Modelbased RAMS for mission safety critical systems INCOSE

Model-based RAMS for mission / safety critical systems INCOSE - 2018 (January) Unrestricted

Presentation Structure 1. PHM Technology Overview 2. What is RAMS? 3. Trends impacting RAMS 4. What is wrong with RAMS today? 5. RAMS for Systems Engineering 6. The MADe solution 7. What MADe does 8. How model-based RAMS is different 9. Model-based RAMS for Systems Engineering 10. Benefits of Model-based RAMS 11. Closing the loop for RAMS 12. Summary INCOSE - 2018 (January)

PHM Technology Overview • Develop the Maintenance Aware Design environment (MADe) • MADe is a RAMS & CBM analysis solution with the cost, schedule and engineering process benefits of a model-based technology • Global customer base in Aerospace and Defence • Siemens OEM Partner for Safety and Reliability • Established 2006, HQ in Melbourne, Australia INCOSE - 2018 (January)

What is RAMS? Reliability & Availability Maintainability INCOSE - 2018 (January) Safety

Trends impacting RAMS Increasing complexity Distributed Design (data / analysis synchronicity) INCOSE - 2018 (January) Design / Certification (schedule & costs rising)

What’s wrong with RAMS today? Current tools (commercial / in-house): 1. Subjective process – complexity of systems a problem 2. Manual approach – authoring not generating the data 3. Lack of integration – analyses must be manually combined 4. Lack of consistency – terminology /methodology 5. Lack of configuration management – design / PLM 6. Limited reusability of data 7. Limited knowledge capture / transfer INCOSE - 2018 (January) Result: significant resources, schedule and cost to generate any analysis – does not consistently achieve design optimization

RAMS for Systems Engineering How do we reduce the Total Cost of Ownership? How do we objectively identify, analyze and mitigate all engineering risks? How can we improve the accuracy and reduce the cost of conducting RAMS analysis? How can we improve operational reliability? How to capture / transfer system knowledge and lessons learned for long-life programs? How can we leverage diagnostics / the Io. T? Is technology available that can improve / automate RAMS analyses? INCOSE - 2018 (January) Is there a business case to support an improved process / technology?

The MADe Solution • The Maintenance Aware Design environment (MADe)is a model-based engineering analysis and decision support solution with an integrated tool chain that is integrated with PLM. • MADe uses functional simulation to consistently identify and mitigate engineering risk based on the potential technical, capability and economic consequences. • MADe optimizes engineering processes by enabling concurrent analyses to ensure design and sustainment decisions are technically valid and economically justified. INCOSE - 2018 (January)

What MADe does INCOSE - 2018 (January)

How Model-Based RAMS is different… The benefits of MADe: 1. Objective process – handles increasing complexity 2. Automated approach – generating not authoring data 3. Integrated – common source of truth across a project 4. Consistency – defined workflows 5. Configuration management of analysis with PLM 6. Libraries ensure reusability of data 7. Data visualization enables knowledge capture / transfer Result: concurrent , automated analysis enables input from all departments to support design optimization INCOSE - 2018 (January)

Model-based RAMS for Systems Engineering Concurrent verification and certification Integrated design INCOSE - 2018 (January) Design for Support (optimize LCC)

Benefits of Model-based RAMS Data structures and processes to enable synchronous distributed design Objective, integrated technical risk management concurrent with each iteration of the design INCOSE - 2018 (January) Reduce the cost of design and support based on RAMS

Closing the Loop for RAMS INCOSE - 2018 (January)

Summary 1. Model-based RAMS has cost / schedule / engineering benefits. 2. Implementation of model-based RAMS enables the Digital Twin. 3. Support optimization (sustainment / asset management) requires model-based RAMS – ideally from the concept design stage – but alternatively when the asset is in service. Additional information is available from: cstecki@phmtechnology. com ken. oister@siemens. com / mark. sampson@siemens. com www. phmtechnology. com INCOSE - 2018 (January)