Run-Time Planning of Case-based Business Processes
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Authors
Author (Corporation)
Publication date
2016
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editors
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Parent work
IEEE 10th International Conference on Research Challenges in Information Science
Special issue
DOI of the original publication
Link
Series
Series number
Volume
Issue / Number
Pages / Duration
57-64
Patent number
Publisher / Publishing institution
IEEE
Place of publication / Event location
Grenoble
Edition
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Practice partner / Client
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.
Keywords
Artificial Intelligence, Business Process, CMMN, Planning
Subject (DDC)
Event
2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS)
Exhibition start date
Exhibition end date
Conference start date
01.06.2016
Conference end date
03.06.2016
Date of the last check
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ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
License
Citation
Hinkelmann, K., Sprovieri, D., Diaz, D., & Mazo, R. (2016). Run-Time Planning of Case-based Business Processes. In S. España, J. Ralyté, & C. Souveyet (Eds.), IEEE 10th International Conference on Research Challenges in Information Science (pp. 57–64). IEEE. https://doi.org/10.1109/RCIS.2016.7549274