QoS Analysis and Optimization of Business Processes
Zhang Yicong, Yongqing Zheng, Shidong Zhang · 2018
With the development of modern society, business processes are widely used, and they play an important role in peo-ple's daily life. In government agencies, there are many business processes employed to deal with different kinds of transactions. Such as one of the medical insurance refund processes is used to claim for maternity insurance. In order to analyze, evaluate and optimize the business process in different situations, this paper develops to use the queueing network theory to establish the corresponding business process model. Then apply this model to analyze the performance of the business process by using four performance metrics i.e., average queue length, average job sojourn time, job arrival intensity and throughput. Finally, this paper optimizes the business process based on three situations. It has been proven that the optimization methods are scientific and the business process after the optimization is more efficient.