Revistes Catalanes amb Accés Obert (RACO)

Distributed fuzzy decision making for production schedulling

Thomas A. Runkler, Rudolf Sollacher, Wendelin Reverey


In production systems, input materials (educts) pass through multiple
sequential stages until they become a product. The production stages
consist of different machines with various dynamic characteristics. The
coupling of those machines is a non-linear distributed system. With a
distributed control system based on a multi-agent approach, the produc-
tion system can achieve (almost) maximum output, where lot size and lot
sequence are the most important control variables. In most production
processes high throughput and low stock are conflicting goals. In order to
compare and compensate between these multiple goals, a fuzzy decision
making approach is employed here that decides about the material flow
and machine states, based on variables like working load or order queue

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