Intelligent Work Allocation Modeling on a Hardmetal Production Plant

Allocation problems are one of main problem targets to apply today s agent based com puting They can be found in a large specter do mains ranging from production task scheduling to resource allocation or distribution problems How ever there are cases where agents even being au tonomous do not decide what to do without hu man intervention and decision Most of these cases are concerning with economic aspects If we have a scenario where decision making is inherently de centralized and the agents with the ability to act rationally must to deal with resource allocation problems it is possible to integrate economic prin ciples in such kind of problems This paper presents and describes the work related to the application of economic decision approaches to a hardmetal pro duction simulation system Such process provided a new model where system s agents have the ability to control intelligently work allocation in each produc tion stage improve cooperation among production agents and optimize overall system performance