Quotation Havur, Giray, Cabanillas Macias, Cristina, Polleres, Axel, Mendling, Jan. 2015. Automated Resource Allocation in Business Processes with Answer Set Programming. In Business Process Management Workshops 2015, Hrsg. Manfred Reichert and Hajo Reijers, S. 0-0. Innsbruck, Austria: None.




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.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Automated Resource Allocation in Business Processes with Answer Set Programming
Title of whole publication Business Process Management Workshops 2015
Editor Manfred Reichert and Hajo Reijers
Page from 0
Page to 0
Location Innsbruck, Austria
Year 2015
URL http://polleres.net/publications/havur-etal-2015BPI.pdf


Safety-critical Human- and dAta-centric Process management in Engineering projects (SHAPE)
Havur, Giray (Former researcher)
Cabanillas Macias, Cristina (Former researcher)
Polleres, Axel (Details)
Mendling, Jan (Details)
Institute for Data, Process and Knowledge Management IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1111 Logic (Details)
1122 Artificial intelligence (Details)
5352 Human resource management, personnel management (Details)
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