DocumentCode :
3728514
Title :
Identifying key factors in agent-based simulation model on processes in time-constrained environment
Author :
Yim Ling Loo;Alicia Y.C. Tang;Azhana Ahmad
Author_Institution :
College of Graduate Studies, Universiti Tenaga Nasional
fYear :
2015
Firstpage :
71
Lastpage :
76
Abstract :
Processes in time-constrained environment which could be known as works or tasks with deadlines became a part of life in most areas. Efficiency of life is even measured by the ability of an individual in meeting deadlines. Due to this reality, agent-based simulation systems ventured into simulating tasks with deadlines as a measure to maximize the efficiency of work. However, due to propriety nature of the existing research works, similar research works could find no means of reusing or replicating results from the existing models developed. This paper discusses the existing research works together with limitations that are hindering the evolution of agent-based simulation modelling for tasks with deadlines. Within this paper, key factors in agent-based model for simulating tasks with deadlines are identified, which further refine the existing conceptual model that address the limitations found.
Keywords :
"Object oriented modeling","Adaptation models","Job shop scheduling","Predictive models","Time measurement","Multi-agent systems","Robots"
Publisher :
ieee
Conference_Titel :
Agents, Multi-Agent Systems and Robotics (ISAMSR), 2015 International Symposium on
Type :
conf
DOI :
10.1109/ISAMSR.2015.7379773
Filename :
7379773
Link To Document :
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