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Generating optimized configurable business process models in scenarios subject to uncertainty

Opened Access Generating optimized configurable business process models in scenarios subject to uncertainty

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Autor: Jiménez Ramírez, Andrés
Weber, Barbara
Barba Rodríguez, Irene
Valle Sevillano, Carmelo del
Departamento: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Fecha: 2015
Publicado en: Information and Software Technology, 57 (january 2015), 571-594.
Tipo de documento: Artículo
Resumen: Context: The quality of business process models (i.e., software artifacts that capture the relations between the organizational units of a business) is essential for enhancing the management of business processes. However, such modeling is typically carried out manually. This is already challenging and time consuming when (1) input uncertainty exists, (2) activities are related, and (3) resource allocation has to be considered. When including optimization requirements regarding flexibility and robustness it becomes even more complicated potentially resulting into non-optimized models, errors, and lack of flexibility. Objective: To facilitate the human work and to improve the resulting models in scenarios subject to uncertainty, we propose a software-supported approach for automatically creating configurable business process models from declarative specifications considering all the aforementioned requirements. Method: First, the scenario is modeled through a declarative lang...
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Cita: Jiménez Ramírez, A., Weber, B., Barba Rodríguez, I. y Valle Sevillano, C.d. (2015). Generating optimized configurable business process models in scenarios subject to uncertainty. Information and Software Technology, 57 (january 2015), 571-594.
Tamaño: 2.506Mb
Formato: PDF

URI: http://hdl.handle.net/11441/64286

DOI: 10.1016/j.infsof.2014.06.006

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