Reproducible decision support for industrial decision making using a knowledge extraction platform on multi-objective optimization data

• Simulation-based optimisation enables companies to take decisions based on data, and allows prescriptive analysis of current and future production scenarios, creating a competitive edge. However, effectively visualising and extracting knowledge from the vast amounts of data generated by many-objective optimisation algorithms can be challenging. We present an open-source, web-based application in the R language to extract knowledge from data generated from simulation-based optimisation. For the tool to be useful for real-world industrial decision-making support, several decision makers gave their requirements for such a tool. This information was used to augment the tool to provide the desired features for decision support in the industry. The open-source tool is then used to extract knowledge from two industrial use cases. Furthermore, we discuss future work, including planned additions to the open-source tool and the exploration of automatic model generation.

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 -- Programvaruteknik (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)

Nyckelord

knowledge-extraction

reproducible science

simulation-based optimisation

industrial use-case

decision-support

knowledge-driven optimisation

VF-KDO

VF-KDO

Virtual Production Development (VPD)

Virtual Production Development (VPD)

Publikations- och innehållstyp

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