridge University
Press (CUP), 2022, doi:10.1017/s0890060421000408.
short: M. Meyer, T. Fichtler, C. Koldewey, R. Dumitrescu, Artificial Intelligence
for Engineering Design, Analysis and Manufacturing 36 (2022).
date_created: 2022-03-02T19:23:18Z
date_updated: 2022-10-19T12:29:54Z
department:
- _id: '563'
doi: 10.1017/s0890060421000408
intvolume: ' 36'
keyword:
- Artificial Intelligence
- Industrial and Manufacturing Engineering
language:
- iso: eng
publication: Artificial Intelligence for Engineering Design, Analysis and Manufacturing
publication_identifier:
issn:
- 0890-0604
- 1469-1760
publication_status: published
publisher: Cambridge University Press (CUP)
status: public
title: Potentials and challenges of analyzing use phase data in product planning of
manufacturing companies
type: journal_article
user_id: '15782'
volume: 36
year: '2022'
...
---
_id: '33706'
author:
- first_name: Melina
full_name: Panzner, Melina
id: '72658'
last_name: Panzner
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Sebastian von
full_name: Enzberg, Sebastian von
last_name: Enzberg
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Panzner M, Meyer M, Enzberg S von, Dumitrescu R. Business-to-Analytics Canvas
- Translation of Product Planning-Related Business Use Cases into Concrete Data
Analytics Tasks. In: Procedia CIRP. Vol 109. Elsevier BV; 2022:580-585.
doi:10.1016/j.procir.2022.05.298'
apa: Panzner, M., Meyer, M., Enzberg, S. von, & Dumitrescu, R. (2022). Business-to-Analytics
Canvas - Translation of Product Planning-Related Business Use Cases into Concrete
Data Analytics Tasks. Procedia CIRP, 109, 580–585. https://doi.org/10.1016/j.procir.2022.05.298
bibtex: '@inproceedings{Panzner_Meyer_Enzberg_Dumitrescu_2022, title={Business-to-Analytics
Canvas - Translation of Product Planning-Related Business Use Cases into Concrete
Data Analytics Tasks}, volume={109}, DOI={10.1016/j.procir.2022.05.298},
booktitle={Procedia CIRP}, publisher={Elsevier BV}, author={Panzner, Melina and
Meyer, Maurice and Enzberg, Sebastian von and Dumitrescu, Roman}, year={2022},
pages={580–585} }'
chicago: Panzner, Melina, Maurice Meyer, Sebastian von Enzberg, and Roman Dumitrescu.
“Business-to-Analytics Canvas - Translation of Product Planning-Related Business
Use Cases into Concrete Data Analytics Tasks.” In Procedia CIRP, 109:580–85.
Elsevier BV, 2022. https://doi.org/10.1016/j.procir.2022.05.298.
ieee: 'M. Panzner, M. Meyer, S. von Enzberg, and R. Dumitrescu, “Business-to-Analytics
Canvas - Translation of Product Planning-Related Business Use Cases into Concrete
Data Analytics Tasks,” in Procedia CIRP, 2022, vol. 109, pp. 580–585, doi:
10.1016/j.procir.2022.05.298.'
mla: Panzner, Melina, et al. “Business-to-Analytics Canvas - Translation of Product
Planning-Related Business Use Cases into Concrete Data Analytics Tasks.” Procedia
CIRP, vol. 109, Elsevier BV, 2022, pp. 580–85, doi:10.1016/j.procir.2022.05.298.
short: 'M. Panzner, M. Meyer, S. von Enzberg, R. Dumitrescu, in: Procedia CIRP,
Elsevier BV, 2022, pp. 580–585.'
date_created: 2022-10-13T07:47:30Z
date_updated: 2022-10-28T09:35:39Z
department:
- _id: '563'
doi: 10.1016/j.procir.2022.05.298
intvolume: ' 109'
keyword:
- General Medicine
language:
- iso: eng
page: 580-585
publication: Procedia CIRP
publication_identifier:
issn:
- 2212-8271
publication_status: published
publisher: Elsevier BV
status: public
title: Business-to-Analytics Canvas - Translation of Product Planning-Related Business
Use Cases into Concrete Data Analytics Tasks
type: conference
user_id: '72658'
volume: 109
year: '2022'
...
---
_id: '26851'
author:
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Harald
full_name: Anacker, Harald
last_name: Anacker
- first_name: Eva-Maria
full_name: Grote, Eva-Maria
last_name: Grote
- first_name: Rik
full_name: Rasor, Rik
last_name: Rasor
- first_name: Julian
full_name: Tekaat, Julian
last_name: Tekaat
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Jürgen
full_name: Gausemeier, Jürgen
id: '163'
last_name: Gausemeier
- first_name: Steffen
full_name: Steglich, Steffen
last_name: Steglich
citation:
ama: 'Dumitrescu R, Anacker H, Grote E-M, et al. Erfolgspotentiale für die Zukunft
des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering.
In: Gausemeier J, Bauer W, Dumitrescu R, eds. Vorausschau und Technologieplanung
- 16. Symposium Vorausschau und Technologieplanung. Heinz Nixdorf Institut,
Universität Paderborn; 2021.'
apa: Dumitrescu, R., Anacker, H., Grote, E.-M., Rasor, R., Tekaat, J., Meyer, M.,
Gausemeier, J., & Steglich, S. (2021). Erfolgspotentiale für die Zukunft des
Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering.
