Collaborative Optimization Of Spare Parts Based On U Enterprise Supply Chain

With the continuous progress of science and technology,personal consumer electronic products and intelligent terminal equipment are rapidly popularized and miniaturized.As the production manufacturing of such electronic products cannot be done without high-precision automatic assembly equipment,the SMT processing enterprises' demand for high-precision automatic equipment continues to rise.At present,high-precision automation equipment of SMT is still dependent on import,and the timeliness of after-sales spare parts support service of automation equipment is an important guarantee factor affecting the orderly operation and sustainable development of automation equipment vendor and their terminal customers' electronic processing and manufacturing enterprises.In this paper by analyzing the relation between the U enterprise and its terminal customers,the spare parts supply problems,accessories inventory to multiple end users through analyzing the actual situation,found that U company has multiple end users have thir own emergency accessories inventory in same area,but the spare parts inventory information are independent,and the end users' parts shortage problem occurred frequently.To reduce machine downtime that cause by the parts shortage issue,the U company need coordinate the end customers to accessories secondment work to shorten the parts response time.Based on the actual needs of the end customers of U company,this paper conducts research and analysis to reduce the equipments' downtime that caused by parts' problem.Firstly,the research background and significance are introduced.Secondly,it introduces the related theories and methods of automation equipment spare parts management.Then analysis U enterprise spare parts supply chain structure and operation mode,using the ABC classification to classify G series equipment spare parts,based on G series equipment of spare parts optimization scheme,as well as the spare parts inventory optimization scheme based on parts classification,based on the optimization scheme for U company's three end customer spare parts inventory for the collaborative optimization of flexible deployment in N area.Collect and breakdown the end users' equipment downtime,found the troubleshooting time greater than 41% of the total downtime,base on it,puts forward equipment classification,issue troubleshooting,prevention,the optimization of the scheme,how to improve the life time of parts,improve the efficiency of equipment troubleshooting;Put forward corresponding preventive and improvement measures according to different fault causes.According to the fault frequency and characteristics of different parts,different quantitative analysis and prediction methods are used for optimization and improvement.For example,Spass tool software is used for quantitative analysis and prediction of Cont11 control parts.At the same time,Minitab tool was used to simulate and verify Cont11,and the error between the simulation result and the actual demand was less than 10%.For some parts with a long life(>5 years),according to the bathtub curve theory,and the MTBF method is used to predict the demand of such parts.By gathering the inventory information of the end customers' parts for optimization and coordination,the downtime of the client equipment was significantly improved,from 8.7% to 4.6%,and the malfunction of abnormal parts decreased by 70%.N regional customer' G series equipment accessories without inventory ratio is reduced to 17%,at the same time U enterprises can got detail information about spare parts inventory and use condition of end customer,these data can support Shanghai warehouse do parts inventory adjustment,and effectively reduce the U their own parts inventory and cost,reduce the risk of parts out of stock.