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Product Line Configuration Meets Process Mining
- Source :
- CENTERIS, CENTERIS, Oct 2019, Sousse, Tunisia. pp.199-210, ⟨10.1016/j.procs.2019.12.173⟩
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
-
Abstract
- International audience; Product line engineering is a new production paradigm that provides organizations a competitive edge by improving productivity and decreasing costs. The purpose with this new production paradigm is no longer to develop a single product but to develop a product family and to generate the products of the line through configuration processes. However, the potential benefits of product line engineering can be missed when dealing with large product lines because the configuration processes become error prone tasks. Consequently, guiding stakeholders during such complex configuration processes and recommending the best configuration alternatives until leading to a satisfying experience becomes a challenge. This paper focuses on enhancing product line configuration processes through process mining techniques. Therefore, user's actions of previous product line configurations are logged, mined and analyzed. We conducted a preliminary research to motivate the advantages of process mining in product line configuration and to explore what can process mining bring for configuration processes and how to use it to enhance configuration processes. Thus, guidance questions are sketched in order to position process mining as a solving tool for the configuration difficulties. Furthermore, we propose a reference architecture that considers process mining for configuring product lines.
- Subjects :
- Computer science
configuration process
process mining
Process mining
02 engineering and technology
[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]
Competitive advantage
Industrial engineering
Order (exchange)
020204 information systems
configuration difficulties
Product line engineering
0202 electrical engineering, electronic engineering, information engineering
General Earth and Planetary Sciences
Domain engineering
020201 artificial intelligence & image processing
Reference architecture
Product (category theory)
Line (text file)
Productivity
enhancing
General Environmental Science
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- CENTERIS, CENTERIS, Oct 2019, Sousse, Tunisia. pp.199-210, ⟨10.1016/j.procs.2019.12.173⟩
- Accession number :
- edsair.doi.dedup.....2f5536efe453b9477d873cb7db8fa787