In J. Gausemeier, W. Bauer, & R. Dumitrescu (Eds.), Vorausschau und Technologieplanung
- 16. Symposium Vorausschau und Technologieplanung. Heinz Nixdorf Institut,
Universität Paderborn.
bibtex: '@inproceedings{Dumitrescu_Anacker_Grote_Rasor_Tekaat_Meyer_Gausemeier_Steglich_2021,
place={Paderborn}, title={Erfolgspotentiale für die Zukunft des Engineeringstandorts
Deutschland – Ein Beitrag zum Advanced Systems Engineering}, booktitle={Vorausschau
und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung}, publisher={Heinz
Nixdorf Institut, Universität Paderborn}, author={Dumitrescu, Roman and Anacker,
Harald and Grote, Eva-Maria and Rasor, Rik and Tekaat, Julian and Meyer, Maurice
and Gausemeier, Jürgen and Steglich, Steffen}, editor={Gausemeier, Jürgen and
Bauer, Wilhelm and Dumitrescu, Roman}, year={2021} }'
chicago: 'Dumitrescu, Roman, Harald Anacker, Eva-Maria Grote, Rik Rasor, Julian
Tekaat, Maurice Meyer, Jürgen Gausemeier, and Steffen Steglich. “Erfolgspotentiale
für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced
Systems Engineering.” In Vorausschau und Technologieplanung - 16. Symposium
Vorausschau und Technologieplanung, edited by Jürgen Gausemeier, Wilhelm Bauer,
and Roman Dumitrescu. Paderborn: Heinz Nixdorf Institut, Universität Paderborn,
2021.'
ieee: R. Dumitrescu et al., “Erfolgspotentiale für die Zukunft des Engineeringstandorts
Deutschland – Ein Beitrag zum Advanced Systems Engineering,” in Vorausschau
und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung,
Berlin, 2021.
mla: Dumitrescu, Roman, et al. “Erfolgspotentiale für die Zukunft des Engineeringstandorts
Deutschland – Ein Beitrag zum Advanced Systems Engineering.” Vorausschau und
Technologieplanung - 16. Symposium Vorausschau und Technologieplanung, edited
by Jürgen Gausemeier et al., Heinz Nixdorf Institut, Universität Paderborn, 2021.
short: 'R. Dumitrescu, H. Anacker, E.-M. Grote, R. Rasor, J. Tekaat, M. Meyer, J.
Gausemeier, S. Steglich, in: J. Gausemeier, W. Bauer, R. Dumitrescu (Eds.), Vorausschau
und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung, Heinz
Nixdorf Institut, Universität Paderborn, Paderborn, 2021.'
conference:
end_date: 2021-12-03
location: Berlin
name: 16. Symposium für Vorausschau und Technologieplanung
start_date: 2021-12-02
date_created: 2021-10-25T13:32:30Z
date_updated: 2022-01-06T06:57:29Z
department:
- _id: '563'
editor:
- first_name: Jürgen
full_name: Gausemeier, Jürgen
last_name: Gausemeier
- first_name: Wilhelm
full_name: Bauer, Wilhelm
last_name: Bauer
- first_name: Roman
full_name: Dumitrescu, Roman
last_name: Dumitrescu
language:
- iso: ger
place: Paderborn
publication: Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung
publication_status: published
publisher: Heinz Nixdorf Institut, Universität Paderborn
status: public
title: Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein
Beitrag zum Advanced Systems Engineering
type: conference
user_id: '15782'
year: '2021'
...
---
_id: '26855'
abstract:
- lang: eng
text: AbstractCyber-physical systems (CPS) are
able the collect huge amounts of data about themselves, their users, and their
environment during their usage phase. By feeding these usage data back into product
planning, manufacturers can optimize their engineering and decision-making processes.
Despite promising potentials, most manufacturers still do not analyze usage data
within product planning. Also, research on usage data-driven product planning
is scarce. Therefore, this paper aims to identify the main concepts, advantages,
success factors and challenges of usage data-driven product planning. To answer
the corresponding research questions, a comprehensive systematic literature review
is conducted. From its results, a detailed description of usage data-driven product
planning consisting of six main concepts is derived. Furthermore, taxonomies for
the advantages, success factors and challenges of usage data-driven product planning
are presented. The six main concepts and the three taxonomies allow for a deeper
understanding of the topic while highlighting necessary future actions and research
needs.
author:
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Ingrid
full_name: Wiederkehr, Ingrid
id: '38169'
last_name: Wiederkehr
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Meyer M, Wiederkehr I, Koldewey C, Dumitrescu R. UNDERSTANDING USAGE DATA-DRIVEN
PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW. Proceedings of the Design
Society. Published online 2021:3289-3298. doi:10.1017/pds.2021.590'
apa: 'Meyer, M., Wiederkehr, I., Koldewey, C., & Dumitrescu, R. (2021). UNDERSTANDING
USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW. Proceedings
of the Design Society, 3289–3298. https://doi.org/10.1017/pds.2021.590'
bibtex: '@article{Meyer_Wiederkehr_Koldewey_Dumitrescu_2021, title={UNDERSTANDING
USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW}, DOI={10.1017/pds.2021.590},
journal={Proceedings of the Design Society}, author={Meyer, Maurice and Wiederkehr,
Ingrid and Koldewey, Christian and Dumitrescu, Roman}, year={2021}, pages={3289–3298}
}'
chicago: 'Meyer, Maurice, Ingrid Wiederkehr, Christian Koldewey, and Roman Dumitrescu.
“UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW.”
