Approach for a simulation-based and event-driven production planning and control in decentralized manufacturing execution systems

Abstract

Short-term production planning and control (PPC) is still human centered. Unplanned events disturb manufacturing processes and require a quick rescheduling. However, these planning processes are complex tasks in which the employee has to be supported. In addition to the need of a real-time information set, the acquisition of which is supported by new technologies, an assistant system has to facilitate decision making in today’s PPC. This paper presents an approach for an event-driven PPC based on a manufacturing ontology, simulation and optimization. The approach leads to an enhancement of current production systems on the basis of decentralized manufacturing execution systems (MES).