Scheduling Optimization For Production Line With Multi-variety And Small Batch

In the increasingly competitive automotive market,both enterprises and superior customers have put forward more requirements on the manufacturing level of manufacturing units.First,the production cycle of auto parts is required to be compressed.Secondly,customer demand for products has gradually evolved from popularization and simplification to diversification and individualization.Thirdly,the production method has also changed from mass production to multiple varieties and small-scaled production.In recent years,as a small and medium-sized company,A company’s stamping products have also changed from mass production to multi-variety and small-batch production,but it still uses the inventory-oriented production management model,resulting in serious warehouse backlogs.Since the existing resources cannot meet the zero inventory requirements for order-oriented production,this article proposes a hybrid production model that combines inventory-oriented and order-oriented production,that is,to give full play to the advantages of order-oriented production mode to reduce inventory and reduce operating risks,and prepare for safety.Inventory is used to ensure timely delivery when emergencies occur.This is a highly flexible and universal production method.This paper analyzes the production schedule of the stamping shop as the main research object,establishes a mathematical optimization model,solves the mathematical model,and finally verifies it with an example of a test production plan.details as follows:(1)Analysis--Investigate the production status of A company,adjust the spare 5-day stock in inventory production to a safety stock with a minimum delivery volume in one day,and propose a company A stamping workshop to implement an order-oriented production model.(2)Modeling--From the analysis of the direction of cost loss of A company,the main optimization goals are the satisfaction of delivery time,the efficiency of stamping production and the utilization rate of the machine.A comprehensive objective function is established through the linear weighting method,and the process sequence,process uniqueness and production priority are established.Etc.as constraints,establish a mathematical optimization model.(3)Solving--Research on solving the production scheduling problem based on genetic algorithm,including genetic operator design,data coding,iteration stopping rules,etc.On the basis of the above static production scheduling,the dynamic operation plan and dynamic production scheduling mechanism are studied,and the rolling window technology is combined to solve the problem of dynamic production scheduling.(4)Verification--Taking the daily production plan of the test production line as an example,the genetic algorithm is used to carry out simulation solution and verification,and the optimal production schedule Gantt chart is obtained to verify the static optimization schedule.Study common dynamic problems(such as new general orders arriving at any time,urgent orders arriving at any time,etc.),and verify the feasibility of the plan through A company’s daily order scheduling.