Proposed assessment model to determine the best association mining technique related to business processes re-engineering

model

Abstract

Enterprises are human resources that are formed into organizational structures and consume material and financial resources to provide society with service or product. Enterprises are constantly changing to keep pace with the changes that occur in the environment of their services or products. There are several techniques and tools that enable an organization to keep pace with the changes occurring in its environment. One of these techniques is business process re-engineering. Business process re-engineering means making a radical modification in the enterprise’s business processes for the enterprise to continue to keep pace with its changing environment. Business process re-engineering is dangerous if it fails. Failure in the task of business processes re-engineering means that the enterprise cannot keep up with the changes and at the same time cannot remain in the state it was in. There are critical success factors in business process re-engineering. Many efforts tried to employ data mining techniques in business processes re-engineering. In this paper, we will propose assessment model to determine the best association mining technique related to business processes re engineering. The proposed assessment model contents of five stages as the following: Data preparation related to business process re-engineering, Algorithm selection, Implementation of selected algorithms, Evaluate the performance related to business process re-engineering, Determining the results. The proposed model aims to implement and examine a set of correlation and association algorithms on an available data set related to business process re-engineering and compare the results based on business processes re-engineering performance factors. The proposed model also relied on mathematical analysis of the algorithms chosen to be implemented in this study. According to that, the methodology using in this study will be based on two stages: The first stage: The methodology of mathematical theoretical analysis for choosing set of algorithms. The second stage: The methodology of experimental implementation and comparison of results based on business processes re engineering performance standards.