A Knowledge-based Approach for Business Process Analysis

• Main Authors: Chun-mao Chu, 屈君懋
• Other Authors: Liang, Ting-Peng
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/03091496391947221494

碩士 === 國立中山大學 === 資訊管理學系研究所 === 98 === Business Process (BP) design reflects managerial needs and may directly influence business performance. A good design could substantially increase managerial performance, while a bad one would be inefficient, lack of flexibility, mess cost effective and eventually miss the business strategy. The widespread of information technology has raised the need to redesign or modify business processes in order to fit the trend of automation and computerization. As a result, business process reengineering (BPR) has gained much attention in 1990s. In recent years, a new paradigm, called Service Science, Management and Engineering (SSME), becomes a new management innovation. Service process design becomes a new science that can be applied to support service innovation and management. Previous research on BPR includes two major directions: one focuses on managerial aspects of business processes, including the planning, implementation, and critical factors of BPR; the other focuses on the design aspects pf business processes with a target of making processes more efficient. For research on process design, most deal with the syntactic structure of the process. They analyze the syntax structure of a process. This can help find design errors such as deadlocks, livelocks, and even infinite loops in a process. Not many studies have investigated whether a process design meets its managerial goals. This research presents a knowledge-based approach to dealing with the managerial issue of whether a process design matches specific managerial goals. This thesis contains a new business process modeling method that allows a business process to be diagnosed by knowledge-based rules. We have defined three managerial goals in process design: effectiveness, efficiency, and flexibility. Each activity in a business process has its goal. Through the analysis of activities and their associated goals, we can determine whether a business process is properly designed. In order to show the feasibility of the proposed approach, we have implemented a JAVA-based prototype expert system and used it to check two sample business processes. The contributions of the study are two-fold. Academically, it proposed a new approach for business process diagnosis, which can help determine whether a process meets its managerial goal. In practice, businesses can use the concepts developed in the thesis to make their business processes more effective by matching activities with intended managerial goals.