Process Mining in Manufacturing: A Literature Review

Yüksel Yurtay

doi:10.35377/saucis...1134293

EN

Process Mining in Manufacturing: A Literature Review

Abstract

Process mining in manufacturing is a newly expanding field of research in the application of data mining and machine learning techniques and the focus of business processes. Although it is an exciting subject of the recent past and business processes, sufficient research has not been done. Decision support systems such as enterprise resource planning, customer relationship management, and management information systems store the most valuable resource data of process details and event logs. In the advanced information systems of tomorrow, the process management, analysis, and modelling functions of modern enterprises will take their place as a necessity. As a requirement, the fundamental purpose of process mining in production is to refine data from event logs, automatically create process models, compare models with event logs, and improve and make development continuous. Our work is to contribute to application and research studies by drawing attention to process mining in the context of production. It is based on the literature review and primary stages of business process mining publications in the last decade with a production focus. An overview is discussed as a roadmap for future research with meaningful results.

Keywords

References

[1] W. M. P. van der Aalst, M. La Rosa, and F. M. Santoro, “Business Process Management: Don’t Forget to Improve the Process,” Bus Inf Syst Eng, c. 58, sy 1, ss. 1-6, Feb. 2016, doi: 10.1007/s12599-015-0409-x.
[2] S. Smirnov, H. A. Reijers, M. Weske, and T. Nugteren, “Business process model abstraction: a definition, catalog, and survey,” Distrib Parallel Databases, vol. 30, no 1, pp. 63-99, Feb. 2012, doi: 10.1007/s10619-011-7088-5.
[3] S. Suman ve I. Pogarcic, “Development of ERP and Other Large Business Systems in the Context of New Trends and Technologies,” DAAAM Proceedings, 1. bs, vol. 1, pp. 0319-0327, B. Katalinic, Ed. DAAAM International Vienna, 2016, doi: 10.2507/27th.daaam.proceedings.047.
[4] W. M. P. van der Aalst and A. J. M. M. Weijters, “Process mining: a research agenda,” Computers in Industry, vol. 53, no 3, pp. 231-244, 2004, doi: 10.1016/j.compind.2003.10.001.
[5] F. Daniel, K. Barkaoui, and S. Dustdar, Ed., "Business process management workshops: BPM 2011 International Workshops," Clermont-Ferrand, France, vol 99, pp. 169-194, August 29, 2011, Revised selected papers. Part I. Berlin; New York: Springer, 2012.
[6] F. W. Breyfogle, "Implementing six sigma: smarter solutions using statistical methods," 2nd ed., ISBN: 978-0471265726, Hoboken, NJ: Wiley, 2003.
[7] W. M. P. van der Aalst, “Business Process Management: A Comprehensive Survey,” ISRN Software Engineering, vol. 2013, pp. 1-37, 2013, doi: 10.1155/2013/507984.
[8] W. M. P. van der Aalst, B. F. van Dongen, J. Herbst, L. Maruster, G. Schimm, and A. J. M. M. Weijters, “Workflow mining: A survey of issues and approaches,” Data & Knowledge Engineering, vol. 47, no 2, pp. 237-267, Kas. 2003, doi: 10.1016/S0169-023X(03)00066-1.

