Multi-agent-based workload control for make-to-order manufacturing

Abstract

Workload control is a production planning and control concept designed to meet the need of the make-to-order industry. In this paper, a multi-agent workload control methodology that simultaneously addresses due date setting, job release and scheduling is proposed. To be consistent with just-in-time production, the objective of minimizing weighted job earliness and tardiness is used. Two new rules are developed, by introducing a feedback mechanism, to set job due dates dynamically. These two new rules implicitly include job pool times and, thus, eliminate the need to estimate job pool times in the presence of workload control. At the critical norm defined in this paper job release control can reduce average job flowtime and work-in-process inventory, without worsening earliness and tardiness, and lead-time performances. The proposed methodology is implemented in a flexible job shop environment. The computational results indicate that the proposed methodology is very effective for production planning and control in make-to-order companies. In addition, the proposed methodology is extremely fast and can be implemented in real time.