Digital Industry
Solutions for Electronics
Reliability and Maintenance Systems
Mitigate technical engineering based risks that impact performance, operational availability and the cost of maintenance using modelling, analysis and decision support workflows.
Modelling & Analysis
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Systems Engineering approach to functional modelling of multi-domain systems
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Concurrent engineering analyses from a single point of truth
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Consistency of data structures / analysis workflows / reporting outputs
Design Optimization
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To achieve Operational Availability of 95% what reliability do the subsystems need?
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How can we conduct safety & reliability analysis concurrently with the design?
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How much will this design cost to operate and maintain?
Sustainment Optimization
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What happens to maintenance costs if we increase the operating temp?
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How can we reduce the maintenance budget for our existing equipment?
Reliability and Maintainability
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How will this system be used – how does this impact reliability / safety?
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Where will this system be used – and how will this impact on maintenance costs?
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What is the optimal maintenance approach?
Safety and Risk Assessment
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If you don’t identify a risk – how can you identify it? Objective, model-based risk identification.
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What are the critical risks for this support concept?
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What are the potential key system degraders of this design configuration?
PHM / CBM design & validation
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What inherent diagnostic capability does this system have?
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Does this sensor / suite ‘buy its way onto the platform’?
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Generate model-based diagnostic rules for fault detection / isolation
What MADe does
MADe is used to enable better decisions about the design and support of safety / mission critical equipment at each stage of the product lifecycle.
Reduce risk using interdependent analysis capabilities that consider the technical, operational and economic requirements of the operator and/or maintainer of the system.
How MADe works
MADe is a model based technology – where each block in the model is associated with key attributes / parameters including the functional description, failure information, criticality of each (cause, mechanism, fault, symptoms), etc.
MADe can be used to model the functional requirements of a platform of a design (at all stages in the design process) or for legacy equipment. As the design matures to the point where specific equipment is identified, indenture levels can be added to the model for the systems, sub-systems, assemblies, components and parts (if required for analysis).
The ability to rapidly generate or update the system model means that it is possible to introduce configuration management of the analysis process – particularly difficult to achieve with spreadsheet based tools.
Where MADe is used
MADe provides modelling, analysis and decision support to identify and mitigate engineering risk based on its identified potential technical, operational and economic consequences.
MADe is a decision support solution based on engineering analysis that provides the right information and analysis to efficiently make design / project / program decisions that are technically valid and economically justified at every stage of the product lifecycle.
