Zusammenfassung
Dienstleistungsprozesse sind durch Kundenintegration in der Leistungserstellung gekennzeichnet. Informationssysteme ermöglichen eine stärkere Einbindung von Kunden, aber die Auswirkungen auf die Prozessausführung sind oft unklar. Mit Simulationsmodellen der Prozesse kann dafür eine bessere Vorhersage getroffen werden. Es ist allerdings unklar, wie Kundenintegration dabei modelliert wird. Daher wird in diesem Beitrag eine Methodik entwickelt, die basierend auf Daten des Process Mining die Erstellung von Simulationsmodellen unter Berücksichtigung der Kundenintegration ermöglicht. Process Mining liefert die Grundlage der notwendigen Daten. Die Methodik beschreibt die Bildung eines Simulationsmodells für Dienstleistungsprozesse und formalisiert Kundenintegration für die Modellierung.
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Literaturverzeichnis
Adenso-Diaz B, Gonzalez-Torre P (2002) A capacity management model in service industries. International Journal of Service Industry Management 13:286–302
Banker RD, Natarajan R (2008) Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis. Operations Research 56:48–58
Banks J, Carson JS, Nelson BL, Nicol DM (2005) Discrete event system simulation. Prentice Hall, Upper Saddle River
Bose JCRP, van der Aalst WMP (2009) Context aware trace clustering. Towards improving process mining results, Proceedings of the Ninth SIAM International Conference on Data Mining. Sparks, SIAM, 401– 412
Bowen DE (1986) Managing Customers as Human Resources in Service Organizations. Human Resource Management 25:371–383
Brooks RJ, Wang W (2015) Conceptual modelling and the project process in real simulation projects. A survey of simulation modellers. Journal of the Operational Research Society 66:1669–1685
Bussmann S, Jennings NR, Woolridge M (2004) Multiagent Systems for Manufacturing Control. Springer, Berlin
Büttgen M (2007) Kundenintegration in den Dienstleistungsprozess. Eine verhaltenswissenschaftliche Untersuchung. Deutscher Universitäts-Verlag, Wiesbaden
Campbell CS, Maglio PP, Davis MM (2011) From self-service to super-service. A resource mapping framework for co-creating value by shifting the boundary between provider and customer. Information Systems and e-Business Management 9:173–191
Cassandras CG, Lafortune S (2007) Introduction to Discrete Event Systems. Springer, Heidelberg
Chase RB, Apte UM (2007) A history of research in service operations. What‘s the big idea? Journal of Operations Management 25:375–386
Chevalier P, Van Den Schrieck J-C (2008) Optimizing the staffing and routing of small-size hierarchical call-centers. Production and Operations Management 17:306–319
Corrêa HL, Ellram LM, Scavarda AJ, Cooper MC (2007) An operations management view of the services and goods offering mix. International Journal of Operations & Production Management 27:444–463
Davenport TH, Short JE (1990) The New Industrial Engineering. Information Technology and Business Process Redesign. Sloan Management Review 31:11–27
Davies MN (1994) Bank-office process management in the financial services. A simulation approach using a model generator. The Journal of the Operational Research Society 45:1363–1373
Dey AK (2001) Understanding and using context. Personal and Ubiquitous Computing 5:4–7
Dufour J-M, Farhat A, Gardiol L, Khalaf L (1998) Simulation-based Finite Sample Normality Tests in Linear Regressions. Econometrics Journal 1:154 –173
Dumas M, van der Aalst WMP, Ter Hofstede AH (2005) Process-Aware Information Systems. Bridging People and Software Through Process Technology. Wiley, Hoboken
Fließ S, Kleinaltenkamp M (2004) Blueprinting the service company. Managing service processes efficiently. Journal of Business Research 57:392– 404
Greasley A (2003) Using business-process simulation within a business-process reengineering approach. Business Process Management Journal 9:408– 420
Hoad K, Monks T, O‘brien F (2015) The use of search experimentation in discrete-event simulation practice. Journal of the Operational Research Society 66:1155–1168
Hoad K, Robinson S, Davies R (2010) Automating warm-up length estimation. Journal of the Operational Research Society 61:1389–1403
Jahangirian M, Eldabi T, Naseer A, Stergioulas LK, Young T (2010) Simulation in manufacturing and business. A review. European Journal of Operational Research 203:1–13
Johnston R (2005) Service operations management. From the roots up. International Journal of Operations & Production Management 25:1298–1308
Kleijnen JPC (1995) Verification and validation of simulation models. European Journal of Operational Research 82:145–162
