A Study on Assessment of Business Process Modeling Tool with the Application of the Grey Relational Analysis

Abstract

Business Process Modelling (BPM) plays a crucial role in connecting corporate policies with IT platform implementation to ensure business benefits. By integrating procedure, functional, organizational, and information perspectives with key metrics such as costs, cycle times, and responsibilities, BPM provides a foundation for assessing value chains, activity-based costs, bottlenecks, critical routes, and inefficiencies. In today's business landscape, both management and BPM are increasingly recognized as vital components. To facilitate the integration of modelling partners and BPM technologies, BPM tools have emerged as effective solutions. These tools enable the presentation and operational management of associated models to relevant parties. The Multi-Criteria Decision-Making (MCDM) is used to analyse the data and deriving the results. In the context of Multi-Criteria Decision-Making (MCDM), selecting the most suitable business activity modelling tool among the available options becomes imperative. This study proposes an approach based on the Grey Relational Analysis (GRA) method to assist businesses in making informed decisions and choosing the optimal business policy modelling technology. The objective is to enhance the effectiveness, affordability, and security of the business procedure modelling process. Using GRA analysis, this research ranks a set of BPM tools, namely GDToolkit, JPetriNet, and ADONIS: CE, TimeNet, Jfern, and GreatSPN. The findings reveal the following order: GDToolkit (1st), JPetriNet (2nd), ADONIS: CE (3rd), TimeNet (4th), Jfern (5th), and GreatSPN (6th). The analysis indicates that GDToolkit is the preferred BPM tool, offering the most desirable features, while GreatSPN is considered the least preferred option. Overall, this research demonstrates the effectiveness of employing Grey Relational Analysis as a decision-making tool for selecting appropriate BPM technologies. By utilizing GRA, businesses can make informed choices that lead to more effective, affordable, and secure business process modelling, thereby enhancing their operational efficiency and competitiveness.