Run-time planning of case-based business processes

Danillo Sprovieri 1 Daniel Diaz 1 Raúl Mazo 1 Knut Hinkelmann 2
1 Centre de Recherche en Informatique
2 FHNW - Fachhochschule Nordwestschweiz [Windisch]
Abstract : Context: 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.
Keywords : Artificial Intelligence Business Process CMMN Planning
Type de document :
Communication dans un congrès
IEEE 10th International Conference on Research Challenges in Information Science, Jun 2016, Grenoble, France. 2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS), pp.1 - 6, 2016, 〈10.1109/RCIS.2016.7549282〉
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https://hal-paris1.archives-ouvertes.fr/hal-01423708
Contributeur : Danillo Sprovieri <>
Soumis le : samedi 31 décembre 2016 - 00:58:10
Dernière modification le : mardi 2 janvier 2018 - 09:50:04
Document(s) archivé(s) le : samedi 1 avril 2017 - 12:09:37

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Danillo Sprovieri, Daniel Diaz, Raúl Mazo, Knut Hinkelmann. Run-time planning of case-based business processes. IEEE 10th International Conference on Research Challenges in Information Science, Jun 2016, Grenoble, France. 2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS), pp.1 - 6, 2016, 〈10.1109/RCIS.2016.7549282〉. 〈hal-01423708〉

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