Proceedings of the Design Society, 2021, 3289–98. https://doi.org/10.1017/pds.2021.590.'
ieee: 'M. Meyer, I. Wiederkehr, C. Koldewey, and R. Dumitrescu, “UNDERSTANDING USAGE
DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW,” Proceedings
of the Design Society, pp. 3289–3298, 2021, doi: 10.1017/pds.2021.590.'
mla: 'Meyer, Maurice, et al. “UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING:
A SYSTEMATIC LITERATURE REVIEW.” Proceedings of the Design Society, 2021,
pp. 3289–98, doi:10.1017/pds.2021.590.'
short: M. Meyer, I. Wiederkehr, C. Koldewey, R. Dumitrescu, Proceedings of the Design
Society (2021) 3289–3298.
date_created: 2021-10-25T14:43:11Z
date_updated: 2022-01-06T06:57:29Z
department:
- _id: '563'
doi: 10.1017/pds.2021.590
language:
- iso: eng
page: 3289-3298
publication: Proceedings of the Design Society
publication_identifier:
issn:
- 2732-527X
publication_status: published
status: public
title: 'UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE
REVIEW'
type: journal_article
user_id: '43136'
year: '2021'
...
---
_id: '26857'
author:
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Jan-Philipp
full_name: Hemkentokrax, Jan-Philipp
id: '76057'
last_name: Hemkentokrax
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Peter M.
full_name: Tröster, Peter M.
last_name: Tröster
- first_name: Michael
full_name: Schlegel, Michael
last_name: Schlegel
- first_name: Christopher L.
full_name: Kling, Christopher L.
last_name: Kling
- first_name: Simon
full_name: Rapp, Simon
last_name: Rapp
- first_name: Albert
full_name: Albers, Albert
last_name: Albers
citation:
ama: 'Meyer M, Hemkentokrax J-P, Koldewey C, et al. Zukunftsrobuste Weiterentwicklung
von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis. In: Gausemeier
J, Bauer W, Dumitrescu R, eds. Vorausschau und Technologieplanung - 16. Symposium
Vorausschau und Technologieplanung. Vol 400. Heinz Nixdorf Institut, Universität
Paderborn; 2021.'
apa: 'Meyer, M., Hemkentokrax, J.-P., Koldewey, C., Dumitrescu, R., Tröster, P.
M., Schlegel, M., Kling, C. L., Rapp, S., & Albers, A. (2021). Zukunftsrobuste
Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus
der Praxis. In J. Gausemeier, W. Bauer, & R. Dumitrescu (Eds.), Vorausschau
und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung
(Vol. 400). Heinz Nixdorf Institut, Universität Paderborn.'
bibtex: '@inproceedings{Meyer_Hemkentokrax_Koldewey_Dumitrescu_Tröster_Schlegel_Kling_Rapp_Albers_2021,
place={Paderborn}, title={Zukunftsrobuste Weiterentwicklung von Produktportfolios:
Erkenntnisse und Handlungsbedarfe aus der Praxis}, volume={400}, booktitle={Vorausschau
und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung}, publisher={Heinz
Nixdorf Institut, Universität Paderborn}, author={Meyer, Maurice and Hemkentokrax,
Jan-Philipp and Koldewey, Christian and Dumitrescu, Roman and Tröster, Peter M.
and Schlegel, Michael and Kling, Christopher L. and Rapp, Simon and Albers, Albert},
editor={Gausemeier, Jürgen and Bauer, Wilhelm and Dumitrescu, Roman}, year={2021}
}'
chicago: 'Meyer, Maurice, Jan-Philipp Hemkentokrax, Christian Koldewey, Roman Dumitrescu,
Peter M. Tröster, Michael Schlegel, Christopher L. Kling, Simon Rapp, and Albert
Albers. “Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse
und Handlungsbedarfe aus der Praxis.” In Vorausschau und Technologieplanung
- 16. Symposium Vorausschau und Technologieplanung, edited by Jürgen Gausemeier,
Wilhelm Bauer, and Roman Dumitrescu, Vol. 400. Paderborn: Heinz Nixdorf Institut,
Universität Paderborn, 2021.'
ieee: 'M. Meyer et al., “Zukunftsrobuste Weiterentwicklung von Produktportfolios:
Erkenntnisse und Handlungsbedarfe aus der Praxis,” in Vorausschau und Technologieplanung
- 16. Symposium Vorausschau und Technologieplanung, Berlin, 2021, vol. 400.'
mla: 'Meyer, Maurice, et al. “Zukunftsrobuste Weiterentwicklung von Produktportfolios:
Erkenntnisse und Handlungsbedarfe aus der Praxis.” Vorausschau und Technologieplanung
- 16. Symposium Vorausschau und Technologieplanung, edited by Jürgen Gausemeier
et al., vol. 400, Heinz Nixdorf Institut, Universität Paderborn, 2021.'
short: 'M. Meyer, J.-P. Hemkentokrax, C. Koldewey, R. Dumitrescu, P.M. Tröster,
M. Schlegel, C.L. Kling, S. Rapp, A. Albers, in: J. Gausemeier, W. Bauer, R. Dumitrescu
(Eds.), Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung,
Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2021.'
conference:
end_date: 2021-12-03
location: Berlin
name: 16. Symposium für Vorausschau und Technologieplanung
start_date: 2021-12-02
date_created: 2021-10-25T14:50:27Z
date_updated: 2022-01-06T06:57:29Z
department:
- _id: '563'
editor:
- first_name: Jürgen
full_name: Gausemeier, Jürgen
last_name: Gausemeier
- first_name: Wilhelm
full_name: Bauer, Wilhelm
last_name: Bauer
- first_name: Roman
full_name: Dumitrescu, Roman
last_name: Dumitrescu
intvolume: ' 400'
language:
- iso: ger
place: Paderborn
publication: Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung
publication_status: published
publisher: Heinz Nixdorf Institut, Universität Paderborn
status: public
title: 'Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und
Handlungsbedarfe aus der Praxis'
type: conference
user_id: '15782'
volume: 400
year: '2021'
...
