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Advisor(s)
Abstract(s)
In the nowadays highly unstable manufacturing
market, companies are faced, on a daily basis, with important
strategic decisions, such as “does the company has the necessary
capacity to accept a high volume order?” or “what measures need
to be implemented if the product demand increases x% a year?”.
Decision-makers, i.e. company’s managers, rely on their
experience and insights supported by classical tools to take such
decisions. Classical mathematical solvers or agent-based systems
are typical architectural solutions to implement strategic planning
tools to support decision-makers on this important task. Within
the ARUM (Adaptive Production Management) project, a hybrid
strategic planning tool was specified and developed, combining the
optimization features of classical solvers with the flexibility and
agility of agent systems. This paper briefly presents such
architecture and focuses on the generation of the “what-if game”
mechanism to support the generation of more intelligent and
dynamic planning solutions.
Description
Keywords
Strategic production planning Multi-agents systems What-it game simulation
Citation
Leitão, Paulo; Rodrigues, Nelson; Barbosa, José (2015). What-if game simulation in agent-based strategic production planners. In 20th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. Luxembourg. p.1-8. ISBN 978-1-4673-7929-8