Structural Similarity Analyze of Bussiness Process Model using Selective Reduce based on Petri Net
Structural Similarity Analyze of Bussiness Process Model using Selective Reduce based on Petri Net
Author : NIILA SYUKRIILAH; DANA SULISTYO KUSUMO Published on : ICoICT 2015
Abstract
It is exceedingly possible for an organization to have similarities, differences, and varieties among its business processes. To coordinate and make those processes effective and efficient, similarity and difference analysis among existing processes becomes necessary. Business Process Similarity (BPS) is an activity to identify the similarity of two different business processes. In this research, we analyze the similarity of structure of business processes using selective reduce method as a part of graph reduction method, which reduces graph variant over query. The modeling of business process in this research implements Petri Net notation to identify similar activities among different business processes. The result of this study asserts that the degree of similarity depends on node query and variant. Variant with more complete node than query will be reduced/ simplified. The degree of similarity of variant with less complete node than query is below 100%. By means of selective reduce method, the degree of structural similarity will depend on query (subject of comparison) and variant (object of comparison) relative to intended purposes for simplification, adjustment, or inspection of sections between two business processes.