---
_id: '26858'
author:
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Melina
full_name: Panzner, Melina
last_name: Panzner
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Meyer M, Panzner M, Koldewey C, Dumitrescu R. Towards Identifying Data Analytics
Use Cases in Product Planning. Procedia CIRP. 2021;104:1179-1184.
apa: Meyer, M., Panzner, M., Koldewey, C., & Dumitrescu, R. (2021). Towards
Identifying Data Analytics Use Cases in Product Planning. Procedia CIRP,
104, 1179–1184.
bibtex: '@article{Meyer_Panzner_Koldewey_Dumitrescu_2021, title={Towards Identifying
Data Analytics Use Cases in Product Planning}, volume={104}, journal={Procedia
CIRP}, author={Meyer, Maurice and Panzner, Melina and Koldewey, Christian and
Dumitrescu, Roman}, year={2021}, pages={1179–1184} }'
chicago: 'Meyer, Maurice, Melina Panzner, Christian Koldewey, and Roman Dumitrescu.
“Towards Identifying Data Analytics Use Cases in Product Planning.” Procedia
CIRP 104 (2021): 1179–84.'
ieee: M. Meyer, M. Panzner, C. Koldewey, and R. Dumitrescu, “Towards Identifying
Data Analytics Use Cases in Product Planning,” Procedia CIRP, vol. 104,
pp. 1179–1184, 2021.
mla: Meyer, Maurice, et al. “Towards Identifying Data Analytics Use Cases in Product
Planning.” Procedia CIRP, vol. 104, 2021, pp. 1179–84.
short: M. Meyer, M. Panzner, C. Koldewey, R. Dumitrescu, Procedia CIRP 104 (2021)
1179–1184.
date_created: 2021-10-25T14:56:55Z
date_updated: 2022-01-06T06:57:29Z
department:
- _id: '563'
intvolume: ' 104'
language:
- iso: eng
page: 1179-1184
publication: Procedia CIRP
status: public
title: Towards Identifying Data Analytics Use Cases in Product Planning
type: journal_article
user_id: '77201'
volume: 104
year: '2021'
...
---
_id: '19864'
article_type: original
author:
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Maximilian
full_name: Frank, Maximilian
last_name: Frank
- first_name: Melina
full_name: Massmann, Melina
last_name: Massmann
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Meyer M, Frank M, Massmann M, Dumitrescu R. Research and Consulting in Data-Driven
Strategic Product Planning. Proceedings of The 11th International Multi-Conference
on Complexity, Informatics and Cybernetics (IMCIC 2020). 2020.
apa: Meyer, M., Frank, M., Massmann, M., & Dumitrescu, R. (2020). Research and
Consulting in Data-Driven Strategic Product Planning. Proceedings of The 11th
International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC
2020).
bibtex: '@article{Meyer_Frank_Massmann_Dumitrescu_2020, title={Research and Consulting
in Data-Driven Strategic Product Planning}, journal={Proceedings of The 11th International
Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020)}, author={Meyer,
Maurice and Frank, Maximilian and Massmann, Melina and Dumitrescu, Roman}, year={2020}
}'
chicago: Meyer, Maurice, Maximilian Frank, Melina Massmann, and Roman Dumitrescu.
“Research and Consulting in Data-Driven Strategic Product Planning.” Proceedings
of The 11th International Multi-Conference on Complexity, Informatics and Cybernetics
(IMCIC 2020), 2020.
ieee: M. Meyer, M. Frank, M. Massmann, and R. Dumitrescu, “Research and Consulting
in Data-Driven Strategic Product Planning,” Proceedings of The 11th International
Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020),
2020.
mla: Meyer, Maurice, et al. “Research and Consulting in Data-Driven Strategic Product
Planning.” Proceedings of The 11th International Multi-Conference on Complexity,
Informatics and Cybernetics (IMCIC 2020), 2020.
short: M. Meyer, M. Frank, M. Massmann, R. Dumitrescu, Proceedings of The 11th International
Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020) (2020).
date_created: 2020-10-02T16:19:50Z
date_updated: 2022-01-06T06:54:14Z
department:
- _id: '563'
language:
- iso: eng
publication: Proceedings of The 11th International Multi-Conference on Complexity,
Informatics and Cybernetics (IMCIC 2020)
status: public
title: Research and Consulting in Data-Driven Strategic Product Planning
type: journal_article
user_id: '77201'
year: '2020'
...
---
_id: '19866'
article_type: original
author:
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Maximilian
full_name: Frank, Maximilian
last_name: Frank
- first_name: Melina
full_name: Massmann, Melina
last_name: Massmann
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Meyer M, Frank M, Massmann M, Dumitrescu R. Research and Consulting in Data-Driven
Strategic Product Planning. Journal of Systemics, Cybernetics and Informatics.
2020;18(2):55-61.
apa: Meyer, M., Frank, M., Massmann, M., & Dumitrescu, R. (2020). Research and
Consulting in Data-Driven Strategic Product Planning. Journal of Systemics,
Cybernetics and Informatics, 18(2), 55–61.
bibtex: '@article{Meyer_Frank_Massmann_Dumitrescu_2020, title={Research and Consulting
in Data-Driven Strategic Product Planning}, volume={18}, number={2}, journal={Journal
of Systemics, Cybernetics and Informatics}, author={Meyer, Maurice and Frank,
Maximilian and Massmann, Melina and Dumitrescu, Roman}, year={2020}, pages={55–61}
}'
chicago: 'Meyer, Maurice, Maximilian Frank, Melina Massmann, and Roman Dumitrescu.
