Research On Knowledge Rules System Of Computer-Aided Business Process Reengineering System

It has become an urgent task to develop integrated CABPRS (Computer-Aided Business Process Reengineering System), in order to improve the quality and efficiency of reengineering work, and to reduce the risk and cost of reengineering project. CABPRS is a software system which is used to assist and support each step of process reengineering with information technology and computer tools. At present, the assistant functions of "first generation" CABPRS are mainly confined to three areas: visualized process design, dynamic simulation and automated statistical analysis, still lack of support for core activities (process optimization and redesign) of process reengineering. Therefore, the cry for more powerful "second generation" CABPRS is increasingly urgent. It is deeply hoped that such software tools have more powerful analytical capacity and can support deep knowledge and specialized expertise required for intellectual activities of process reengineering.To solve the problem, this paper researched on the processing and application method of reengineering knowledge and experiences in computer in terms of knowledge rules, and laid a theoretical foundation for developing more powerful CABPRS software tools in future by adding some intelligence into it. Meanwhile, through researches on the process of process reengineering, this paper summarized the system functions of CABPRS. And by extending the manner from direct assist of BPR activities to systematic support of BPR processes, this paper enhanced the assistant functions of CABPRS.Besides, this paper proposed the triple items of knowledge rules definition, and established corresponding CABPRS knowledge rules system according to think mode and knowledge rules system of BPR experts. Also, this paper conducted a in-depth research on knowledge rules system of three steps of process reengineering, including process description and modeling, process simulation and analysis, process optimization and redesign. Meanwhile, this paper opened up the "black-box" of subsystem of process optimization and redesign, analyzed its module structure and realization technology. This paper focused on the application of Artificial Intelligence Logical Reasoning Methods in process optimization area and gave demonstrations. By realizing the assist and support for intellectual activities in process reengineering, this paper also complemented the assistant functions of CABPRS. According to the thinking process of problem proposing, problem analyzing and problem solving, this paper is divided into 8 chapters: Chapter 1 proposed the major problems of this research; Chapter 2 and 3 analyzed the problem, Chapter 2 analyzed the system structure of CABPRS, Chapter 3 analyzed the knowledge rules system and black-box of process optimization and redesign. Chapter 4, 5 and 6 discussed the knowledge rules system of three steps of process reengineering, including process description and modeling, process simulation and analysis, process optimization and redesign, in order to solve the proposed problems. The knowledge rules system of process optimization and redesign was the focus of this discussion. Chapter 7 proposed the Knowledge-Based Capacity Maturity Model for BPR from a knowledge management perspective. This model provided the reference and guideline for continuous process improvement in organization. Chapter 8 summarized the research of this paper and ended up with an outlook for future research.