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- Title
Process Discovery and Refinement of an Enterprise Management System.
- Authors
Ahmed Khan, Faizan; Ahmad, Farooq; Khan, Arfat Ahmad; Chitapong Wechtaisong
- Abstract
The need for the analysis of modern businesses is rapidly increasing as the supporting enterprise systems generate more and more data. This data can be extremely valuable for executing organizations because the data allows constant monitoring, analyzing, and improving the underlying processes, which leads to the reduction of cost and the improvement of the quality. Process mining is a useful technique for analyzing enterprise systems by using an event log that contains behaviours. This research focuses on the process discovery and refinement using real-life event log data collected from a large multinational organization that deals with coatings and paints. By investigating and analyzing their order handling processes, this study aims at learning a model that gives insight inspection of the processes and performance analysis. Furthermore, the animation is also performed for the better inspection, diagnostics, and compliance-related questions to specify the system. The configuration of the system and the conformance checking for further enhancement is also addressed in this research. To achieve the objectives, this research uses process mining techniques, i.e. process discovery in the form of formal Petri nets models with the help of process maps, and process refinement through conformance checking and enhancement. Initially, the identified executed process is reconstructed by using the process discovery techniques. Following the reconstruction, we perform a deep analysis for the underlying process to ensure the process improvement and redesigning. Finally, some recommendations are made to improve the enterprise management system processes.
- Subjects
ENTERPRISE software; CONFIGURATION management; PROCESS mining; DATA extraction; INFORMATION storage &; retrieval systems; DATA science
- Publication
Computer Systems Science & Engineering, 2023, Vol 44, Issue 3, p2019
- ISSN
0267-6192
- Publication type
Article
- DOI
10.32604/csse.2023.023490