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

  • Authors:
  • José A. Rojas;Ronald E. Giachetti

  • Affiliations:
  • -;-

  • Venue:
  • SIMUL '09 Proceedings of the 2009 First International Conference on Advances in System Simulation
  • Year:
  • 2009

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Abstract

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.