“Research and Consulting in Data-Driven Strategic Product Planning.” Journal
of Systemics, Cybernetics and Informatics 18, no. 2 (2020): 55–61.'
ieee: M. Meyer, M. Frank, M. Massmann, and R. Dumitrescu, “Research and Consulting
in Data-Driven Strategic Product Planning,” Journal of Systemics, Cybernetics
and Informatics, vol. 18, no. 2, pp. 55–61, 2020.
mla: Meyer, Maurice, et al. “Research and Consulting in Data-Driven Strategic Product
Planning.” Journal of Systemics, Cybernetics and Informatics, vol. 18,
no. 2, 2020, pp. 55–61.
short: M. Meyer, M. Frank, M. Massmann, R. Dumitrescu, Journal of Systemics, Cybernetics
and Informatics 18 (2020) 55–61.
date_created: 2020-10-02T16:21:47Z
date_updated: 2022-01-06T06:54:14Z
department:
- _id: '563'
intvolume: ' 18'
issue: '2'
language:
- iso: eng
page: 55-61
publication: Journal of Systemics, Cybernetics and Informatics
status: public
title: Research and Consulting in Data-Driven Strategic Product Planning
type: journal_article
user_id: '77201'
volume: 18
year: '2020'
...
---
_id: '27096'
author:
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Patrick
full_name: Stockbruegger, Patrick
last_name: Stockbruegger
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Jürgen
full_name: Gausemeier, Jürgen
last_name: Gausemeier
citation:
ama: Koldewey C, Meyer M, Stockbruegger P, Dumitrescu R, Gausemeier J. Framework
and Functionality Patterns for Smart Service Innovation. Procedia CIRP (91).
Published online 2020:851-857.
apa: Koldewey, C., Meyer, M., Stockbruegger, P., Dumitrescu, R., & Gausemeier,
J. (2020). Framework and Functionality Patterns for Smart Service Innovation.
Procedia CIRP (91), 851–857.
bibtex: '@article{Koldewey_Meyer_Stockbruegger_Dumitrescu_Gausemeier_2020, title={Framework
and Functionality Patterns for Smart Service Innovation}, journal={Procedia CIRP
(91)}, author={Koldewey, Christian and Meyer, Maurice and Stockbruegger, Patrick
and Dumitrescu, Roman and Gausemeier, Jürgen}, year={2020}, pages={851–857} }'
chicago: Koldewey, Christian, Maurice Meyer, Patrick Stockbruegger, Roman Dumitrescu,
and Jürgen Gausemeier. “Framework and Functionality Patterns for Smart Service
Innovation.” Procedia CIRP (91), 2020, 851–57.
ieee: C. Koldewey, M. Meyer, P. Stockbruegger, R. Dumitrescu, and J. Gausemeier,
“Framework and Functionality Patterns for Smart Service Innovation,” Procedia
CIRP (91), pp. 851–857, 2020.
mla: Koldewey, Christian, et al. “Framework and Functionality Patterns for Smart
Service Innovation.” Procedia CIRP (91), 2020, pp. 851–57.
short: C. Koldewey, M. Meyer, P. Stockbruegger, R. Dumitrescu, J. Gausemeier, Procedia
CIRP (91) (2020) 851–857.
date_created: 2021-11-03T10:17:08Z
date_updated: 2022-01-06T06:57:33Z
department:
- _id: '676'
language:
- iso: eng
page: 851-857
publication: Procedia CIRP (91)
status: public
title: Framework and Functionality Patterns for Smart Service Innovation
type: journal_article
user_id: '21240'
year: '2020'
...
---
_id: '20447'
article_type: original
author:
- first_name: Melina
full_name: Massmann, Melina
last_name: Massmann
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Maximilian
full_name: Frank, Maximilian
last_name: Frank
- first_name: Sebastian
full_name: von Enzberg, Sebastian
last_name: von Enzberg
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Massmann M, Meyer M, Frank M, von Enzberg S, Kühn A, Dumitrescu R. Method for
data inventory and classification. Procedia CIRP. 2020;(93):234-239.
apa: Massmann, M., Meyer, M., Frank, M., von Enzberg, S., Kühn, A., & Dumitrescu,
R. (2020). Method for data inventory and classification. Procedia CIRP,
(93), 234–239.
bibtex: '@article{Massmann_Meyer_Frank_von Enzberg_Kühn_Dumitrescu_2020, title={Method
for data inventory and classification}, number={93}, journal={Procedia CIRP},
author={Massmann, Melina and Meyer, Maurice and Frank, Maximilian and von Enzberg,
Sebastian and Kühn, Arno and Dumitrescu, Roman}, year={2020}, pages={234–239}
}'
chicago: 'Massmann, Melina, Maurice Meyer, Maximilian Frank, Sebastian von Enzberg,
Arno Kühn, and Roman Dumitrescu. “Method for Data Inventory and Classification.”
Procedia CIRP, no. 93 (2020): 234–39.'
ieee: M. Massmann, M. Meyer, M. Frank, S. von Enzberg, A. Kühn, and R. Dumitrescu,
“Method for data inventory and classification,” Procedia CIRP, no. 93,
pp. 234–239, 2020.
mla: Massmann, Melina, et al. “Method for Data Inventory and Classification.” Procedia
CIRP, no. 93, 2020, pp. 234–39.
short: M. Massmann, M. Meyer, M. Frank, S. von Enzberg, A. Kühn, R. Dumitrescu,
Procedia CIRP (2020) 234–239.
date_created: 2020-11-20T12:16:09Z
date_updated: 2022-01-06T06:54:27Z
department:
- _id: '563'
issue: '93'
language:
- iso: eng
page: 234-239
publication: Procedia CIRP
status: public
title: Method for data inventory and classification
type: journal_article
user_id: '77201'
year: '2020'
...