Leyer M (2011) Towards a context-aware analysis of business process performance, Proceedings of the 15th Pacific Asia Conference of Information Systems (PACIS 2011), Brisbane, Paper 200
Leyer M, Moormann J (2015) Comparing concepts for shop floor control of information-processing services in a job shop setting. A case from the financial services sector. International Journal of Production Research 53:1168–1179
Liu Y, Zhang H, Li C, Jiao RJ (2011) Workflow simulation for operational decision support using event graph through process mining. Decision Support Systems, im Erscheinen
Liu Y, Zhang H, Li C, Jiao RJ (2012) Workflow simulation for operational decision support using event graph through process mining. Decision Support Systems 52:685–697
Maibaum G (1976) Wahrscheinlichkeitstheorie und mathematische Statistik. VEB, Berlin
Maruster L, Van Beest NRTP (2009) Redesigning business processes. A methodology based on simulation and process mining techniques. Knowledge and Information Systems 21:267–297
Ostrom AL, Parasuraman A, Bowen DE, Patrício L, Voss CA (2015) Service Research Priorities in a rapidly changing context. Journal of Service Research 18:127–159
Pearson SE, Hartley HO (1972) Biometrika Tables for Statisticians. University Press, New York
Pidd M (2004) Computer Simulation in Management Science. Wiley, Chichester
Robinson S (2007) A statistical process control approach to selecting a warm-up period for a discrete-event simulation. European Journal of Operational Research 176:332–346
Robinson S, Brooks RJ (2010) Independent Verification and Validation of an Industrial Simulation Model. Simulation 86:405– 415
Roussas GG (1973) A first course in mathematical statistics. Addison Wesley, Reading
Rozinat A, Mans RS, Song M, van der Aalst WMP (2009a) Discovering simulation models. Information Systems 34:305–327
Rozinat A, van der Aalst WMP (2005) Conformance testing. Measuring the Fit and Appropriateness of Event Logs and Process Models. In: Bussler C, Haller A (Hrsg) Proceedings of Business Process Management Workshops. Springer, Heidelberg, 163–176
Rozinat A, van der Aalst WMP (2006) Decision Mining in Business Processes, Eindhoven University of Technology, Eindhoven, BPM–06–10
Rozinat A, Veloso M, van der Aalst WMP (2008) Evaluating the Quality of Discovered Process Models. Information Systems Journal 16:1–8
Rozinat A, Wynn MT, van der Aalst WMP, Ter Hofstede AHM, Fidge CJ (2009b) Workflow Simulation for Operational Decision Support. Data & Knowledge Engineering 68:834 –850
Sampson SE, Froehle CM (2006) Foundations and implications of a proposed unified services theory. Production and Operations Management 15:329–343
Sargent RG (2013) Verification and validation of simulation models. Journal of Simulation 7:12–24
van der Aalst WMP, Günther CW (2007) Finding Structure in Unstructured Processes. The Case for Process Mining, 7th International Conference on Applications of Concurrency to System Design, 3–12
van der Aalst WMP, Nakatumba J, Rozinat A, Russel N (2008) Business Process Simulation. How to get it right? Eindhoven University of Technology, Eindhoven, BPM –08–07
van der Aalst WMP, Van Den Brand PCW, van Dongen BF, Günther CW, Mans RS, De Medeiros AKA, Rozinat A, Song M, Verbeek HMW, Weijters HJMM (2007) Business Process Analysis with ProM, Seventeenth Annual Workshop on Information Technologies and Systems, Montréal, 223–224
van der Aalst WMP, van Dongen BF, Herbst J, Maruster L, Schimm. G, Weijters AJMM (2003) Workflow Mining. A Survey of Issues and Approaches. Data and Knowledge Engineering 47:237–267
van der Aalst WMP, Weijters AJMM (2004) Process Mining. A Research Agenda. Computers in Industry 53:231–244
van Dongen BF (2005) The ProM framework. A new Era in process mining tool support. 26th International Conference on Applications and Theory of Petri Nets, Springer, Berlin, 444–454
Weijters AJMM, van der Aalst WMP, De Medeiros AKA (2006) Process Mining with the Heuristics Miner Algorithm, Eindhoven University of Technology 166, Eindhoven
Yazici B, Yolacan S (2007) A comparison of various tests of normality. Journal of Statistical Computation and Simulation 77:175–183
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Leyer, M. (2017). Modellierung der Kundenintegration zur Simulation von Dienstleistungsprozessen mit Process Mining. In: Thomas, O., Nüttgens, M., Fellmann, M. (eds) Smart Service Engineering. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-16262-7_6
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