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MODELLING PROPORTIONS AND SEQUENCES OF OPERATIONS IN TEAM DESIGN ACTIVITIES

Published online by Cambridge University Press:  27 July 2021

Tomislav Martinec ,
Stanko Škec ,
Fanika Lukačević  and
Mario Štorga
Tomislav Martinec*
Affiliation:
University of Zagreb
Stanko Škec
Affiliation:
University of Zagreb
Fanika Lukačević
Affiliation:
University of Zagreb
Mario Štorga
Affiliation:
University of Zagreb Luleå University of Technology
*
Martinec, Tomislav, University of Zagreb, FSB, Department of Design, Croatia, tomislav.martinec@fsb.hr

Abstract

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The presented research aims at modelling and formalising the process of team design activity as an interplay between the evolution of design problems and solutions. The motivation founds primarily on a presumption that there exist regularities in designing which can be captured and formalised using the appropriate models. The study thus investigates whether the identified design operation proportions and sequence probabilities are consistent throughout the different parts of team conceptual design activities. It does so by exploring the utility of mathematical models built based on the correlations and statistically significant sequences underlying the previously identified designing patterns. The developed mathematical model was tested by replicating moving-average analyses of design operation proportions and sequences, which were originally observed in the protocol analysis study. A close fit was found between the simulated and the observed data, particularly in providing insights regarding operation patterns and proportion trends. The presented models and modelling methodology are potentially an appropriate means for the next steps in describing, and consequently predicting and supporting team design activity dynamics.

Keywords

Design processDesign operationsProcess modellingTeamworkProcess patterns
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 2187 - 2196
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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