Maximilian Stout is investigating the use of Predictive Analytics Machine Learning models to Forecast Supply Chain Disruption. As a PhD student, he is working in partnership between the University of Exeter and the Management Consultancy, Vendigital.
The research focus is on creating Machine Learning models with client data to predict the risk of disruptions occurring by quantifying the impact of variables using Spend Analytics and Bill of Materials data. The desired outcome is that businesses can proactively protect their supply chains by identifying at-risk suppliers and implementing targeted resilience measures.
He has been working at the DIGIT Lab as a Project Research Assistant preparing data, producing models and conducting analysis.
His Master’s was in International Business from the University of Exeter, where he aligned the course to his interest in emerging technologies in the Digital Economy through the electives “Strategic Innovation Management” and “Artificial Intelligence and Law”. As an undergraduate he studied Physics, covering core concepts including mathematics and structured programming. Maximilian is fluent in German and completed a year as an Erasmus Student at the University of Konstanz, Germany.
Part of the University of Exeter Business School
INDEX is a Faculty of Environment, Science and Economy (ESE) Research Centre at the University of Exeter. Our multidisciplinary team looks at the coalescing of data with value, and its implication upon individuals, organisations, innovation and society. Our team brings together computer science, social science and engineering design perspectives.
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