This Knowledge Transfer Partnership (KTP) project aims to transform manufacturing processes at MAL with a focus on energy efficiency and carbon content transparency.
The key objectives are to measure energy usage, principally electricity consumption, for various processes and provide detailed carbon footprint data at the component level. By leveraging advanced data collection and analysis, this project will give the company ability to monitor energy usage, identify inefficiencies, and demonstrate tangible impact.
The project will focus on collecting, analysing, and interpreting energy data that is directly related to specific machine centres and products. This will provide a systematic, rigorous approach for specifying the carbon content of MAL’s work on any given component to satisfy the EU’s Carbon Border Adjustment Mechanism (CBAM). Assessing carbon footprint at the component level is a novel approach which will differentiate MAL in the market.
Candidate Profile: Qualified to MSc level, ideally a first degree in either Production Engineering or Business & Computing; followed by an MSc or MBA focused on Business Sustainability / Operations Management with modules in IT.
Essential skills/ experience include:
Experience of working in manufacturing companies and addressing complex and ambitious goals.
Experience in managing small/medium projects.
Some technical understanding in the areas of sustainable manufacturing (environmental/quality management systems, life-cycle analysis, performance measurement, etc).
Practical experience in working with multi-disciplinary teams.
Desirable:
Prior knowledge of manufacturing strategy, business sustainability, or performance measurements.
Understanding of how businesses operate.
Main responsibilities:
Understand EU’s Carbon Border Adjustment Mechanism (CBAM).
Evaluation of data-capture technology and Digitalisation of energy consumption.
Energy / Carbon Data Visualisation and Analysis.
Commercialisation of results and understanding markets.
Sustainable Innovation, life-cycle analysis.
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