Inspection planning by defect prediction models and inspection strategy maps
| Autor: | Maurizio Galetto, Gianfranco Genta, Fiorenzo Franceschini, Elisa Verna |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Low-volume production General interest Computer science Mechanical Engineering Design tool Assembly Probabilistic logic Quality control Inspection planning Inspection design 02 engineering and technology Benchmarking Industrial engineering Industrial and Manufacturing Engineering 03 medical and health sciences 020901 industrial engineering & automation 0302 clinical medicine 030221 ophthalmology & optometry Production (economics) Quality control Inspection planning Inspection strategy map Inspection design Assembly Low-volume production Inspection strategy map Strategy map Predictive modelling |
| Popis: | Designing appropriate quality-inspections in manufacturing processes has always been a challenge to maintain competitiveness in the market. Recent studies have been focused on the design of appropriate in-process inspection strategies for assembly processes based on probabilistic models. Despite this general interest, a practical tool allowing for the assessment of the adequacy of alternative inspection strategies is still lacking. This paper proposes a general framework to assess the effectiveness and cost of inspection strategies. In detail, defect probabilities obtained by prediction models and inspection variables are combined to define a pair of indicators for developing an inspection strategy map. Such a map acts as an analysis tool, enabling positioning assessment and benchmarking of the strategies adopted by manufacturing companies, but also as a design tool to achieve the desired targets. The approach can assist designers of manufacturing processes, and particularly low-volume productions, in the early stages of inspection planning. |
| Databáze: | OpenAIRE |
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