Using data-and network science to reveal iterations and phase-transitions in the design process

Research output: Contribution to journal › Conference article › Research › peer-review

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Using data-and network science to reveal iterations and phase-transitions in the design process. / Piccolo, Sebastiano; Lehmann, Sune; Maier, Anja.

In: Proceedings of the International Conference on Engineering Design, ICED, Vol. 2, No. DS87-2, 2017, p. 11-20.

Research output: Contribution to journal › Conference article › Research › peer-review

Harvard

Piccolo, S, Lehmann, S & Maier, A 2017, 'Using data-and network science to reveal iterations and phase-transitions in the design process', Proceedings of the International Conference on Engineering Design, ICED, vol. 2, no. DS87-2, pp. 11-20.

APA

Piccolo, S., Lehmann, S., & Maier, A. (2017). Using data-and network science to reveal iterations and phase-transitions in the design process. Proceedings of the International Conference on Engineering Design, ICED, 2(DS87-2), 11-20.

Vancouver

Piccolo S, Lehmann S, Maier A. Using data-and network science to reveal iterations and phase-transitions in the design process. Proceedings of the International Conference on Engineering Design, ICED. 2017;2(DS87-2):11-20.

Author

Piccolo, Sebastiano ; Lehmann, Sune ; Maier, Anja. / Using data-and network science to reveal iterations and phase-transitions in the design process. In: Proceedings of the International Conference on Engineering Design, ICED. 2017 ; Vol. 2, No. DS87-2. pp. 11-20.

Bibtex

@inproceedings{cd5ab50f3bb3428eb0b5864cfe404ed3,
title = "Using data-and network science to reveal iterations and phase-transitions in the design process",
abstract = "Understanding the role of iterations is a prevalent topic in both design research and design practice. Furthermore, the increasing amount of data produced and stored by companies leaves traces and enables the application of data science to learn from past design processes. In this article, we analyse a documentlog to show the temporal evolution of a real design process of a power plant by using exploratory data analysis and network analysis. We show how the iterative nature of the design process is reflected in archival data and how one might re-construct the design process, involving iterations between many parties, including the client, external consultants, suppliers, and designers. We also show how people use different representations during the design process and how this is associated with a design phasetransition in the process. Finally, we relate our findings with the literature on iterations and discuss implications for research and practice with application to project management and process modelling.",
keywords = "Complexity, Design process, Iterations, Network science, Visualisation",
author = "Sebastiano Piccolo and Sune Lehmann and Anja Maier",
year = "2017",
language = "English",
volume = "2",
pages = "11--20",
journal = "Proceedings of the International Conference on Engineering Design, ICED",
issn = "2220-4334",
number = "DS87-2",
note = "21st International Conference on Engineering Design, ICED 2017 ; Conference date: 21-08-2017 Through 25-08-2017",

}

RIS

TY - GEN

T1 - Using data-and network science to reveal iterations and phase-transitions in the design process

AU - Piccolo, Sebastiano

AU - Lehmann, Sune

AU - Maier, Anja

PY - 2017

Y1 - 2017

N2 - Understanding the role of iterations is a prevalent topic in both design research and design practice. Furthermore, the increasing amount of data produced and stored by companies leaves traces and enables the application of data science to learn from past design processes. In this article, we analyse a documentlog to show the temporal evolution of a real design process of a power plant by using exploratory data analysis and network analysis. We show how the iterative nature of the design process is reflected in archival data and how one might re-construct the design process, involving iterations between many parties, including the client, external consultants, suppliers, and designers. We also show how people use different representations during the design process and how this is associated with a design phasetransition in the process. Finally, we relate our findings with the literature on iterations and discuss implications for research and practice with application to project management and process modelling.

AB - Understanding the role of iterations is a prevalent topic in both design research and design practice. Furthermore, the increasing amount of data produced and stored by companies leaves traces and enables the application of data science to learn from past design processes. In this article, we analyse a documentlog to show the temporal evolution of a real design process of a power plant by using exploratory data analysis and network analysis. We show how the iterative nature of the design process is reflected in archival data and how one might re-construct the design process, involving iterations between many parties, including the client, external consultants, suppliers, and designers. We also show how people use different representations during the design process and how this is associated with a design phasetransition in the process. Finally, we relate our findings with the literature on iterations and discuss implications for research and practice with application to project management and process modelling.

KW - Complexity

KW - Design process

KW - Iterations

KW - Network science

KW - Visualisation

UR - http://www.scopus.com/inward/record.url?scp=85029755642&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85029755642

VL - 2

SP - 11

EP - 20

JO - Proceedings of the International Conference on Engineering Design, ICED

JF - Proceedings of the International Conference on Engineering Design, ICED

SN - 2220-4334

IS - DS87-2

T2 - 21st International Conference on Engineering Design, ICED 2017

Y2 - 21 August 2017 through 25 August 2017

ER -

ID: 253024041