비즈니스 프로세스 재 설계의 반 자동화 연구
The study of a full cycle semi-automated business process re-engineering: A comprehensive framework
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This paper presents an idea and framework to automate a full cycle business process management and re-engineering by integrating traditional business process management systems, process mining, data mining, machine learning, and simulation. We build our framework on the cloud-based platform such that various data sources can be incorporated. We design our systems to be extensible so that not only beneficial for practitioners of BPM, but also for researchers. Our framework can be used as a test bed for researchers without the complication of system integration. The automation of redesigning phase and selecting a baseline process model for deployment are the two main contributions of this study. In the redesigning phase, we deal with both the analysis of the existing process model and what-if analysis on how to improve the process at the same time, Additionally, improving a business process can be applied in a case by case basis that needs a lot of trial and error and huge data. In selecting the baseline process model, we need to compare many probable routes of business execution and calculate the most efficient one in respect to production cost and execution time. We also discuss the challenges and limitation of the framework, including the systems adoptability, technical difficulties and human factors.
Abstract
This paper presents an idea and framework to automate a full cycle business process management and re-engineering by integrating traditional business process management systems, process mining, data mining, machine learning, and simulation. We build our framework on the cloud-based platform such that various data sources can be incorporated. We design our systems to be extensible so that not only beneficial for practitioners of BPM, but also for researchers. Our framework can be used as a test bed for researchers without the complication of system integration. The automation of redesigning phase and selecting a baseline process model for deployment are the two main contributions of this study. In the redesigning phase, we deal with both the analysis of the existing process model and what-if analysis on how to improve the process at the same time, Additionally, improving a business process can be applied in a case by case basis that needs a lot of trial and error and huge data. In selecting the baseline process model, we need to compare many probable routes of business execution and calculate the most efficient one in respect to production cost and execution time. We also discuss the challenges and limitation of the framework, including the systems adoptability, technical difficulties and human factors.
참고문헌 (36)
- M. Weske, "Business process management concepts, languages, architecture" (2007), Springer-Verlag Berlin Heidelberg
- M. Dumas, "Fundamentals of business process management" (2013), Springer-Verlag Berlin Heidelberg
- M. L. George, "Lean six SIGMA: combining six SIGMA with lean speed" (2002), McGraw-Hill
- W. M. P. van der Aalst, "Process mining - discovery, conformance and enhancement of business process" (2011), Springer-Verlag Berlin Heidelberg
- M. AbdEllatif, "Overcoming business process reengineering obstacles using ontology-based knowledge map methodology", Future Computing and Informatics Journal, 3(1), pp.7~28 (2018)
- M.-Y. Cheng, "KM-oriented business process reengineering for construction firms", Automation in Construction, 21, pp.32~45 (2012)
- Y. Borgianni, "Business process reengineering driven by customer value: a support for undertaking decisions under uncertainty conditions", Computers in Industry, 68, pp.132~147 (2015)
- J.-H. Chen, "Process reengineering and improvement for building precast production", Automation in Construction, 68, pp.249~258 (2016)
- F. D. Felice, "Optimization of automotive glass production through business process reengineering approach", Procedia – Social and Behavioral Sciences, 75, pp.272~281 (2013)
- A. Omidi, "Factors affecting the implementation of business process reengineering : taking into account the moderating role of organizational culture(case study : Iran Air)", Procedia Economics and Finance, 36, pp.425~432 (2016)
- A. Kumar, "RFID-enabled process reengineering of closed-loop supply chains in the healthcare industry of Singapore", Journal of Cleaner Production, 85, pp.382~394 (2014)
- D. Y. Wang, "Emergency management business process reengineering and integrated emergency response system structure design for a city in China", Procedia Engineering, 51, pp.371~376 (2013)
- W. M. P. van der Aalst, "Process mining - data science in action" (2016), Springer-Verlag Berlin Heidelberg
- B. Depaire, "A process deviation analysis framework", Lecture Notes in Business Information Processing, 132, pp.701~706 (2013)
- A. Banerjee, "Extension to alpha algorithm for process mining", International Journal of Engineering and Computer Science, 4(9), pp.14383~14386 (2015)
- Process mining:extending the alpha-algorithm to mine short loops, "A. K. A. de Medeiros", TU Eindhoven, ~, pp.BETA Working Paper Series 113 (2004)
- W. M. P. van der Aalst, "Workflow mining: discovering process models from event logs", IEEE Transaction on Knowledge and Data Engineering, 16(9), pp.1128~1142 (2004)
- A. Burattin, "Heuristics miner for time interval", Proceeding of European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN) 2010, pp.41~46 (2010)
- Process Mining with the HeuristicsMiner Algorithm, "A. J. M. M. Weijters", TU Eindhoven, ~, pp.BETA Working Paper Series 166 (2006)
- C. W. Gunther, "Fuzzy mining - adaptive process simplification based on multi-perspective metrics", Lecture Notes in Computer Science, 4714, pp.328~343 (2007)
- S. J. J. Leemans, "Discovering block-structured process models from incomplete event logs", Proceedings of Application and Theory of Petri Nets and Concurrency: 35th International Conference, PETRI NETS 2014, pp.91~110 (2014)
- A. A. Kalenkova, "Process mining using BPMN: relating event logs and process models", Software and Systems Modeling, 16(4), pp.1019~1048 (2017)
- R. Conforti, "BPMN miner: automated discovery of BPMN process models with hierarchical structure", Information Systems, 56, pp.284~303 (2016)
- S. J. J. Leemans, "Discovering block-structured process models from event logs - a constructive approach", Lecture Notes in Computer Science, 7927, pp.311~329 (2013)
- M. Song, "Trace clustering in process mining", Lecture Notes in Business Information Processing, 17, pp.209~120 (2008)
- C-H. Tsai, "Time-interval process model discovery and validation - a genetic process mining approach", Applied Intelligence, 33, pp.54~66 (2010)
- W. M. P. van der Aalst, "Genetic process mining", Lecture Notes in Computer Science, 3536, pp.48~69 (2005)
- J. M. E. M. van der Werf, "Process discovery using integer linear programming", Lecture Notes in Computer Science, 5062, pp.368~387 (2008)
- A. Adriansyah, "Towards robust conformance checking", Proceedings of International Conference on Business Process Management BPM 2010, pp.122~133 (2010)
- A. Adriansyah, "Conformance checking using cost-based fitness analysis", Proceedings of Enterprises Distributed Object Computing Conferene (EDOC), 201115th IEEE International, pp.55~64 (2011)
- W. M. P. van der Aalst, "Replaying history on process models for conformance checking and performance analysis", Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2(2), pp.182~192 (2012)
- "Process mining research tools application" (2009)[URL]
- "Celonis"[URL]
- "Disco"[URL]
- "Bizagi"[URL]
- "Nintex"[URL]