Challenges of simulating teamwork in organizational scenarios

Reuter, Lukas; Timm, Ingo J.

doi:10.1109/wsc.2017.8248195

Cited by 4 publications

(2 citation statements)

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“…NFC is designed for enabling complex decision-making with controllable conditions [45]. The combination of laboratory experiments and MAS, is a promising approach to allow for human decision-making in agents [46,47]. By reallocation and goal-directed usage of given resources, NFC addresses core challenges of modern logistic processes and is therefore appropriate environment for analyzing performance effects of varying role configurations.…”

Section: Case-study: Effects Of Roles and Process Configurationsmentioning

confidence: 99%

Analyzing the Effects of Role Configuration in Logistics Processes using Multiagent-Based Simulation: An Interdisciplinary Approach

Timm¹,

Reuter²,

Ulfert³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Current trends like the digital transformation and Industry 4.0 are challenging logistics management: flexible process development and optimization has been a primary concern in research in the last two decades. However, flexibility is limited by its underlying distribution of action and task knowledge. Thus, our objective is to develop an approach to optimize performance of logistics processes by dynamic (re-) configuration of knowledge in teams. One of the key assumptions for that approach is, that the distribution of knowledge has impact on team's performance. Consequently, we propose a formal specification for representing active resources (humans or smart machines) and distribution of action knowledge in multiagent-based simulation. In the second part of this paper, we analyze process quality in a psychologically validated laboratory case study. Our simulation results support our assumption, i.e., the results show that there is significant influence of knowledge distribution on process quality.

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Section: Case-study: Effects Of Roles and Process Configurationsmentioning

confidence: 99%

Analyzing the Effects of Role Configuration in Logistics Processes using Multiagent-Based Simulation: An Interdisciplinary Approach

Timm¹,

Reuter²,

Ulfert³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

“…Agent-based simulation modeling's ability to represent each team member as an autonomous agent with its own characteristics, behaviors, and goals provides a suitable framework to model and analyze team processes. Although ABSM has been used to study team processes in nonhealthcare contexts, [30][31][32][33] to our knowledge, ABSM has not been used to investigate team processes for trauma resuscitations.…”

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confidence: 99%