Run-time planning of case-based business processes

Danillo Sprovieri (1) , Daniel Diaz (1) , Raul Mazo (1) , Knut Hinkelmann (2)

1 CRI - Centre de Recherche en Informatique de Paris 1
2 FHNW - Fachhochschule Nordwestschweiz [Windisch]

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

Domains: Computer Science [cs]

Danillo Sprovieri, Daniel Diaz, Raul 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. pp.1 - 6, ⟨10.1109/RCIS.2016.7549282⟩. ⟨hal-01423708⟩