Run-Time Planning of Case-based Business Processes
dc.accessRights | Anonymous | |
dc.audience | Science | |
dc.contributor.author | Hinkelmann, Knut | |
dc.contributor.author | Sprovieri, Danillo | |
dc.contributor.author | Diaz, Daniel | |
dc.contributor.author | Mazo, Raul | |
dc.contributor.editor | España, Sergio | |
dc.contributor.editor | Ralyté, Jolita | |
dc.contributor.editor | Souveyet, Carine | |
dc.date.accessioned | 2017-04-04T09:05:43Z | |
dc.date.available | 2017-04-04T09:05:43Z | |
dc.date.issued | 2016 | |
dc.description.abstract | Organizations act in highly competitive markets, which forces them to be flexible. Constantly changing business requirements require flexible business processes. Case Management Model and Notation (CMMN) supports modeling run-time flexibility of partially structured business process models, but does not fully specify the control flow. Objective: The goal is to develop a planning algorithm that supports the case worker in planning case-based business processes at run-time. Method: We identify the requirements of run-time planning of partly structured processes by analyzing the admission process for the master degree at FHNW. To plan the process instance, we develop a planning algorithm. Our planning algorithm is evaluated using concrete cases provided by FHNW in order to demonstrate real application. Results: The planning algorithm reflects the requirements for serializing tasks at run-time. Conclusion: Our planning algorithm allows to automatically deriving context-specific execution plans for CMMN models at run-time. | |
dc.event | 2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS) | |
dc.event.end | 2016-06-03 | |
dc.event.start | 2016-06-01 | |
dc.identifier.doi | 10.1109/RCIS.2016.7549274 | |
dc.identifier.uri | http://hdl.handle.net/11654/24696 | |
dc.identifier.uri | https://doi.org/10.26041/fhnw-1019 | |
dc.language.iso | en | en_US |
dc.publisher | IEEE | |
dc.relation.ispartof | IEEE 10th International Conference on Research Challenges in Information Science | |
dc.spatial | Grenoble | |
dc.subject | Artificial Intelligence | |
dc.subject | Business Process | |
dc.subject | CMMN | |
dc.subject | Planning | |
dc.title | Run-Time Planning of Case-based Business Processes | |
dc.type | 04B - Beitrag Konferenzschrift | |
dspace.entity.type | Publication | |
fhnw.InventedHere | Yes | |
fhnw.IsStudentsWork | no | |
fhnw.PublishedSwitzerland | No | |
fhnw.ReviewType | Anonymous ex ante peer review of a complete publication | |
fhnw.affiliation.hochschule | Hochschule für Wirtschaft | de_CH |
fhnw.affiliation.institut | Institut für Wirtschaftsinformatik | de_CH |
fhnw.pagination | 57-64 | |
fhnw.publicationState | Published | |
relation.isAuthorOfPublication | 6898bec4-c71c-491e-b5f8-2b1cba9cfa00 | |
relation.isAuthorOfPublication.latestForDiscovery | 6898bec4-c71c-491e-b5f8-2b1cba9cfa00 |
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