---
_id: '20448'
article_type: original
author:
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Maximilian
full_name: Frank, Maximilian
last_name: Frank
- first_name: Melina
full_name: Massmann, Melina
last_name: Massmann
- first_name: Niklas
full_name: Wendt, Niklas
last_name: Wendt
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Meyer M, Frank M, Massmann M, Wendt N, Dumitrescu R. Data-Driven Product Generation
and Retrofit Planning. Procedia CIRP. 2020;(93):965-970.
apa: Meyer, M., Frank, M., Massmann, M., Wendt, N., & Dumitrescu, R. (2020).
Data-Driven Product Generation and Retrofit Planning. Procedia CIRP, (93),
965–970.
bibtex: '@article{Meyer_Frank_Massmann_Wendt_Dumitrescu_2020, title={Data-Driven
Product Generation and Retrofit Planning}, number={93}, journal={Procedia CIRP},
author={Meyer, Maurice and Frank, Maximilian and Massmann, Melina and Wendt, Niklas
and Dumitrescu, Roman}, year={2020}, pages={965–970} }'
chicago: 'Meyer, Maurice, Maximilian Frank, Melina Massmann, Niklas Wendt, and Roman
Dumitrescu. “Data-Driven Product Generation and Retrofit Planning.” Procedia
CIRP, no. 93 (2020): 965–70.'
ieee: M. Meyer, M. Frank, M. Massmann, N. Wendt, and R. Dumitrescu, “Data-Driven
Product Generation and Retrofit Planning,” Procedia CIRP, no. 93, pp. 965–970,
2020.
mla: Meyer, Maurice, et al. “Data-Driven Product Generation and Retrofit Planning.”
Procedia CIRP, no. 93, 2020, pp. 965–70.
short: M. Meyer, M. Frank, M. Massmann, N. Wendt, R. Dumitrescu, Procedia CIRP (2020)
965–970.
date_created: 2020-11-20T12:18:11Z
date_updated: 2022-01-06T06:54:27Z
department:
- _id: '563'
issue: '93'
language:
- iso: eng
page: 965-970
publication: Procedia CIRP
status: public
title: Data-Driven Product Generation and Retrofit Planning
type: journal_article
user_id: '77201'
year: '2020'
...
---
_id: '20449'
article_type: original
author:
- first_name: Eckart
full_name: Uhlmann, Eckart
last_name: Uhlmann
- first_name: Roman
full_name: Dumitrescu, Roman
last_name: Dumitrescu
- first_name: Julian
full_name: Polte, Julian
last_name: Polte
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Deniz
full_name: Simsek, Deniz
last_name: Simsek
citation:
ama: Uhlmann E, Dumitrescu R, Polte J, Meyer M, Simsek D. Datengetriebene Steigerung
der Verfügbarkeit. wt Werkstattstechnik online . 2020;110(07-08):532-535.
apa: Uhlmann, E., Dumitrescu, R., Polte, J., Meyer, M., & Simsek, D. (2020).
Datengetriebene Steigerung der Verfügbarkeit. Wt Werkstattstechnik Online
, 110(07–08), 532–535.
bibtex: '@article{Uhlmann_Dumitrescu_Polte_Meyer_Simsek_2020, title={Datengetriebene
Steigerung der Verfügbarkeit}, volume={110}, number={07–08}, journal={ wt Werkstattstechnik
online }, author={Uhlmann, Eckart and Dumitrescu, Roman and Polte, Julian and
Meyer, Maurice and Simsek, Deniz}, year={2020}, pages={532–535} }'
chicago: 'Uhlmann, Eckart, Roman Dumitrescu, Julian Polte, Maurice Meyer, and Deniz
Simsek. “Datengetriebene Steigerung Der Verfügbarkeit.” Wt Werkstattstechnik
Online 110, no. 07–08 (2020): 532–35.'
ieee: E. Uhlmann, R. Dumitrescu, J. Polte, M. Meyer, and D. Simsek, “Datengetriebene
Steigerung der Verfügbarkeit,” wt Werkstattstechnik online , vol. 110,
no. 07–08, pp. 532–535, 2020.
mla: Uhlmann, Eckart, et al. “Datengetriebene Steigerung Der Verfügbarkeit.”
Wt Werkstattstechnik Online , vol. 110, no. 07–08, 2020, pp. 532–35.
short: E. Uhlmann, R. Dumitrescu, J. Polte, M. Meyer, D. Simsek, Wt Werkstattstechnik
Online 110 (2020) 532–535.
date_created: 2020-11-20T12:20:03Z
date_updated: 2022-01-06T06:54:27Z
department:
- _id: '563'
intvolume: ' 110'
issue: 07-08
language:
- iso: eng
page: 532-535
publication: ' wt Werkstattstechnik online '
status: public
title: Datengetriebene Steigerung der Verfügbarkeit
type: journal_article
user_id: '77201'
volume: 110
year: '2020'
...
---
_id: '20450'
article_type: original
author:
- first_name: Melina
full_name: Massmann, Melina
last_name: Massmann
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Maximilian
full_name: Frank, Maximilian
last_name: Frank
- first_name: Sebastian
full_name: von Enzberg, Sebastian
last_name: von Enzberg
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Massmann M, Meyer M, Frank M, von Enzberg S, Kühn A, Dumitrescu R. Framework
for Data Analytics in Data-Driven Product Planning. Procedia Manufacturing.
