Business process performance mining with staged process flows

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9694, Issue , 2016, Pages 167-185

  Nguyen, Hoang ^a   Dumas, Marlon ^b   Ter Hofstede, Arthur H M ^a   La Rosa, Marcello ^a   Maggi, Fabrizio Maria ^b  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b UNIVERSITY OF TARTU   (Estonia)

Author keywords

Cumulative flow; Multistage processes; Performance analysis; Process mining; Queuing theory

Indexed keywords

INFORMATION SYSTEMS; QUEUEING THEORY;

CUMULATIVE FLOW; MULTISTAGE PROCESS; PERFORMANCE ANALYSIS; PROCESS MINING; QUEUING THEORY;

SYSTEMS ENGINEERING;

EID: 84976624310     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-39696-5_11     Document Type: Conference Paper

References (18)

1. van der Aalst, W.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Heidelberg (2011)
2. Dumas, M., La Rosa, M., Mendling, J., Reijers, H.: Fundamentals of Business Process Management. Springer, Heidelberg (2013)
3. Modig, N., Ahlström, P.: This is lean: resolving the efficiency paradox. Rheologica (2012)
4. Hornix, P.T.: Performance analysis of business processes through process mining. Master’s thesis, Eindhoven University of Technology (2007)
5. Gunther, C.W., Rozinat, A.: Disco: Discover your processes. In: Proceedings of BPM Demos. CEUR Workshop Proceedings, vol. 940, pp. 40-44 (2012)
6. van der Aalst, W., Adriansyah, A., van Dongen, B.: Replaying history on process models for conformance checking and performance analysis. Wiley Interdisc. Rev. Data Mining Knowl. Disc. 2(2), 182-192 (2012)
7. van Dongen, B.F., Adriansyah, A.: Process mining: fuzzy clustering and performance visualization. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds.) BPM 2009. LNBIP, vol. 43, pp. 158-169. Springer, Heidelberg (2010)
8. de Leoni, M., van der Aalst, W.M.P., Dees, M.: A general framework for correlating business process characteristics. In: Sadiq, S., Soffer, P., Völzer, H. (eds.) BPM 2014. LNCS, vol. 8659, pp. 250-266. Springer, Heidelberg (2014)
9. Pika, A., Wynn, M.T., Fidge, C.J., ter Hofstede, A.H.M., Leyer, M., van der Aalst, W.M.P.: An extensible framework for analysing resource behaviour using event logs. In: Jarke, M., Mylopoulos, J., Quix, C., Rolland, C., Manolopoulos, Y., Mouratidis, H., Horkoff, J. (eds.) CAiSE 2014. LNCS, vol. 8484, pp. 564-579. Springer, Heidelberg (2014)
10. Günther, C.W., van der Aalst, W.M.P.: Fuzzy mining - adaptive process simplification based on multi-perspective metrics. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 328-343. Springer, Heidelberg (2007)
11. Conforti, R., Dumas, M., La Rosa, M., Maaradji, A., Nguyen, H., Ostovar, A., Raboczi, S.: Analysis of business process variants in apromore. In: Proceedings of the BPM Demos. CEUR, vol. 1418 (2015)
12. Senderovich, A., Weidlich, M., Gal, A., Mandelbaum, A.: Queue mining - predicting delays in service processes. In: Jarke, M., Mylopoulos, J., Quix, C., Rolland, C., Manolopoulos, Y., Mouratidis, H., Horkoff, J. (eds.) CAiSE 2014. LNCS, vol. 8484, pp. 42-57. Springer, Heidelberg (2014)
13. de Smet, L.: Queue mining: combining process mining and queueing analysis to understand bottlenecks, to predict delays, and to suggest process improvements. Master’s thesis, Eindhoven University of Technology (2014)
14. Reinertsen, D.: Managing the Design Factory: A Product Developers Tool Kit. Simon & Schuster Ltd, New York (1998)
15. Nguyen, H., Dumas, M., ter Hofstede, A., La Rosa, M., Maggi, F.: Business process performance mining with staged process flows. QUT ePrints Technical report 91110, Queensland University of Technology (2015). http://eprints.qut.edu.au/91110
16. Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39(2), 273-315 (2008)
17. Conforti, R., Dumas, M., García-Bañuelos, L., La Rosa, M.: BPMN miner: automated discovery of BPMN process models with hierarchical structure. Inf. Syst. 56, 284-303 (2016)
18. Reynolds, M., Amin, R., Arnold, J.: CUSUM charts with variable sampling intervals. Technometrics 32(4), 371-384 (1990)