Evaluation Of Business Process Performance Based On Fuzzy Analytic Network Process

It need to optimize business processes when enterprises are face with the situation of competitive pressures, market share lost and customer satisfaction reduced, which can promote the improvement of process key performance indicators , eliminate non-value added business process link, reduce operating costs and improve product or service quality. However, if enterprises can carry out business process optimization or not depends on the improvement degree of the optimized process performance. Business process performance is the focus of attention of the enterprise and how to evaluate the performance of business processes is the research focus in management field. Therefore, it is of great significance to establish a sound business process performance evaluation system.Performance evaluation of business processes mainly includes the design of the evaluation indicators and the selection of evaluation methods. First, the article describes the research of process performance evaluation by domestic and foreign, analyzes the background of business process reengineering, gives the content , objectives and principles of business process improvement, and summarizes the methods and procedures of business process improvement. Then, The author expounds the meaning,objectives and indicators standard of business process performance evaluation. On this basis, it has established a set of business process performance evaluation of key performance indicators. Meanwhile, the article introduces several methods of process performance evaluation, focusing on the application of the basic steps of Fuzzy Analytic Network Process. Finally, it combines with the procurement business process optimization examples of A company, using FANP to evaluate original process and optimization process comprehensive.Due to the influence of various factors of the process performance are interrelated inter-related and feedback,which make the business process performance system constitutes a network structure, and because the judge evaluation about the relative importance of performance indicators has a certain degree of uncertainty and ambiguity, this article chooses FANP, combining qualitative analysis with quantitative analysis , making the results of process performance evaluation more scientific and objective. It deserves further study in the design of the evaluation indicators in different processes Performance evaluation and the comparison between the different quantitative evaluation methods.