2020.
apa: Massmann, M., Meyer, M., Frank, M., von Enzberg, S., Kühn, A., & Dumitrescu,
R. (2020). Framework for Data Analytics in Data-Driven Product Planning. Procedia
Manufacturing.
bibtex: '@article{Massmann_Meyer_Frank_von Enzberg_Kühn_Dumitrescu_2020, title={Framework
for Data Analytics in Data-Driven Product Planning}, journal={Procedia Manufacturing},
author={Massmann, Melina and Meyer, Maurice and Frank, Maximilian and von Enzberg,
Sebastian and Kühn, Arno and Dumitrescu, Roman}, year={2020} }'
chicago: Massmann, Melina, Maurice Meyer, Maximilian Frank, Sebastian von Enzberg,
Arno Kühn, and Roman Dumitrescu. “Framework for Data Analytics in Data-Driven
Product Planning.” Procedia Manufacturing, 2020.
ieee: M. Massmann, M. Meyer, M. Frank, S. von Enzberg, A. Kühn, and R. Dumitrescu,
“Framework for Data Analytics in Data-Driven Product Planning,” Procedia Manufacturing,
2020.
mla: Massmann, Melina, et al. “Framework for Data Analytics in Data-Driven Product
Planning.” Procedia Manufacturing, 2020.
short: M. Massmann, M. Meyer, M. Frank, S. von Enzberg, A. Kühn, R. Dumitrescu,
Procedia Manufacturing (2020).
date_created: 2020-11-20T12:22:19Z
date_updated: 2022-01-06T06:54:27Z
department:
- _id: '563'
language:
- iso: eng
publication: Procedia Manufacturing
status: public
title: Framework for Data Analytics in Data-Driven Product Planning
type: journal_article
user_id: '77201'
year: '2020'
...
---
_id: '18350'
article_type: original
author:
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Patrick
full_name: Stockbrügger, Patrick
last_name: Stockbrügger
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Jürgen
full_name: Gausemeier, Jürgen
last_name: Gausemeier
citation:
ama: Koldewey C, Meyer M, Stockbrügger P, Dumitrescu R, Gausemeier J. Framework
and Functionality Patterns for Smart Service Innovation. Procedia CIRP.
2020;(91):851-857. doi:10.1016/j.procir.2020.02.244
apa: Koldewey, C., Meyer, M., Stockbrügger, P., Dumitrescu, R., & Gausemeier,
J. (2020). Framework and Functionality Patterns for Smart Service Innovation.
Procedia CIRP, (91), 851–857. https://doi.org/10.1016/j.procir.2020.02.244
bibtex: '@article{Koldewey_Meyer_Stockbrügger_Dumitrescu_Gausemeier_2020, title={Framework
and Functionality Patterns for Smart Service Innovation}, DOI={10.1016/j.procir.2020.02.244},
number={91}, journal={Procedia CIRP}, author={Koldewey, Christian and Meyer, Maurice
and Stockbrügger, Patrick and Dumitrescu, Roman and Gausemeier, Jürgen}, year={2020},
pages={851–857} }'
chicago: 'Koldewey, Christian, Maurice Meyer, Patrick Stockbrügger, Roman Dumitrescu,
and Jürgen Gausemeier. “Framework and Functionality Patterns for Smart Service
Innovation.” Procedia CIRP, no. 91 (2020): 851–57. https://doi.org/10.1016/j.procir.2020.02.244.'
ieee: C. Koldewey, M. Meyer, P. Stockbrügger, R. Dumitrescu, and J. Gausemeier,
“Framework and Functionality Patterns for Smart Service Innovation,” Procedia
CIRP, no. 91, pp. 851–857, 2020.
mla: Koldewey, Christian, et al. “Framework and Functionality Patterns for Smart
Service Innovation.” Procedia CIRP, no. 91, 2020, pp. 851–57, doi:10.1016/j.procir.2020.02.244.
short: C. Koldewey, M. Meyer, P. Stockbrügger, R. Dumitrescu, J. Gausemeier, Procedia
CIRP (2020) 851–857.
date_created: 2020-08-26T09:39:12Z
date_updated: 2022-01-06T06:53:29Z
department:
- _id: '563'
doi: 10.1016/j.procir.2020.02.244
issue: '91'
language:
- iso: eng
page: 851-857
publication: Procedia CIRP
publication_identifier:
issn:
- 2212-8271
publication_status: published
quality_controlled: '1'
status: public
title: Framework and Functionality Patterns for Smart Service Innovation
type: journal_article
user_id: '77201'
year: '2020'
...
---
_id: '27103'
abstract:
- lang: eng
text: "One of the notable drivers of the fourth industrial revolution is the collection
of vast amounts of data along the entire lifecycle of a product. The analysis
of product lifecycle data in conjunction with product hypotheses leads to promising
potentials in strategic product planning. In this thesis paper, we postulate the
need for data-driven product generation and retrofit planning as an interdisciplinary
field of research. We define and analyze the key concepts and derive requirements
in a structured way. Based on an exhaustive research of existing approaches, we
structure open research questions and propose a roadmap in order to shape future
research efforts.\r\n"
author:
- first_name: Melina
full_name: Massmann, Melina
last_name: Massmann
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Sebastian
full_name: von Enzberg, Sebastian
last_name: von Enzberg
- first_name: Maximilian
full_name: Frank, Maximilian
id: '38255'
last_name: Frank
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Jannik
full_name: Reinhold, Jannik
id: '33669'
last_name: Reinhold
citation:
ama: 'Massmann M, Meyer M, Dumitrescu R, et al. Significance and Challenges of Data-driven
Product Generation and Retrofit Planning. In: Proceedings of the CIRP DESIGN.
