Study On The Process Optimization Of Government Procurement E-commerce Platform Of City A

In the context of the rapid development of the Internet,government procurement is also following the trend of the times.In recent years,the trend of the construction of the “electronic mall” as a new form of government procurement has gradually emerged in China.All provinces and municipalities are actively building local government procurement e-commerce platform.For government procurement,the long time and low efficiency has always been the concerned,so in the process of building a government procurement e-commerce platform,committed to shorten the procurement time and improve the procurement efficiency of government procurement have a positive impact.The research object of this article is the government procurement e-commerce platform of City A,and the research question is purchase time,and the optimization goal is to shorten the procurement time.Through a combination of qualitative and quantitative methods to optimize its procurement process of this article.First of all,through the IDEF0 functional analysis method,the procurement process of the government procurement e-commerce platform of City A is decomposed layer by layer and decomposed into 20 sub-activities.By comparing the time-consuming activities of sub-activities,we can find the links that can shorten the procurement,and make a preliminary optimization.Second,this article will be further optimized through data analysis.it conducts a cluster analysis on the purchase orders of the government procurement e-commerce platform of City A in 2016-2017,and clusters the five fields of purchase amount,quantity,supplier,procurement time and combination purchase,This article classifies procurement based on clustering results and analyzes the characteristics of different categories and the importance factors that influence the purchase time.,and based on the conclusions obtained for further optimization.At last,through preliminary and further optimization,in this paper,a total of 5 points of optimization proposals are proposed to achieve the goal of shortening procurement time and increase purchasing efficiency by 32%.