[9] M. Özcan ve S. Peker, “Designing a Data Warehouse for Earthquake Risk Assessment of Buildings: A Case Study for Healthcare Facilities,” Sakarya University Journal of Computer and Information Sciences, vol. 4, no 1, pp. 156-165, 2021, doi: 10.35377/saucis.04.01.872729.
[10] A. Rozinat and W. M. P. van der Aalst, “Conformance checking of processes based on monitoring real behavior,” Information Systems, vol. 33, no 1, pp. 64-95, 2008, doi: 10.1016/j.is.2007.07.001.
[11] B. Kaya, “Analysis of the Association Between Vitamin D Deficiency and Other Diagnoses of Patients by Data Mining Techniques,” Sakarya University Journal of Computer and Information Sciences, pp. 50-58, 2020, doi: 10.35377/saucis.03.01.677676.
[12] Leemans and W. M. P. van der Aalst, “Process mining in software systems: Discovering real-life business transactions and process models from distributed systems,” 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS), Ottawa, ON, Canada, 2015, pp. 44-53. doi: 10.1109/MODELS.2015.7338234.
[13] P. Zellner, M. Laumann, and W. Appelfeller, “Towards Managing Business Process Variants within Organizations - An Action Research Study,” 2015 48th Hawaii International Conference on System Sciences, HI, USA, pp. 4130-4139, 2015. doi: 10.1109/HICSS.2015.495.
[14] D. Dakic, S. Sladojevic, T. Lolic, and D. Stefanovic, “Process Mining Possibilities and Challenges: A Case Study,” 2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY), Subotica, Serbia, Eyl. pp. 000161-000166, 2019. doi: 10.1109/SISY47553.2019.9111591.
[15] A. Rozinat, I. S. M. de Jong, C. W. Gunther, and W. M. P. van der Aalst, “Process Mining Applied to the Test Process of Wafer Scanners in ASML,” IEEE Trans. Syst., Man, Cybern. C, vol. 39, no 4, pp. 474-479, 2009, doi: 10.1109/TSMCC.2009.2014169.
[16] V. Mittal and I. Kashyap, “Online Methods of Learning in Occurrence of Concept Drift,” IJCA, vol. 117, no 13, pp. 18-22, 2015, doi: 10.5120/20614-3280.
[17] R. P. J. C. BOSE, W. M. P. Van DerAlst, I. Z. Liobaite, and P. Echenizkiy, "Dealing with concept drift in process mining," IEEE Trans. on Neur. Net. and Lear. Syst., 2013.
[18] A. P. Kurniati and I. Atastina, "Implementing process mining to improve COBIT 5 assessment program or managing operations," Journal of Theoretical and Applied Information Technology, vol. 72, no. 2, pp. 191–198, 2015.
[19] C. Huang, H. Cai, Y. Li, J. Du, F. Bu, and L. Jiang, “A Process Mining Based Service Composition Approach for Mobile Information Systems,” Mobile Information Systems, vol. 2017, pp. 1-13, 2017, doi: 10.1155/2017/3254908.
[20] R. S. Mans, W. M. P. van der Aalst, and R. J. B. Vanwersch, "Process Mining in Healthcare: Evaluating and Exploiting Operational Healthcare Processes," Cham: Springer International Publishing, pp. 1-91. 2015. doi: 10.1007/978-3-319-16071-9.
[21] M. Er, N. Arsad, H. M. Astuti, R. P. Kusumawardani, and R. A. Utami, “Analysis of production planning in a global manufacturing company with process mining,” JEIM, vol. 31, no 2, pp. 317-337, 2018, doi: 10.1108/JEIM-01-2017-0003.
[22] B. T. Greyling and W. Jooste, “The application of business process mining to improving a physical asset management process: A case study”, SAJIE, vol. 28, no 2, 2017, doi: 10.7166/28-2-1691.
[23] R. Pérez-Castillo, B. Weber, I. G.-R. de Guzmán, and M. Piattini, “Process mining through dynamic analysis for modernising legacy systems,” IET Softw., vol. 5, no 3, pp. 304, 2011, doi: 10.1049/iet-sen.2010.0103.
[24] J. Samalikova, R. J. Kusters, J. J. M. Trienekens, and A. J. M. M. Weijters, “Process mining support for Capability Maturity Model Integration-based software process assessment, in principle and in practice: PROCESS MINING SUPPORT FOR CMMI-BASED SOFTWARE PROCESS ASSESSMENT,” J. Softw. Evol. and Proc., vol. 26, no 7, pp. 714-728, 2014, doi: 10.1002/smr.1645.
[25] F. Daniel, K. Barkaoui, and S. Dustdar, "Business process management workshops," BPM 2011 International Workshops, Clermont-Ferrand, Revised selected papers. Part I. Berlin; New York: Springer, pp. 169-194, France, August 29, 20112012.
[26] G. Sedrakyan, J. De Weerdt, and M. Snoeck, “Process-mining enabled feedback: ‘Tell me what I did wrong’ vs. ‘tell me how to do it right," Computers in Human Behavior, vol. 57, pp. 352-376, 2016, doi: 10.1016/j.chb.2015.12.040.
[27] M. Sahlabadi, R. C. Muniyandi and Z. Sukur. "Detecting abnormal behavior in social network websites by using a process mining technique," Journal of Computer Science, vol.10, no 3, pp.393–402, ISSN: 1549-36362014, doi: 10.3844/jcssp.2014.393.402.
[28] W. M. P. van der Aalst, "Process Mining: Discovery, Conformance and Enhancement of Business Processes," Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. doi: 10.1007/978-3-642-19345-3.
[29] Măruşter and N. R. T. P. van Beest, “Redesigning business processes: a methodology based on simulation and process mining techniques,” Knowl Inf Syst, vol. 21, no 3, pp. 267-297, 2009, doi: 10.1007/s10115-009-0224-0.
[30] J. De Weerdt, A. Schupp, A. Vanderloock, and B. Baesens, “Process Mining for the multi-faceted analysis of business processes—A case study in a financial services organization,” Computers in Industry, vol. 64, no 1, pp. 57-67, 2013, doi: 10.1016/j.compind.2012.09.010.
[31] W. Van der Aalst, "Process Mining Manifesto," Conference: Proc. of Business Process Management Workshops, Berlin, Heidelberg, 2012.
[32] E. Kim, S. Kim, M. Song, S. Kim, D. Yoo, H. Hwang, and S. Yoo, “Discovery of Outpatient Care Process of a Tertiary University Hospital Using Process Mining,” Healthc Inform Res, vol. 19, no 1, pp. 42, 2013, doi: 10.4258/hir.2013.19.1.42.
[33] ProcessMining, "ProcessMining homepage", 2022. [Online]. Available: http://www.processmining.org/process-discovery.html. [Accessed: 04-June-2022].
[34] W. M. Van der Aalst, M. La Rosa, and F. M. Santoro, "Business process management," Business & Information SystemsEngineering, vol. 58, pp. 1-6, 2016.
[35] D. Duplakova, M. Teliskova, J. Duplák, J. Torok, M. Hatala, J. Steranka, and S. Radchenko, “Determination of Optimal Production Process Using Scheduling and Simulation Software,” Int. j. simul. model., vol.17, no 4, pp. 609-622, 2018, doi: 10.2507/IJSIMM17(4)447.
[36] M. Bozkaya, J. Gabriels, and J. M. van der Werf, “Process Diagnostics: A Method Based on Process Mining” 2009 International Conference on Information, Process, and Knowledge Management, Cancun, Şub. 2009, pp. 22-27. doi: 10.1109/eKNOW.2009.29.
[37] W.M. Van Der Aalst, "Process Mining: Data science in action," 2nded., Springer, Berlin, Heidelberg, pp.3-23, 2016.
[38] B. Vázquez-Barreiros, D. Chapela, M. Mucientes, M. Lama and D. Berea, "Process mining in IT service management: A case study," In CEUR Workshop Proceedings, vol. 1592, pp. 16–30, 2016.
[39] W. M. P. van der Aalst, S. Guo, and P. Gorissen, “Comparative Process Mining in Education: An Approach Based on Process Cubes,” Data-Driven Process Discovery and Analysis, P. Ceravolo, R. Accorsi, and P. Cudre-Mauroux, Ed. Berlin, Heidelberg: Springer Berlin Heidelberg, vol. 203, pp. 110-134, 2015. doi: 10.1007/978-3-662-46436-6_6.
[40] D. Antonelli and G. Bruno, “Application of Process Mining and Semantic Structuring Towards a Lean Healthcare Network,” Risks and Resilience of Collaborative Networks, L. M. Camarinha-Matos, F. Bénaben, ve W. Picard, Ed. Cham: Springer International Publishing, vol. 463, pp. 497-508, 2015, doi: 10.1007/978-3-319-24141-8_46.
[41] V. Aisa, A. P. Kurniati, and A. W. Yanuar Firdaus, “Evaluation of the online assessment test using process mining (Case Study: Intensive English Center),” 2015 3rd International Conference on Information and Communication Technology (ICoICT), Nusa Dua, Bali, Indonesia, 2015, pp. 472-477. doi: 10.1109/ICoICT.2015.7231470.

