Angelo Cinquemani
Data-driven Overall Equipment Effectiveness modelling and optimal scheduling in GSK Oak Hill (NY, US) Production Site.
Rel. Roberto Fontana, Gueorgui Mihaylov. Politecnico di Torino, Master of science program in Engineering And Management, 2022
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Abstract
Overall Equipment Effectiveness (OEE) is a core Key Performance Indicator (KPI) in industrial manufacturing. The downtime experienced by production resources negatively affects it. Root cause analysis from data retrieved highlights that combinations of products and packaging materials impact unplanned maintenance time of manufacturing and packaging lines. The main idea of the project is to create an optimal scheduling model whose aim is to maximise the resource utilisation recommending combinations of products, mixers, packaging materials and packaging lines. It has been developed with the constant support of GlaxoSmithKline/Haleon R&D Team. The development process starts collecting and analysing real datasets about GSK Oak Hill (NY, US) Production Site.
Process Mining is exploited in order to discover the end-to-end production flow
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