Research On Method Of Advanced Planning And Scheduling For Make-to-order

Based on the summarization of the actuality of advanced planning and scheduling (APS) issue,flexible Job shop APS and mixed-model assembly line APS are regarded as the studying focus.A multi-objective model,in which production efficiency,machine usage rate and satisfaction degree of due date are optimized synthetically,is built to solve production system oscillation caused by unexpected disturbances and high frequency dynamic advanced planning and scheduling in flexible Job shop.A multi-level model, which included similarity of products on every production level,is proposed to avoid misloading and underloading key components caused by frequent product changes in mixed-model assembly line.A hybrid algorithm of genetic & particle swarm optimization algorithm is proposed.The master and slave chromosomes structure and the arithmetic operators of coding,reproduction crossover and mutation are designed.Inspired by the rolling horizon optimization method,a variable periodic and event driven rolling horizon dynamic advanced planning and scheduling is utilized.Qualitative and quantitative research on order disturbances,dynamic advanced planning and scheduling time is got. Combined with the production characteristics of the vehicle axle company,design proposal,use case model,function model and database model are built.An advanced planning and scheduling software is developed,and validates the feasibility and effectiveness of the research.