Solutions
Silver Edge delivers mature data analytics solutions ready to solve asset management problems. We combine domain knowledge with predictive and prescriptive analytics through application of Machine Learning and Artificial Intelligence.
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We aim to harness existing data, breakdown traditional thinking and support the effective use of technology to enhance asset performance and reliability.
Asset Management Services
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Asset Management Strategy
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Risk management framework
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Maintenance strategy development and review
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Asset risk assessments and registers
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Asset management planning
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Asset decommission and rehabilitation
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Capital rewewal planning
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Engineering Management & Advisory
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Standards, code of practice
and policy advisory -
Asset performance metrics
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Engineering quality management
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Operational readiness and commissioning
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Project management and engineering
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Planning and program management
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Precontracts and estimating
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Field verification and inspections
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Fit for purpose engineering design
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Asset data, information and analytics​
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Work management and maintenance
system (CMMS) strategy and support -
Data engineering, integration, and quality assurance (QA)
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Asset condition monitoring and
data capture -
Linear asset survey data management
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Asset register development and visualisation
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Simulation modelling, machine learning, and AI
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Asset health and deterioration
modelling -
Predictive maintenance
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Asset performance data visualisation
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Data analytics
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Reliability Engineering
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Root cause analysis
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FMECA
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RCM
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(Pre) Feasibility Study
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Options analysis
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Feasibility studies
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Preliminary design concepts
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Constructability assessment
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Asset management needs
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Operational strategies
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Technologies
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Safety solutions
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IoT sensing solutions
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Implementation planning and delivery
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Type Approval
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Safety regulator approval
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Human factor and Risk analysis
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Cyber security analysis
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Concept of Operations
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Proof of Concepts (operational trials)
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Change management strategy
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Stakeholder collaboration
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User training
Asset Management Technologies
A combination of innovative technologies with tailored strategic and operational asset management services, assists clients by analysing and visualising the current and future condition of assets to make an impact on maintenance strategy, to develop greater reliability of their asset and to optimise the asset lifecycle.
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Silver Edge works with leading asset technology companies to develop and apply innovative and modern solutions for smart asset management.
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As an exclusive distributor for Dual Inventive, we are improving safety and efficiency while reducing downtime in the rail environment. We are working at the forefront of trackworker safety and enabling IoT applications for rail.
Digital Transformation via IoT
Safe & real-time access to asset condition status
Enabling pre-emptive maintenance response
Low-cost technology - increase coverage of the network
Data security via secure cloud platforms
Improving worker safety and efficiency, and reducing downtime on the operating railway
Digital Transformation
Silver Edge are leaders in taking infrastructure owners on their digital transformation journey.
Through our deep domain knowledge and asset management expertise, we lead customers through the complex process of preparing data and business processes for digital transformation.
“Distil meaning from your data and drive decisions to optimise the availability of your assets”.
We understand the business value of delivering real time asset management, and how to embed new technologies within existing business processes. We collaborate with clients to enhance focus and capabilities to solve problems while maximising asset value and return on investment
Silver Edge combines the power of data science, technology insights and engineering expertise. Together these provide increased efficiency and effectiveness, resulting in reliable infrastructure, increased availability, capacity and performance.
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Our custom-built digital analytics tools and technology allows the gathering of data from many different sources, making sense out of large amounts of inputs.
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With an integrated data approach you’re able to drive efficiencies through real time decision making. This creates optimised operational performance, management of faults and failures through insights and actions, the journey from condition-based maintenance to predictive maintenance through machine learning and the use of dashboards to analyse the data against KPIs.
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The key outcome is to achieve optimised availability of your assets, automation of asset reliability and health, achieving your KPIs through real time data led planning, improved safety, predictive maintenance and a reduction in faults and maintenance costs.
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