Sustainable and Compliant Industrial Operations for the Digital Era
Co-optimising Efficiency, Quality and Sustainability, Circularity
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Co-optimising Efficiency, Quality and Sustainability, Circularity
The Z Prime platform is an industry-agnostic solution that collects multiple sources of data, models reality in a Genomic AI Platform, which wraps itself around the physical system using sophisticated analytics, provides deep insights and predictive simulations across multiple concurrent areas of an Enterprise: productivity, efficiency, quality, inventory and environmental impact.
The Z Prime Genomic AI Platform is a cloud-based service that is available in private/public/hybrid clouds or on-premise deployment options.
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The Z Prime Insights software product leverages the data provided by the Z Prime Genomic AI Platform to provide the following key features.
At the heart of the Z Prime software platform is the Z Prime Genomic AI Platform that turns data into a real-time digital replica of an industrial organisation to enable insights and advanced decision support systems including predictive simulation and co-optimising of operational and environmental objectives.
Z Prime’s iDAQ is an intelligent data acquisition system that collects, cleans, and pre-processes data from both Operational Technology (OT) and Information Technology (IT) sources within a manufacturing environment. The system integrates data from a variety of OT devices such as sensors, SCADA systems, PLCs, cameras, and actuators.
Co-optimising Efficiency, Quality and Sustainability, Circularity
The Z Prime platform is an industry-agnostic solution that collects multiple sources of data, models reality in a Genomic AI Platform, which wraps itself around the physical system using sophisticated analytics, provides deep insights and predictive simulations across multiple concurrent areas of an Enterprise: productivity, efficiency, quality, inventory and environmental impact.
The Z Prime Genomic AI Platform is a cloud-based service that is available in private/public/hybrid clouds or on-premise deployment options.
(Click To Expand)
The Z Prime Insights software product leverages the data provided by the Z Prime Genomic AI Platform to provide the following key features.
At the heart of the Z Prime software platform is the Z Prime Genomic AI Platform that turns data into a real-time digital replica of an industrial organisation to enable insights and advanced decision support systems including predictive simulation and co-optimising of operational and environmental objectives.
Taking pre-processed data from the iDaQ, the Big Data Collider analyses it, understands its context and relationships with other data and manipulates and fuses it in ways that enable it to be used by relevant models in the Reality Modeller.
Z Prime leverages several different models to create a digital twin including ML/AI, data-driven, mass balance, event-driven, physics-based and computer vision models. It also includes the unique Genomic of Industrial Process™ that models causal relationships against desired and undesired outcomes, and identifies the underlying drivers (the ‘genes’) enabling complex diagnosis and rectification of manufacturing process defects beyond the scope of standard Deep Neural Network algorithms.
Data is used by the models to present real-time data that comprehensively models reality through complex calculations integrated across the key areas of: productivity (availability, OEE), efficiency (energy, discrete energy profiling), quality (defects, reliability), inventory (track & traceability, production scheduling) and environmental impacts (carbon footprint, circularity, sustainability).
Z Prime’s iDAQ is an intelligent data acquisition system that collects, cleans, and pre-processes data from both Operational Technology (OT) and Information Technology (IT) sources within a manufacturing environment. The system integrates data from a variety of OT devices such as sensors, SCADA systems, PLCs, cameras, and actuators.
iDAQ efficiently handles data from IT systems including ERP (Enterprise Resource Planning), MES (Manufacturing Execution Systems), SCM (Supply Chain Management), and ESG (Environmental, Social, and Governance) databases.
More than simple data collection and formatting, it utilises five critical checks on the raw data, conducting preliminary data preparation and analytics to package it for processing by the Big Data Collider.
United Kingdom
Germany
United Arab Emirates
United Kingdom
Germany
United Arab Emirates
