Sökning: onr:"swepub:oai:DiVA.org:his-21115" >
A Knowledge Extract...
A Knowledge Extraction Platform for Reproducible Decision-Support from Multi-Objective Optimization Data
-
- Lidberg, Simon, MSc. 1986- (författare)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Volvo Group Trucks Operations, Skövde, Sweden,Production and Automation Engineering,Volvo Group,University of Skövde
-
- Frantzén, Marcus, 1981 (författare)
- Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden,Chalmers tekniska högskola,Chalmers University of Technology
-
- Aslam, Tehseen, 1981- (författare)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Production and Automation Engineering,University of Skövde
-
visa fler...
-
- Ng, Amos H. C., 1970- (författare)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Production and Automation Engineering,University of Skövde
-
visa färre...
-
(creator_code:org_t)
- Amsterdam; Berlin; Washington, DC : IOS Press, 2022
- 2022
- Engelska.
-
Ingår i: SPS2022. - Amsterdam; Berlin; Washington, DC : IOS Press. - 9781643682686 - 9781643682693 ; 21, s. 725-736
- Relaterad länk:
-
https://doi.org/10.3...
-
visa fler...
-
https://his.diva-por... (primary) (Raw object)
-
https://research.cha... (primary) (free)
-
https://urn.kb.se/re...
-
https://doi.org/10.3...
-
https://research.cha...
-
visa färre...
Abstract
Ämnesord
Stäng
- Simulation and optimization enables companies to take decision based on data, and allows prescriptive analysis of current and future production scenarios, creating a competitive edge. However, it can be difficult to visualize and extract knowledge from the large amounts of data generated by a many-objective optimization genetic algorithm, especially with conflicting objectives. Existing tools offer capabilities for extracting knowledge in the form of clusters, rules, and connections. Although powerful, most existing software is proprietary and is therefore difficult to obtain, modify, and deploy, as well as for facilitating a reproducible workflow. We propose an open-source web-based application using commonly available packages in the R programming language to extract knowledge from data generated from simulation-based optimization. This application is then verified by replicating the experimental methodology of a peer-reviewed paper on knowledge extraction. Finally, further work is also discussed, focusing on method improvements and reproducible results.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Nyckelord
- multi-objective optimization
- knowledge extraction
- industry 4.0
- decision-support
- industrial optimization
- Production and Automation Engineering
- Produktion och automatiseringsteknik
- VF-KDO
- VF-KDO
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
-
SPS2022
(Sök värdpublikationen i LIBRIS)
Till lärosätets databas