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MarcoComuzzi

Comuzzi, Marco
Intelligent Enterprise Lab.
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Patterns to Enable Mass-Customized Business Process Monitoring

Author(s)
Comuzzi, MarcoAngelov, SamuilVonk, Jochem
Issued Date
2012-06-25
DOI
10.1007/978-3-642-31095-9_29
URI
https://scholarworks.unist.ac.kr/handle/201301/39798
Fulltext
https://link.springer.com/chapter/10.1007%2F978-3-642-31095-9_29
Citation
24th International Conference on Advanced Information Systems Engineering
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.
Publisher
caise

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