Balancing cost and risk in strategic decision-making
Understand the role of Cost and Risk-Based Decision Support Systems (CRDSS) Balancing operational efficiency, cost and sustainability is a strategic priority for organisations across all industrial sectors. But it’s easier said than done. Complex industrial processes require multi-objective, data-driven decision-making based on insights from multiple sources. Cost and Risk-Based Decision Support Systems (CRDSS) bring an advanced […]
Unlocking Zero-Defect Manufacturing with Process Genomics
Learn how Genomic AI optimises complex industrial processes, improves production quality and reduces waste in this new whitepaper.Industrial Process Genomics is an innovative approach that aims to revolutionise quality control and defect prevention in industrial processes, offering a pathway to true zero-defect production. This whitepaper looks at the application of Process Genomics to a variety […]
Decision-Making: Trust Your Gut or Trust Your Data?
Complex industrial processes require data-driven decision-making based on insights from multiple sources. CRDSS provides organisations with the tools to make well-rounded decisions by consolidating data from diverse sources such as production, maintenance, resource usage, and financial performance to drives smarter decision-making. When it comes to making decisions about food, most of us go with […]
How CRDSS is Transforming Decision-Making Across Industries
Balancing operational efficiency, cost and sustainability is a strategic priority for organisations across all industrial sectors. But it’s easier said than done. Cost and Risk-Based Decision Support Systems (CRDSS) bring an advanced AI-powered approach to decision-making that integrates real-time data, advanced analytics and scenario modelling. Balanced, strategic decision-making isn’t easy at the best of times. […]
iSurface – Reducing Failure in Composite Materials
The iSurface project focuses on reducing failure in composite materials through state-of-the-art data acquisition, production flow analysis, and decision support tools. Z Prime leverages its expertise in digitalisation and AI-driven manufacturing to optimise monitoring and production processes, ensuring enhanced structural integrity and reliability of composite materials. Challenges Composite materials are prone to complex failure […]
ELOXYCHEM – Predicting and Verifying Production Stability in Electrochemical Oxidation Processes
95% of manufactured goods include chemicals and as the 4th largest industry in Europe, oxidative chemical conversion processes in manufacturing account for 5% of the EU’s greenhouse gas (GHG) emissions. ELOXYCHEM aims to establish a commercially relevant electrochemical oxidation process to replace existing chemical conversion methods reliant on imported materials and fossil fuels and support […]
CIRC4Bio – Advancing Circular Economy in Biomass Refining
CIRC4Bio exemplifies an innovative approach to advancing circular economy principles within the biotechnology sector. Co-funded by LIFE, the EU’s environmental and climate action financial instrument, the project focuses on converting multi-source biomass into high-value products while minimising environmental impact. Z Prime plays a crucial role in evaluating biorefinery plant requirements and developing a comprehensive Biowaste […]
WAVETAILOR – Laser-Based Additive Manufacturing (LBAM)
The WAVETAILOR project pioneers sustainable Laser-Based Additive Manufacturing (LBAM) by employing robust Digital Twin technology. This innovation ensures first-time perfect assemblies and achieves an 80% reduction in scrap. Z Prime’s platform integrates bespoke Intelligent Data Acquisition, analytics, machine learning, and AI solutions to optimise the manufacture of high-precision aerospace products with complex geometries. Challenges […]
CLASCO – Climate Neutral and Digitalised Laser-Based Surface Functionalisation of Complex Geometry Parts
The CLASCO project aims to revolutionise additive manufacturing (AM) through a digitalised, climate-neutral approach using laser-based surface functionalisation. Z Prime is implementing a universal, AI-driven digitalised process plan for creating functionalised AM parts with complex geometries, focusing on improving efficiency, quality, and environmental sustainability. Challenges The additive manufacturing industry often grapples with inefficiencies due […]
Valzeo – Process Monitoring for Industrial-scale IoT Applications
The Valzeo project focuses on enhancing process monitoring for industrial-scale IoT applications. Z Prime leads the development of AI-driven solutions for environmental remediation and biofuel production, providing system performance optimisation through their unique platform. This initiative integrates machine learning (ML) and AI to build a robust software application and platform for Industrial IoT (IIoT) standards. […]
