Research On Optimization Of Automobile Order Lead Time Based On DMAIC

At current stage,China has become the world’s largest auto market,major auto brands enter China,domestic and foreign auto manufacturers launched fierce competition.As a leading enterprise in the industry,company D has always attached great importance to the needs of customers.In order to satisfy customers,company D has conducted a long-term follow-up research on its potential customers,and found that the order delivery cycle has become one of the important factors for company D to gain advantages in competition.In this paper,the Lean Six Sigma DMAIC analysis tool is used to analyze the order delivery cycle of D company.The qualitative and quantitative methods are used to find problems and optimize the processes,so as to enhance the competitiveness of the company.Order delivery cycle involves many departments and processes.In this essay,the main research on D company is reflected in the sales order part,that is,from the order input into system to wholesale.The other parts are briefly introduced.Therefore,the research on order delivery only focuses on the accuracy of sales order forecast and the optimization of order execution management process,and puts forward the corresponding optimization management measures.In the order forecast accuracy analysis,this essay starts from the research on the dealers’ demands forecasting ability,combined with the analysis of the research results,we know that the forecasting methods and methods of company d have a lot of room for improvement.Therefore,in order to improve the accuracy and scientificity of the order demand forecast.Firstly,this essay forecasts the actual automobile sales orders of company D by using the moving average method and the exponential smoothing method,and verifies the results.Finally,it is proved that the model established based on the exponential smoothing method can effectively predict the sales order of company D,greatly improving the prediction accuracy and scientificity.Secondly,we also use ABC classification method,which greatly simplifies the types of vehicle models to be predicted and reduces the difficulty of prediction.Finally,this essay makes accurate balance and adjustment of the order demand forecast by the way of multi-party collaborative forecasting,combined with production equilibrium and task-oriented,so that the forecast result is closer to the market demand.In order execution management process analysis,this essay uses fishbone analysis method and data comparative analysis method,focusing on the analysis of effective orders,available funds and available resources in order execution.In the fishbone analysis method,through the in-depth analysis of problems,we divide the dealers into several categories,and find out the problems for the poor performance dealers;in the data comparative analysis method,through the horizontal and vertical comparative analysis of order execution ratio,funds coverage ratio,and available resource structure,we find out the important problems affecting the order execution,and finally summarize the findings The key factors that affect the order delivery cycle are discussed.Finally,in view of the problems found,this essay puts forward the optimization design of demand forecasting and order execution,and verifies the effectiveness of the optimization from the overall effect,operation process and user experience.From the perspective of delivery cycle,the original 32 days was shortened to 21 days,and the order execution time was also shortened from the original average of 14 days to an average of 3 days due to the upgrade of order management mode.The research in D company’s order demand forecast and order execution management process optimization can provide some enlightenment for the automobile industry.