ABSTRACT
In a modern manufacturing system, each part of the system needs to make decision independently. Production scheduling and control [1"2] is regard as a pivotal technology to realize agile production where various constraints need to be satisfied by choosing and configuring different resources, and different production scheduling and control strategies and methods. Confronted with the complexity of manufacturing environment, manufacture system, and manufacturing process, how to abase this complexity is an important problem to realize production scheduling and control effectively. Production scheduling and decision-making are a multiple objective optimization problem where local decision-making and optimization lie at each phase of production scheduling and control. So, in the paper, workshop scheduling and control is regard as distributed problem solving based on MAS [3~5].
