Abstract
In this paper, we develop dynamic models for production scheduling, machine maintenance planning, and machine capacity control. Specifically, differential equation based models are used to characterize real-time dynamics that span from controlling machinery capacity to production and maintenance planning. Based on these dynamic models, distributed feedback control algorithm which is performed upon discrete-event simulation using each part's and machine's local information is developed to determine the production and the machine maintenance event scheduling while controlling the machine capacity in a unified manner.
