Abstract
The structure and dynamics of a modern business environment are very hard to model using traditional methods. Such complexity raises challenges to effective business analysis and improvement. The importance of applying business process simulation to analyse and improve business activities has been widely recognised. However, one remaining challenge is the development of approaches to human resource behaviour simulation. To address this problem, we describe a novel simulation approach where intelligent agents are used to simulate human resources by performing allocated work from a workflow management system. The behaviour of the intelligent agents is driven a by state transition mechanism called a hierarchical task network (HTN). We demonstrate and validate our simulator via a medical treatment process case study. Analysis of the simulation results shows that the behaviour driven by the HTN is consistent with design of the workflow model. We believe these preliminary results support the development of more sophisticated agent-based human resource simulation systems.
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References
Aalst WMP, Nakatumba J, Rozinat A (2010) Business process simulation. In: Jv B, Rosemann M (eds) Handbook on business process management, vol 1. Springer, Berlin/Heidelberg, pp 313–338
Agrawal R, Gunopulos D, Leymann F (1998) Mining process models from work-flow logs. Presented at the sixth international conference on extending database technology
Bandara W, Indlska M, Sadiq S et al (2007) Major issue in business process management: an expert perspective. Presented at the 15th European conference on information systems
Biffl WL, Smith WR, Moore EE et al (2001) Evolution of a multidisciplinary clinical pathway for the management of unstable patients with pelvic fractures. Ann Surg 233:843–850
Brown R (2010) Conceptual modelling in 3D virtual worlds for process communication. Presented at the Asia-Pacific conferences on conceptual modelling
Brown R, Rasmussen R (2009) Virtual environment visualisation of executable business process models. In: Rao NR (ed) Virtual technologies for business and industrial applications: innovative and synergistic approaches. IGI Global, p 350 (15 April 2010)
Croce MA, Magnotti LJ, Savage SA (2007) Emergent pelvic fixation in patients with exsanguinating pelvic fractures. J Am Coll Surg 204:935–939
Decker K, Li J (1998) Coordinated hospital patient scheduling. In: Proceedings of the third international conference on multi-agent systems, pp 104–111
Erol K, Hendler J, Nau DS (1994) Semantics for hierarchical task-network planning. University of Maryland at College Park
Hollingsworth D (1995) Workflow management coalition the workflow reference model. WfMC, Winchester
Isern D, Sánchez D, Moreno A (2010) Agents applied in heal care: a review. Int J Medical Inform 79:145–166
Mantovani F, Castelnuovo G, Gaggioli A et al (2004) Virtual reality training for health-care professionals. CyberPsychol Behav 6:389–395
Nicodemo A, Decaroli D, Pallavicini J et al (2008) A treatment protocol for abdomino-pelvic injuries. J Orthop Traumatol 9:89–95
O’Brien PD, Wiegand ME (1998) Agent based process management: applying intelligent agents to workflow. Knowl Eng Rev 13:161–174
Peter D, Manfred R, Klaus K (2000) Clinical workflows- the killer application for process-oriented information system. Presented at the international conference on business information systems
Pollock JL (1999) Planning agents. In: Wooldridge M, Rao A (eds) Foundations of rational agency, 1st edn. Springer, Dordrecht (March 31, 1999)
Recker J, Indulska M, Green P (2007) Extending representational analysis: BPMN user and developer perspectives. In: Alonso G, Dadam P, Rosemann M (eds) Business Process Management – BPM 2007, vol 4714, Lecture Notes in Computer Science. Springer, Brisbane, pp 384–399
Robert GS (2007) Verification and validation of simulation models. Winter simulation conference
Rozinat A, Wynn MT, van der Aalst WMP (2009) Workflow simulation for operational decision support. Data Knowl Eng 68:834–850
Russell S, Norvig P (2003) Artificial intelligence: a modern approach. Pearson Education, Upper Saddle River
Russell N, van der Aalst WMP, Hofstede AHMt et al (2005) Workflow resource patterns: identification, representation and tool support. In: Proceedings of the 17th conference on advanced information systems engineering (CAiSE'05), pp 216–232
Sadiq S, Indulska M, Bandara W et al (2007) Major issues in business process management: a vendor perspective. Presented at the 11th Pacific-Asia conference on information systems: managing diversity in digital enterprises, Auckland
Smith R (2006) Technology disruption in the simulation industry. J Def Model Simul: Appl Methodol 3:3–10
van der Aalst WMP, Hofstede AHM (2005) YAWL: yet another workflow language. Inf Syst 30:245–275
van der Aalst WMP, van Hee KM (2002) Workflow management: models, methods, and systems. MIT Press, Cambridge, MA
van der Aalst WMP, Weijters AJMM, Maruster L (2004) Workflow mining: discovering process models from event logs. IEEE Trans Knowl Data Eng 16:1128–1142
van der Aalst WMP, Reijers HA, Weijters AJMM et al (2007) Business process mining: an industrial application. Inf Syst 32:713–732
van der Aalst WMP, Nakatumba J, Rozinat A et al (2008) Business process simulation: how to get it right? BPM Centre
Wooldridge MJ (ed) (2002) Multi-agent systems: an introduction. Wiley, Chichester
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This research has been supported by Smart Service CRC in Australia.
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Guo, H., Brown, R., Rasmussen, R. (2013). Human Resource Behaviour Simulation in Business Processes. In: Pooley, R., Coady, J., Schneider, C., Linger, H., Barry, C., Lang, M. (eds) Information Systems Development. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4951-5_14
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DOI: https://doi.org/10.1007/978-1-4614-4951-5_14
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