Scientific Technical Committee Design of the International Academy for Production
Engineering (CIRP); 2019.'
apa: Massmann, M., Meyer, M., Dumitrescu, R., von Enzberg, S., Frank, M., Koldewey,
C., Kühn, A., & Reinhold, J. (2019). Significance and Challenges of Data-driven
Product Generation and Retrofit Planning. Proceedings of the CIRP DESIGN.
bibtex: '@inproceedings{Massmann_Meyer_Dumitrescu_von Enzberg_Frank_Koldewey_Kühn_Reinhold_2019,
title={Significance and Challenges of Data-driven Product Generation and Retrofit
Planning}, booktitle={Proceedings of the CIRP DESIGN}, publisher={Scientific Technical
Committee Design of the International Academy for Production Engineering (CIRP)},
author={Massmann, Melina and Meyer, Maurice and Dumitrescu, Roman and von Enzberg,
Sebastian and Frank, Maximilian and Koldewey, Christian and Kühn, Arno and Reinhold,
Jannik}, year={2019} }'
chicago: Massmann, Melina, Maurice Meyer, Roman Dumitrescu, Sebastian von Enzberg,
Maximilian Frank, Christian Koldewey, Arno Kühn, and Jannik Reinhold. “Significance
and Challenges of Data-Driven Product Generation and Retrofit Planning.” In Proceedings
of the CIRP DESIGN. Scientific Technical Committee Design of the International
Academy for Production Engineering (CIRP), 2019.
ieee: M. Massmann et al., “Significance and Challenges of Data-driven Product
Generation and Retrofit Planning,” 2019.
mla: Massmann, Melina, et al. “Significance and Challenges of Data-Driven Product
Generation and Retrofit Planning.” Proceedings of the CIRP DESIGN, Scientific
Technical Committee Design of the International Academy for Production Engineering
(CIRP), 2019.
short: 'M. Massmann, M. Meyer, R. Dumitrescu, S. von Enzberg, M. Frank, C. Koldewey,
A. Kühn, J. Reinhold, in: Proceedings of the CIRP DESIGN, Scientific Technical
Committee Design of the International Academy for Production Engineering (CIRP),
2019.'
date_created: 2021-11-03T11:07:06Z
date_updated: 2022-01-06T06:57:34Z
department:
- _id: '676'
language:
- iso: eng
publication: Proceedings of the CIRP DESIGN
publisher: Scientific Technical Committee Design of the International Academy for
Production Engineering (CIRP)
status: public
title: Significance and Challenges of Data-driven Product Generation and Retrofit
Planning
type: conference
user_id: '21240'
year: '2019'
...
---
_id: '17392'
author:
- first_name: Melina
full_name: Massmann, Melina
last_name: Massmann
- first_name: Maurice
full_name: Meyer, Maurice
id: '77201'
last_name: Meyer
orcid: 0000-0003-0606-7321
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Sebastian von
full_name: Enzberg, Sebastian von
last_name: Enzberg
- first_name: Maximilian
full_name: Frank, Maximilian
last_name: Frank
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Jannik
full_name: Reinhold, Jannik
id: '33669'
last_name: Reinhold
citation:
ama: Massmann M, Meyer M, Dumitrescu R, et al. Significance and Challenges of Data-driven
Product Generation and Retrofit Planning. Procedia CIRP. 2019:992-997.
doi:10.1016/j.procir.2019.04.226
apa: Massmann, M., Meyer, M., Dumitrescu, R., Enzberg, S. von, Frank, M., Koldewey,
C., … Reinhold, J. (2019). Significance and Challenges of Data-driven Product
Generation and Retrofit Planning. Procedia CIRP, 992–997. https://doi.org/10.1016/j.procir.2019.04.226
bibtex: '@article{Massmann_Meyer_Dumitrescu_Enzberg_Frank_Koldewey_Kühn_Reinhold_2019,
title={Significance and Challenges of Data-driven Product Generation and Retrofit
Planning}, DOI={10.1016/j.procir.2019.04.226},
journal={Procedia CIRP}, author={Massmann, Melina and Meyer, Maurice and Dumitrescu,
Roman and Enzberg, Sebastian von and Frank, Maximilian and Koldewey, Christian
and Kühn, Arno and Reinhold, Jannik}, year={2019}, pages={992–997} }'
chicago: Massmann, Melina, Maurice Meyer, Roman Dumitrescu, Sebastian von Enzberg,
Maximilian Frank, Christian Koldewey, Arno Kühn, and Jannik Reinhold. “Significance
and Challenges of Data-Driven Product Generation and Retrofit Planning.” Procedia
CIRP, 2019, 992–97. https://doi.org/10.1016/j.procir.2019.04.226.
ieee: M. Massmann et al., “Significance and Challenges of Data-driven Product
Generation and Retrofit Planning,” Procedia CIRP, pp. 992–997, 2019.
mla: Massmann, Melina, et al. “Significance and Challenges of Data-Driven Product
Generation and Retrofit Planning.” Procedia CIRP, 2019, pp. 992–97, doi:10.1016/j.procir.2019.04.226.
short: M. Massmann, M. Meyer, R. Dumitrescu, S. von Enzberg, M. Frank, C. Koldewey,
A. Kühn, J. Reinhold, Procedia CIRP (2019) 992–997.
date_created: 2020-07-16T16:29:26Z
date_updated: 2022-01-06T06:53:10Z
department:
- _id: '563'
doi: 10.1016/j.procir.2019.04.226
language:
- iso: eng
page: 992-997
publication: Procedia CIRP
publication_identifier:
issn:
- 2212-8271
publication_status: published
status: public
title: Significance and Challenges of Data-driven Product Generation and Retrofit
Planning
type: journal_article
user_id: '43136'
year: '2019'
...