Details

Primary Language

English

Subjects

Software Engineering (Other)

Journal Section

Review

Authors

Yüksel Yurtay ^*
0000-0003-1814-3432
Türkiye

Publication Date

December 31, 2022

Submission Date

June 22, 2022

Acceptance Date

November 17, 2022

Published in Issue

Year 1970 Volume: 5 Number: 3

DOI

https://doi.org/10.35377/saucis...1134293

IZ

https://izlik.org/JA94ZK63PK

Cite

RIS / Bibtex

APA

Yurtay, Y. (2022). Process Mining in Manufacturing: A Literature Review. Sakarya University Journal of Computer and Information Sciences, 5(3), 341-355. https://doi.org/10.35377/saucis...1134293

AMA

1.Yurtay Y. Process Mining in Manufacturing: A Literature Review. SAUCIS. 2022;5(3):341-355. doi:10.35377/saucis.1134293

Chicago

Yurtay, Yüksel. 2022. “Process Mining in Manufacturing: A Literature Review”. Sakarya University Journal of Computer and Information Sciences 5 (3): 341-55. https://doi.org/10.35377/saucis. 1134293.

EndNote

Yurtay Y (December 1, 2022) Process Mining in Manufacturing: A Literature Review. Sakarya University Journal of Computer and Information Sciences 5 3 341–355.

IEEE

[1]Y. Yurtay, “Process Mining in Manufacturing: A Literature Review”, SAUCIS, vol. 5, no. 3, pp. 341–355, Dec. 2022, doi: 10.35377/saucis...1134293.

ISNAD

Yurtay, Yüksel. “Process Mining in Manufacturing: A Literature Review”. Sakarya University Journal of Computer and Information Sciences 5/3 (December 1, 2022): 341-355. https://doi.org/10.35377/saucis. 1134293.

JAMA

1.Yurtay Y. Process Mining in Manufacturing: A Literature Review. SAUCIS. 2022;5:341–355.

MLA

Yurtay, Yüksel. “Process Mining in Manufacturing: A Literature Review”. Sakarya University Journal of Computer and Information Sciences, vol. 5, no. 3, Dec. 2022, pp. 341-55, doi:10.35377/saucis. 1134293.

Vancouver

1.Yüksel Yurtay. Process Mining in Manufacturing: A Literature Review. SAUCIS. 2022 Dec. 1;5(3):341-55. doi:10.35377/saucis. 1134293

Öz

Process Mining in Manufacturing: A Literature Review

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite