Analysis Of The Impact Of Lean Production Factors On Enterprise Performance Based On Bayesian Network

The pressure of market competition faced by modern enterprises is increasing.In order to enhance the efficiency of enterprises,the lean production model developed from the Toyota Production System has been widely adopted.Lean production uses Just-In-Time,Kanban management,Jidoka,TPM,and other lean technologies.,and the goal is to strive for excellence,perfection,and continuous reduction of costs,to achieve zero waste,zero inventory and product variety,also eliminate waste and reduce non value-added activities,increased value-added activities and maximization of enterprise performance,and overall corporate-wide profits.China's “13th Five-Year Plan” has clearly pointed out the implementation of the manufacturing power strategy and improving the quality and efficiency of supply,which is very consistent with lean production,so it is necessary for manufacturing enterprises to implement lean production.However,at present,the depth of lean production is not enough for many enterprises at home and abroad,the accuracy of lean technology is still deficient,and the performance evaluation system of lean technology is lack.How to effectively measure the impact of lean production on enterprise performance is the object of this study.This paper uses Bayesian network and scenario analysis as a tool to study the impact of lean production technology on enterprise performance,and try to help companies avoid the risks in the implementation of lean technology.The paper will analyze the impact of different lean technology combinations on the financial performance and non-financial performance of the company in lean production,in which four performance indicators,such as flexibility,reliability,quality and time,will be adopted.Financial performance,non-financial performance and sustainability are determined as performance decision variables.Bayesian networks will be used to build inference models.Using simulation based on scenario analysis inference methods,three different scenarios will demonstrate the impact of lean technology enhancements on enterprise performance.The results show that the application of lean technology can effectively enhance the company's performance level,but to a certain extent,there is a “marginal benefit” that requires a more in-depth and accurate analysis.Then,by considering the risk of using lean production to solve the problem of reducing waste in enterprises,the efficiency of lean technology can be improved.A simple illustration of the problem of excess inventory explains how to avoid risks in lean production.Secondly,a risk model is proposed through the study of manufacturing process.Through describing the overall process,it discusses how to apply Lean technology to reduce waste.Then the risk model is use to identify the risks in the process and quantify their possibilities and consequences.Through the risk management of lean technology application,studies have shown that companies with limited resources can,to a certain extent,provide risk factors that need to be given priority in avoiding circumvention so that they can effectively increase the efficiency of lean technology when they achieve the goal of reducing waste.Through the research and analysis of this paper,it can effectively provide decision support to corporate decision makers,which is of great significance for the enterprises to continue to promote lean production and improve the core competitiveness.