Intelligent Manufacturing Plan Management Based on Digital Twins

Abstract

For the multi-variety and small-batch manufacturing mode, the planning management system cannot be timely automatically adjusted according to uncertain factors.This paper proposes an intelligent manufacturing plan management system based on factory digital twins.The plan management PDCA business process model is established.In addition, the processing logic model and constraints of the periodic static scheduling model and thedynamic emergency scheduling model are proposed.Based on the planning management case of hybrid assembly of two types of aerospace complex products, it is verified that the management model proposed in this paper can support the intelligent dynamic adjustment of plans for different orders and resource states, and improve the processing efficiency of the workshop to cope with uncertain factors.