Agent-based strategic planner for the production of samll lots of complex products: theoretical and practical perspectives
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This paper presents a strategic planner that assists the decision-makers to take strategic decisions
on short term to respond faster and efficiently to unexpected events in the ramp-up production of
complex and highly customized products, namely in situations of peak of demand, late change
requests and immature technology. This tool combines the flexibility of multi-agent systems with
the optimization capability of mathematical optimization solvers. The application of the strategic
planner is illustrated by playing iterative what-if games supporting implementation of mitigation
strategies addressing a real use case of a peak demand of a specific product.
