We provide solutions integrating reliability engineering and optimisation methods and techniques that fit your needs:

  • Reliability, availability, and maintainability programme management: ReliaOpt is experienced in leading and managing reliability, availability, and maintainability for programmes and projects with various stakeholders. We develop plans and guidelines to allow a standardised approach across various actors, allowing the integration of outputs into the overall programme. We are experts in the deployment of EN-50126 for assurance of reliability, availability, and maintainability throughout the project life cycle (see details).
  • Reliability, availability, and maintainability assurance and optimisation: At ReliaOpt we carry out reliability, availability, and maintainability assessments of design solutions throughout its development. We do FBDs, FMEAs, FMECAs, and RAM predictions (modelling systems using FTAs, RBDs, or Markov Chains). We identify reliability critical items and requirements for design development, procurement, operation, maintenance, and spare parts to ensure that the system being designed will achieve the expected level of performance once in operation. We can assess the impact on the whole life cycle cost of each option, considering the impacts of business interruption and costs associated with the deployment, operation and maintenance of each option (see details).
  • Reliability, availability, and maintainability monitoring, growth and demonstration: ReliaOpt collects reliability, availability, and maintainability data, at system, sub-system, and asset levels. We set the processes and tools to support the demonstration of performance for new assets. To do this we produce reliability growth analysis, and we apply statistical tools to identify systematic failures. We produce customised dashboards to efficiently visualise the performance and improvements required to the set of systems, sub-systems, and assets being monitored, leading and optimising the efforts of FRACAS/DRACAS workgroups and maximising the growth of performance. Additionally, we identify and implement test protocols to demonstrate reliability, availability, and maintainability for the new system (see details).
  • Performance, reliability, availability, and maintainability data collection, processing, visualisation, and benchmarking: ReliaOpt has experience in collecting, analysing, and building visualisations for performance, reliability, availability, and maintainability data. Our experience is enhanced by the practical knowledge of the data collection process following the standard ISO-14224 and the OREDA data collection guidelines. We collect relevant information about the circumstances of the application of each asset (i.e. age, supplier, environment, duty cycle, maintenance regime) to help you understand its impact on the observed performance of assets. This information becomes available to your team as input for the development of meaningful asset management strategies to support performance improvement of your systems. Also, this data can be used for the development of new projects, supplier selection, and internal or external performance benchmarking (see details).
  • Systems/assets criticality assessment: We at ReliaOpt can support you in assessing the criticality of new and existing assets to build the foundations of your asset management programme. We have deployed our methodology (based on the NORSOK Z-008) across 15 downstream sites, covering more than 1,000,000 assets. The outputs allowed the client to better prioritise preventative and corrective maintenance actions and to identify business-critical functions requiring renewals or upgrades (see details).
  • Access and maintenance assessment and optimisation: We at ReliaOpt have our in-house scheduling model that is used to predict the performance and optimise the organisation of your preventative maintenance plans, and teams, considering the geographical location of tasks and the available access times. The tool allows the identification of bottlenecks and constraints to improve maintenance performance and efficiency. It provides predictions on the impact of proposed solutions in terms of preventative maintenance compliance, backlog management, overtime, and access overrun (see details).
  • Spare part analysis and optimisation: At ReliaOpt we have developed an in-house Monte Carlo simulation tool for the optimisation of spare parts. The tool calculates the whole life costing of various options, considering the business benefits (reduction of business interruption costs) and costs associated (i.e. capital costs, spare handling, obsolescence, and degradation), identifying the right quantity required for each item minimising the overall business costs. The solution takes into account the demand rate of each component and factors associated with the system where the item is deployed (i.e., redundancy and availability), as well as the capacity or not of in-house repair after replacement (see details).
  • Axle counter design optimisation: The deployment of double-headed axle counters can significantly reduce the impact of signalling failures in complex areas as junctions and station approaches. However, its application is normally defined based on the designer’s engineering judgment. At ReliaOpt we have developed an in-house tool to assess the impact of the deployment of double-headed axle counters in each location. This solution has been combined with an optimisation algorithm to assess the combined benefits in a complex network, quantifying the gains in terms of train movement performance and minimising the quantities of double-headed devices to be deployed (see details).
  • Optimisation of testing strategies for low-demand Safety Instrumented Systems: We at ReliaOpt have the methodology and tools to assess and optimise the testing strategies for low-demand Safety Instrumented Systems (SIS). The methodology combines stochastic models to calculate the Probability of Failure on Demand (PFD) and Spurious Trip Rate (STR) with Genetic Algorithms (GA) and Whole Life Costing (WLC). Our tool can assess Safety Instrumented Systems (SISs) with various Safety Instrumented Functions (SIFs), taking into account the specified Safety Integrity Levels (SILs), the system architecture and voting logic, the failure rate of each component, and the ability of the final elements to perform Partial Stroke Tests (PSTs). The costs associated with the execution of tests and business interruption (due to a spurious activation or downtime for a full test) are considered to produce a set of possible testing strategies that minimise the cost and at the same time allow the required SIL levels to be achieved (see details).
  • Training and development of reliability engineering skills: We deliver customised training to support the development of your team capabilities. From RAM data collection and analysis, to specific RAM analysis techniques for Railways, Oil and Gas, or Process industry, we can help your team to grow and succeed. (Please contact us to discuss the training solution that best fit to your needs).
  • Development of customised methodologies and computational packages: ReliaOpt is proud to develop specific and customised tools and methodologies to address specific problems for clients. Using a large set of optimisation algorithms, we can optimise transportation, production, or combinatorial problems, finding the best combination of variables that maximise results and reduce risks. The solutions can combine optimisation techniques with reliability, availability, and maintainability methods, delivering computational packages that are accessible to your team, so you can run it again when your parameters change. (Please contact us to discuss the solution to your problem).