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An Agent-Based Simulation Model to Analyze Team Performance on Jobs with a Stochastic Structure

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2 Author(s)
José A. Rojas ; Dept. Ind. & Manage. Eng., Univ. del Turabo, Gurabo, PR, USA ; Ronald E. Giachetti

Teams can be designed to optimize their performance. There is a need for computational tools to study and design teams. We present an agent-based simulation model, called team coordination model (TCM), of the collaborative processes engaged in by teams working under well-defined, but dynamic job environments. The job environment is modeled as a conditional network of tasks with deterministic and stochastic interdependencies between activities. The team members are modeled with communication, task processing, and decision making functions. A scenario was developed based on the Race Committee for a sailboat racing. The team coordination model was used to study the Race Committee and recommend a design configuration that improve its performance.

Published in:

Advances in System Simulation, 2009. SIMUL '09. First International Conference on

Date of Conference:

20-25 Sept. 2009