Abstract
Modern organisations are large complex systems operating in an increasingly dynamic environment, and are tasked to meet their competitive goals by adopting suitable courses of action. The decisions to select effective courses of action call for deep understanding of various aspects of organisation such as its goals, structure, business-as-usual operational processes, and overall business dynamics. The current state-of-practice of decision-making that relies heavily on human experts is often reported as inadequate. This research proposes an actor-based simulation platform as an analysis aid to evaluate the efficacy of decision alternatives with increased precision and rigour in the context of complex dynamic decision making.
It is an external doctoral programme started in November 2014. Guides: Prof. Tony Clark (Sheffield Hallam University, UK), Prof. Balbir Barn (Middlesex University, UK) and Vinay Kulkarni (Tata Consultancy Services Research, India).
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Barat, S. (2018). An Actor-Based Bottom-Up Simulation Aid for Complex Dynamic Decision Making. In: De la Prieta, F., et al. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. PAAMS 2017. Advances in Intelligent Systems and Computing, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-61578-3_36
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DOI: https://doi.org/10.1007/978-3-319-61578-3_36
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