Patterns to enable mass-customized business process monitoring

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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. © 2012 Springer-Verlag Berlin Heidelberg.

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Comuzzi, M., Angelov, S., & Vonk, J. (2012). Patterns to enable mass-customized business process monitoring. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7328 LNCS, pp. 445–459). https://doi.org/10.1007/978-3-642-31095-9_29

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