Design project management is witnessing an increasing need for practitioners to rely on tools that reflect the integrated nature of the social and technical characteristics of design processes, as opposed to considering the two as separate concepts. For practitioners, this integration has the potential value of predicting the future behavior of design processes by allowing them to understand what task to do next, whom to assign a task given the availability of resource, and the levels of knowledge and expertise required. In response to these challenges, this paper contributes to the development of a new process modeling method, called actor-based signposting (ABS), that looks at the early stages of the product development processes from the perspective of integrated sociotechnical systems. The objective is to support managers and decision-makers on both typical planning issues, such as scheduling and resource allocation, and less conventional issues relating to the organizational planning of a design project, such as identification of criticalities, matching required skills and expertise, and factors of influence. Ultimately, the aim is to support organizations to be more adaptive in responding to change and uncertainty. Two case studies in the automotive and aerospace industries with different properties and modeling objectives were selected to demonstrate the utility of the proposed method. Experimental analysis of these cases led to a range of insights regarding the future of modeling for academia as well as the decision-making capabilities for managers and practitioners.
Skip Nav Destination
Article navigation
August 2019
Research-Article
Managing Sociotechnical Complexity in Engineering Design Projects
Mohammad Hassannezhad,
Mohammad Hassannezhad
1
Cambridge Engineering Design Centre,
Department of Engineering,
Trumpington Street, Cambridge CB2 1PZ,
e-mail: mh844@eng.cam.ac.uk
Department of Engineering,
University of Cambridge
,Trumpington Street, Cambridge CB2 1PZ,
UK
e-mail: mh844@eng.cam.ac.uk
1Corresponding author.
Search for other works by this author on:
Marco Cantamessa,
Marco Cantamessa
Department of Management and Production Engineering,
Corso Duca degli Abruzzi 24, Torino 10129,
e-mail: marco.cantamessa@polito.it
Politecnico di Torino
,Corso Duca degli Abruzzi 24, Torino 10129,
Italy
e-mail: marco.cantamessa@polito.it
Search for other works by this author on:
Francesca Montagna,
Francesca Montagna
Department of Management and Production Engineering,
Corso Duca degli Abruzzi 24, Torino 10129,
e-mail: francesca.montagna@polito.it
Politecnico di Torino
,Corso Duca degli Abruzzi 24, Torino 10129,
Italy
e-mail: francesca.montagna@polito.it
Search for other works by this author on:
P. John Clarkson
P. John Clarkson
Cambridge Engineering Design Centre,
Department of Engineering,
Trumpington Street, Cambridge CB2 1PZ,
e-mail: pjc10@eng.cam.ac.uk
Department of Engineering,
University of Cambridge
,Trumpington Street, Cambridge CB2 1PZ,
UK
e-mail: pjc10@eng.cam.ac.uk
Search for other works by this author on:
Mohammad Hassannezhad
Cambridge Engineering Design Centre,
Department of Engineering,
Trumpington Street, Cambridge CB2 1PZ,
e-mail: mh844@eng.cam.ac.uk
Department of Engineering,
University of Cambridge
,Trumpington Street, Cambridge CB2 1PZ,
UK
e-mail: mh844@eng.cam.ac.uk
Marco Cantamessa
Department of Management and Production Engineering,
Corso Duca degli Abruzzi 24, Torino 10129,
e-mail: marco.cantamessa@polito.it
Politecnico di Torino
,Corso Duca degli Abruzzi 24, Torino 10129,
Italy
e-mail: marco.cantamessa@polito.it
Francesca Montagna
Department of Management and Production Engineering,
Corso Duca degli Abruzzi 24, Torino 10129,
e-mail: francesca.montagna@polito.it
Politecnico di Torino
,Corso Duca degli Abruzzi 24, Torino 10129,
Italy
e-mail: francesca.montagna@polito.it
P. John Clarkson
Cambridge Engineering Design Centre,
Department of Engineering,
Trumpington Street, Cambridge CB2 1PZ,
e-mail: pjc10@eng.cam.ac.uk
Department of Engineering,
University of Cambridge
,Trumpington Street, Cambridge CB2 1PZ,
UK
e-mail: pjc10@eng.cam.ac.uk
1Corresponding author.
Contributed by the Design Theory and Methodology Committee of ASME for publication in the Journal of Mechanical Design. Manuscript received January 16, 2018; final manuscript received December 28, 2018; published online March 28, 2019. Assoc. Editor: Katja Holtta-Otto.
J. Mech. Des. Aug 2019, 141(8): 081101 (17 pages)
Published Online: March 28, 2019
Article history
Received:
January 16, 2018
Revision Received:
December 28, 2018
Accepted:
January 1, 2019
Citation
Hassannezhad, M., Cantamessa, M., Montagna, F., and Clarkson, P. J. (March 28, 2019). "Managing Sociotechnical Complexity in Engineering Design Projects." ASME. J. Mech. Des. August 2019; 141(8): 081101. https://doi.org/10.1115/1.4042614
Download citation file:
Get Email Alerts
A Multi-Layer Parallelogram Flexure Architecture for Higher Out-of-Plane Load Bearing Stiffness
J. Mech. Des (July 2025)
Reading Users' Minds With Large Language Models: Mental Inference for Artificial Empathy in Design
J. Mech. Des (June 2025)
MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models
J. Mech. Des (April 2025)
Related Articles
The Effects of Language and Pruning on Function Structure Interpretability
J. Mech. Des (June,2012)
Learning-Based Preference Modeling in Engineering Design Decision-Making
J. Mech. Des (June,2001)
Gas Turbine Arekret-Cycle Simulation Modeling for Training and Educational Purposes
ASME J of Nuclear Rad Sci (October,2019)
Applied Tests of Design Skills—Part III: Abstract Reasoning
J. Mech. Des (October,2014)
Related Proceedings Papers
Related Chapters
Utility Function Fundamentals
Decision Making in Engineering Design
Preference Modeling in Engineering Design
Decision Making in Engineering Design
Is Modeling in Tribology a Useful Activity?
Tribological Modeling for Mechanical Designers