Abstract
Business process models are a suitable means to describe the temporal and logical order of tasks for achieving a given goal. Therefore they become crucial in the coordination of intervention actions to efficiently recover from a disaster or tragic event. Past experience is vital in handling these scenarios, but every new emergency would almost always present peculiar characteristics. So although generic business processes for disaster management would typically be available in a recovery infrastructure, these need to be adapted every time to the specific scenario. In these situations goal achievement is very time-critical, thus the adaptation process should be done in the most efficient way and be error-free. This paper proposes to capture multiple variants of an emergency recovery process in a configurable model, and to control the model adaptation via the use of interactive domain-based questionnaires.
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References
Rosemann, M., Aalst, W.: A Configurable Reference Modelling Language. Information Systems 32, 1–23 (2007)
La Rosa, M., Aalst, W., Dumas, M., ter Hofstede, A.: Questionnaire-based variability modeling for system configuration. Software and Systems Modeling (2008)
Bortenschlager, M., Truong, H.: Workpad deliverable d1.3: Requirements and conceptual analysis (version 1.0). EU STREP project FP6-2005-IST-5-034749 WORKPAD D.1.3 v1.0 (2005)
Weichselgartner, J.: Disaster mitigation: the concept of vulnerability revisited. Disaster Prevention and Management 10, 85–95 (2001)
de Leoni, M., Mecella, M., Rosa, F.D., Mecella, M., Poggi, A., Krek, A., Manti, F.: Emergency management: from user requirements to a flexible p2p architecture. In: Proc. of the 4th International Conference on Information Systems for Crisis Response and Management (ISCRAM), Delft, The Netherlands (2007)
Keller, G., Nüttgens, M., Scheer, A.W.: Semantische Prozessmodellierung auf der Grundlage Ereignisgesteuerter Prozessketten (EPK). Heft 89, Institut für Wirtschaftsinformatik, Saarbrücken, Germany (1992)
Mendling, J., Aalst, W.: Formalization and Verification of EPCs with OR-Joins Based on State and Context. In: Krogstie, J., Opdahl, A.L., Sindre, G. (eds.) CAiSE 2007 and WES 2007. LNCS, vol. 4495, pp. 439–453. Springer, Heidelberg (2007)
La Rosa, M., Gottschalk, F., Aalst, W., Dumas, M.: Linking Domain Models and Process Models for Reference Model Configuration. In: ter Hofstede, A.H.M., Benatallah, B., Paik, H.-Y. (eds.) BPM Workshops 2007. LNCS, vol. 4928, pp. 417–430. Springer, Heidelberg (2008)
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La Rosa, M., Mendling, J. (2009). Domain-Driven Process Adaptation in Emergency Scenarios. In: Ardagna, D., Mecella, M., Yang, J. (eds) Business Process Management Workshops. BPM 2008. Lecture Notes in Business Information Processing, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00328-8_28
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DOI: https://doi.org/10.1007/978-3-642-00328-8_28
Publisher Name: Springer, Berlin, Heidelberg
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