Ponencia
Automated Resource Allocation in Business Processes with Answer Set Programming
Autor/es | Havur, Giray
Cabanillas Macías, Cristina Mendling, Jan Polleres, Axel |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2016 |
Fecha de depósito | 2020-11-16 |
Publicado en |
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ISBN/ISSN | 978-3-319-42886-4 1865-1348 |
Resumen | Human resources are of central importance for executing and
supervising business processes. An optimal resource allocation can dramatically
improve undesirable consequences of resource shortages. However,
existing ... Human resources are of central importance for executing and supervising business processes. An optimal resource allocation can dramatically improve undesirable consequences of resource shortages. However, existing approaches for resource allocation have some limitations, e.g., they do not consider concurrent process instances or loops in business processes, which may greatly alter resource requirements. This paper introduces a novel approach for automatically allocating resources to process activities in a time optimal way that is designed to tackle the aforementioned shortcomings. We achieve this by representing the resource allocation problem in Answer Set Programming (ASP), which allows us to model the problem in an extensible, modular, and thus maintainable way, and which is supported by various efficient solvers. |
Agencias financiadoras | Austrian Research Promotion Agency (FFG) |
Identificador del proyecto | 845638 (SHAPE) |
Cita | Havur, G., Cabanillas Macías, C., Mendling, J. y Polleres, A. (2016). Automated Resource Allocation in Business Processes with Answer Set Programming. En BPM 2015: 13th International Workshops on Business Process Management (191-203), Innsbruck, Austria: Springer. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Automated resource allocation.pdf | 634.2Kb | [PDF] | Ver/ | |