Business Process Management: 13th International Conference, by Hamid Reza Motahari-Nezhad, Jan Recker, Matthias Weidlich

By Hamid Reza Motahari-Nezhad, Jan Recker, Matthias Weidlich

This booklet constitutes the complaints of the thirteenth foreign convention on company technique administration, BPM 2015, held in Innsbruck, Austria, in August/September 2015.
The 21 standard papers, 7 brief papers and a pair of inductrial papers incorporated during this quantity have been conscientiously reviewed and chosen from a hundred twenty five submissions. The papers are geared up in topical sections on runtime technique administration, strategy modeling, technique modeling discovery, company technique versions and analytics, BPM in undefined, method compliance and deviations, energing and functional parts of BPM, and technique monitoring.

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Extra info for Business Process Management: 13th International Conference, BPM 2015, Innsbruck, Austria, August 31 -- September 3, 2015, Proceedings

Example text

We make the following assumptions: 24 J. Manderscheid et al. 1) The processes included in the organization’s process portfolio can be analyzed independently. Sufficient performance data is available or can be estimated for the process in focus. , price changes, new competitors). 2) The expected values and variances of the cash flows associated with process tasks are finite and known (or can be estimated). , the expected value and variance of the instance cash flows can be calculated based on Bolsinger [5].

BPM 2005. LNCS, vol. 3812, pp. 444–453. Springer, Heidelberg (2006) 4. : Development of a decision-making strategy to improve the efficiency of BPR. Expert. Syst. Appl. 36, 3248–3262 (2009) 5. : Analysis of techniques for business process improvement. In: 19th European Conference on Information Systems, paper 20. Association for Information Systems (2011) 6. : A TRIZ-based method for new service design. J. Serv. Res. 8, 48–66 (2005) 7. : How suitable is the RePro technique for rethinking care processes?

In fact, process users sometimes run a process in a way not intended by the process owner [3]. As, for instance, more or fewer tasks are executed and new process paths emerge, this type of variation results in deviance-induced cash flows D . Deviance-induced cash flows take positive or negative values in case of positive or negative deviance, respectively. We consider deviant executions that largely comply with the process model. Deviance can, for example, be identified by analyzing event data from past executions using sequence mining [29].

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