The development of an agent-based modeling framework for simulating engineering team work

Crowder, Richard M., Robinson, Mark A. and Hughes, Helen P.N. et al. (2012) The development of an agent-based modeling framework for simulating engineering team work. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, 42, (6), 1425-1439. (doi:10.1109/TSMCA.2012.2199304 ).


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Team working is becoming increasingly important in modern organizations due to its beneficial outcomes. A team’s performance levels are determined by complex interactions between the attributes of its individual members, the communication and dynamics between members, the working environment, and the team’s work tasks. As organizations evolve, so too does the nature of team working. During the past two decades, product development in engineering organizations has increasingly been undertaken by multi-disciplinary integrated product teams (IPTs). Such increasing complexity means that the nature of research methods for studying teams must also evolve. Accordingly, this paper proposes an agent-based modeling approach for simulating team working within an engineering environment, informed by research conducted in two engineering organizations. The model includes a number of variables at an individual-level (competency, motivation, availability, response rate), team-level (communication, shared mental models, trust), and task-level (difficulty, workflow), which jointly determine team performance (quality, time to complete the task, time spent working on the task). In addition to describing the model’s development, the paper also reports the results of various simulation runs that were conducted in response to realistic team working scenarios, together with its validation. Finally, the paper discusses the model’s practical applications as a tool for facilitating organizational decision making with respect to optimizing team working

Item Type: Article
ISSNs: 1083-4427 (print)
1558-2426 (electronic)
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
ePrint ID: 338331
Date Deposited: 14 May 2012 13:34
Last Modified: 27 Mar 2014 20:21
Further Information:Google Scholar
ISI Citation Count:0

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