An Automated Methodology for Identification and Analysis of Erroneous Production Stop Data
The primary aim of the project is to automate the process of identifying erroneous entries in stop data originating from a given production line. Machines or work stations in a production line may be stopped due to various planned (scheduled maintenance, tool change, etc.) or unplanned (break downs,...
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| Format: | Others |
| Language: | English |
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Högskolan i Skövde, Institutionen för ingenjörsvetenskap
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19126 |