Modeling and Analyzing Cultural Influences on Project Team Performance
Computational & Mathematical Organization Theory
An agent-based dynamic routing strategy for automated material handling systems
International Journal of Computer Integrated Manufacturing
Multi-agent resource allocation (MARA) for modeling construction processes
Proceedings of the 40th Conference on Winter Simulation
International Journal of Computer Integrated Manufacturing
A Multi-Agent Resource Negotiation for the Utilitarian Welfare
Engineering Societies in the Agents World IX
Flexible coordinator design for modeling resource sharing in multi-agent systems
Journal of Systems and Software
A new autonomous agent approach for the simulation of pedestrians in urban environments
Integrated Computer-Aided Engineering
Multi-agent approach to power distribution network modelling
Integrated Computer-Aided Engineering - Multi-Agent Systems for Energy Management
Agent-based coordination techniques for matching supply and demand in energy networks
Integrated Computer-Aided Engineering - Multi-Agent Systems for Energy Management
Multi agent systems: An example of power system dynamic reconfiguration
Integrated Computer-Aided Engineering - Multi-Agent Systems for Energy Management
Integrated Computer-Aided Engineering - Data Mining in Engineering
Agent-based cloud workflow execution
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
Integrated Computer-Aided Engineering
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Collaborative Product Development CPD process is characterized by autonomous task control, dynamic task sequence, and frequent team collaboration, which endow the process with high flexibility and uncertainty. To make the process predictable and improve process efficiency, it is essential to model, simulate, and analyze the process by considering all these characteristics. As most CPD models are developed to simulate task structures and task-flow process, our work focuses on studying the human working behaviors in CPD process by agent-based simulation, which we think is the main source of process uncertainty and flexibility. In this paper, the local task scheduling behavior of designer agents and the resource conflict resolution behavior of the manager agent are studied under the framework of agent-based simulation. In the simulation, the designer agent schedules his local tasks according to his personal priority, and the manager agent resolves resource conflicts according to collective utility function. To make the process more efficient, a collective utility function is developed for the manager agent, in which task priority, spare resource, and waiting time are considered simultaneously. To validate the effectiveness of the collective utility, simulation experiments are designed and carried out among entire-waiting utility, entire-replacement utility, and collective utility strategy. The simulation results indicate that the proposed utility strategy can effectively shorten the project total time and cost of the case. There are two engineering applications of this approach. First, by simulating and evaluating different task scheduling and resource conflict resolution behaviors of the agents, designers and managers can adopt suitable scheduling strategies at the planning stage of the CPD project. Second, in the executing process of the CPD project, the proposed scheduling priority and utility functions can be used in the dynamic scheduling by developing software agents in the CPD management systems.