Examensarbete - Flödeseffektivitet/Machine learning
1 week ago
Civilingenjör Datateknik
Vi söker studenter som vill utforska hur data, maskininlärning och AI kan hjälpa oss att identifiera, förstå och förbättra våra flöden – och därigenom bidra till en ännu mer samspelt och effektiv verksamhet.
Om uppgiften
Vi befinner oss i en spännande resa mot ökad flödeseffektivitet – där målet är att hela verksamheten, från teknik till processer och människor, ska arbeta i takt för att skapa maximalt värde med minimalt slöseri.
Det här exjobbet går ut på att:
- Utforska hur maskininlärning, AI och dataanalys kan användas för att identifiera flaskhalsar, mönster och ineffektiva processer i våra flöden.
- Analysera historisk data för att hitta samband mellan ärenden, resurser och ledtider.
- Utvärdera olika metoder unsupervised learning, clustering) för att skapa insikter som kan stödja datadrivet beslutsfattande.
- Ge rekommendationer för hur vi med hjälp av AI kan övervaka och förbättra flödeseffektiviteten över tid.
Låter det spännande? skicka in din intresseanmälan
här
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Sundsvall, Sweden Knightec Group Sweden Full time 400,000 - 600,000 per yearHigh level descriptionThis thesis focuses on evaluating different predictive maintenance models using provided industrial datasets. The goal is to determine which models are most effective in predicting failures and enabling proactive maintenance. The study will compare approaches such as anomaly detection, time-series forecasting, and classification-based...
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