Versia – Resource Optimisation (Material and Human) Versia Sector: Commercial sector Business Case This is a human resources optimisation algorithm. Using data from plant operations, receipts, and other activities, along with human workload trends over time and considering the unique work calendars of each centre, it defines and predicts the required human profiles to meet […]
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Petronor – Monitoring of assets to assess their condition and degradation Petronor Sector: Industry Business Case How can we implement a continuous monitoring system to assess the condition and degradation of industrial pumps? In order to anticipate faults, minimise the financial impact and guarantee the continuous operation of the industrial process. Aware that currently the
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Sener – EMS, Energy Management System, Energy Infrastructure Network Operation Optimisation Sener Sector: Energy Business Case EMS is an autopilot that makes it possible to optimally operate infrastructure networks that consume and/or produce and/or store energy. It can manage networks of any type, and with different energy carriers (electricity, gas, H2, steam, etc.). In addition
Inzu Group – Predictive Maintenance of Railway Diversion Elements (SMART DIVERTER) Inzu Group Sector: Mobility Business Case Railway diversions are crucial components of the infrastructure and are significantly impacted in their regular operation. Additionally, the construction material, manganese steel, while noble, tends to develop cracks in hidden areas and is resistant to traditional inspection methods,
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Inzu Group – Federated Artificial Intelligence for Predictive Maintenance on Bridges (FAI4CIM) Inzu Group Sector: Industry Business Case Currently, there is no cost-effective method for automatically detecting structural issues in bridges (10% in Europe, 30% in the USA). Inspection (procedure for assessing the condition of an infrastructure in use) was based on subjective criteria. The
ITP Aero – ML-Based Turning Process Capability Improvement ITP Aero Sector: Industry Business Case The goal is to enhance the capability indices of the turning process (Cp, Cpk) through the application of ML techniques. Models based on data from the process itself will be used to make the process self-adaptive. Objectives Improve process capability (reduction
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ITP Aero – Improving Melting Curves for Lost Wax Processes ITP Aero Sector: Industry Business Case The goal is to reduce defects in the final product by modifying the melting curves of the material ingots using data-driven models. Objectives Improve product quality. Use case Identify all parameters of the melting curves relevant to product quality.
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ITP Aero – Improving the Broaching Process Using ML ITP Aero Sector: Industry Business Case It seeks to improve both the capacity (variability reduction) and quality of broached products at ITP Aero through data-driven modelling. Objectives Process capability improvement (reduction of dimensional variability) and quality improvement (reduction of allowances) through the use of ML-based correctors
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Lantek – Forescrap: Prediction Service for Scrap Generated in Sheet Metal Cutting Processes Lantek Sector: Industry Business Case In metal part manufacturing processes involving cutting, the generation of scrap or unused material is closely tied to how efficiently the parts are arranged on the sheet metal. In order to address this challenge, the Forescrap system
Ayesa – Cardiac risk prediction Ayesa Sector: Health Business Case Improve the triage of patients with non-traumatic pain in the A&E department (ischemic heart disease) to reduce the number of false positives without increasing false negatives. Objectives Correctly classify ischemic heart disease in A&E with emphasis on minimising false negatives that mean that someone may
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