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A MDE-based framework to improve the process management: The EMPOWER project
- Source :
- INDIN, idUS. Depósito de Investigación de la Universidad de Sevilla, instname
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- Today’s world economic situation is ruled by issues such as reducing cost, improving quality, maximizing profit and improving and optimizing production processes at any kind of organization. In this context, BPM (Business Processes Management) can be an essential strategy. However, there are business situations where is necessary to define innovation solutions to apply BPM in a proper way (e.g., needs of interoperability between process modeling languages, mechanisms to generate the executable model of the process maintaining the traceability with the definition model of the process, mechanisms to manage the measurement of processes from early stages, etc.). This paper describes and analysis some of these situations and proposes a framework based on MDE (Model-Driven Engineering) to support these needs. This MDEbased framework is also supported by the EMPOWER platform which has been developed in an innovation project carried out by Servinform Company and our research group (IWT2, University of Seville, Spain). This platform allows applying advanced MDE techniques to improve the application of BPM in business environments. Ministerio de Economía y Competitividad TIN2016-76956-C3-2-R Ministerio de Economía y Competitividad TIN2015-71938-REDT
- Subjects :
- Engineering
Process management
Traceability
Process modeling languages
business.industry
Business process
Model-driven paradigm
Interoperability
Business processes management
020207 software engineering
02 engineering and technology
computer.file_format
Business process modeling
Innovation project in enterprise
Profit (economics)
Business process management
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Executable
business
computer
Subjects
Details
- ISSN :
- 20167695
- Database :
- OpenAIRE
- Journal :
- 2017 IEEE 15th International Conference on Industrial Informatics (INDIN)
- Accession number :
- edsair.doi.dedup.....52591ce126a8ababeca1c3f0e63d4423
- Full Text :
- https://doi.org/10.1109/indin.2017.8104832