Patterns to enable mass-customized business process monitoring

M. Comuzzi; S.A. Angelov; J. Vonk

doi:10.1007/978-3-642-31095-9_29

Patterns to enable mass-customized business process monitoring

M. Comuzzi, S.A. Angelov, J. Vonk

Information Systems IE&IS

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

2 Citations (Scopus)

Abstract

Mass-customization challenges the one-size-fits-all assumption of mass production, allowing customers to specify the options that best fit their requirements when choosing a product or a service. In business process management, to achieve mass-customization, providers offer to their customers the opportunity to customize the way in which a process will be enacted. We focus on monitoring as a specific customization aspect. We propose a multi-dimensional classification of modeling patterns for customized monitoring infrastructures. Patterns enable the provider to offer a set of customizable options to customers and design a monitoring infrastructure that fits the preferences specified by customers on such options. An example in the online advertising industry demonstrates how our framework can improve the services currently offered by providers.

Original language	English
Title of host publication	Proceedings of the 24th International Conference on Advanced Information Systems Engineering (CAiSE 2012), June 25-29, 2012, Gdansk, Poland
Editors	J, Ralyté, X. Franch, S. Brinkkemper, S. Wrycza
Place of Publication	Berlin
Publisher	Springer
Pages	445-459
ISBN (Print)	978-3-642-31094-2
DOIs	https://doi.org/10.1007/978-3-642-31095-9_29
Publication status	Published - 2012
Event	24th International Conference on Advanced Information Systems Engineering (CAiSE 2012) - University of Gdańsk, Gdańsk, Poland Duration: 25 Jun 2012 → 29 Jun 2012 Conference number: 24 http://www.caise2012.univ.gda.pl/

Publication series

Name	Lecture Notes in Computer Science
Volume	7328

Conference

Conference	24th International Conference on Advanced Information Systems Engineering (CAiSE 2012)
Abbreviated title	CAiSE '12
Country/Territory	Poland
City	Gdańsk
Period	25/06/12 → 29/06/12
Internet address	http://www.caise2012.univ.gda.pl/

Access to Document

10.1007/978-3-642-31095-9_29

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Comuzzi, M., Angelov, S. A., & Vonk, J. (2012). Patterns to enable mass-customized business process monitoring. In J. Ralyté, X. Franch, S. Brinkkemper, & S. Wrycza (Eds.), Proceedings of the 24th International Conference on Advanced Information Systems Engineering (CAiSE 2012), June 25-29, 2012, Gdansk, Poland (pp. 445-459). (Lecture Notes in Computer Science; Vol. 7328). Springer. https://doi.org/10.1007/978-3-642-31095-9_29

Comuzzi, M. ; Angelov, S.A. ; Vonk, J. / Patterns to enable mass-customized business process monitoring. Proceedings of the 24th International Conference on Advanced Information Systems Engineering (CAiSE 2012), June 25-29, 2012, Gdansk, Poland. editor / J, Ralyté ; X. Franch ; S. Brinkkemper ; S. Wrycza. Berlin : Springer, 2012. pp. 445-459 (Lecture Notes in Computer Science).

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Comuzzi, M, Angelov, SA & Vonk, J 2012, Patterns to enable mass-customized business process monitoring. in J Ralyté, X Franch, S Brinkkemper & S Wrycza (eds), Proceedings of the 24th International Conference on Advanced Information Systems Engineering (CAiSE 2012), June 25-29, 2012, Gdansk, Poland. Lecture Notes in Computer Science, vol. 7328, Springer, Berlin, pp. 445-459, 24th International Conference on Advanced Information Systems Engineering (CAiSE 2012), Gdańsk, Poland, 25/06/12. https://doi.org/10.1007/978-3-642-31095-9_29

Patterns to enable mass-customized business process monitoring. / Comuzzi, M.; Angelov, S.A.; Vonk, J.
Proceedings of the 24th International Conference on Advanced Information Systems Engineering (CAiSE 2012), June 25-29, 2012, Gdansk, Poland. ed. / J, Ralyté; X. Franch; S. Brinkkemper; S. Wrycza. Berlin: Springer, 2012. p. 445-459 (Lecture Notes in Computer Science; Vol. 7328).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

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AB - Mass-customization challenges the one-size-fits-all assumption of mass production, allowing customers to specify the options that best fit their requirements when choosing a product or a service. In business process management, to achieve mass-customization, providers offer to their customers the opportunity to customize the way in which a process will be enacted. We focus on monitoring as a specific customization aspect. We propose a multi-dimensional classification of modeling patterns for customized monitoring infrastructures. Patterns enable the provider to offer a set of customizable options to customers and design a monitoring infrastructure that fits the preferences specified by customers on such options. An example in the online advertising industry demonstrates how our framework can improve the services currently offered by providers.

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Comuzzi M, Angelov SA, Vonk J. Patterns to enable mass-customized business process monitoring. In Ralyté J, Franch X, Brinkkemper S, Wrycza S, editors, Proceedings of the 24th International Conference on Advanced Information Systems Engineering (CAiSE 2012), June 25-29, 2012, Gdansk, Poland. Berlin: Springer. 2012. p. 445-459. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-31095-9_29

Patterns to enable mass-customized business process monitoring

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