AeROS™ (Asset Reliability and Operations Simulation)
System requirements: Windows 10 or higher on PC.
How AeROS™ works?
AeROS™ allows user to create a digital representation (Digital Twin) of a production system for prediction analysis using statistical approach.
The Digital Twin is used to predict the likely outcomes in the future, with more focus on production uncertainties. It provides information that relate how the assets' performances and maintenance policies affect productions. This information is a significant KPI indicating the financial health of your production assets.
As the Digital Twin is manipulated at digital level, it allows you to perform virtual trials to achieve the desired production performance. The outcomes stand as a blueprint for Cost-Benefit Analysis, your compass before making impactful investments!
What can AeROS™ do for you?
- Analyze the production impact due to asset reliability and maintenance policy.
- Analyze the production impact due to supply/demand variations.
- Identify performance gaps for improvement.
- Justify and tracking improvement program with statistical evidence.
- Optimize maintenance resource allocation.
- Optimize spare inventory.
- Support Life Cycle Cost Analysis.
- Perform Cost-benefit Analysis.
- Perform Queueing Analysis (Queueing Theory).
- Perform Proof-of-Concept Analysis.
What makes AeROS™ the unparalleled system reliability simulation software?
- Support Repairable (equipment level) and Non-repairable (component level) life models.
- Support Life-Stress Models with cumulative damage theory to analyze the impact on equipment life due to production rate.
- Provide Redundant Resource Manager to manage complex standby scenarios.
- Support Storage construct to provide buffering and timing functions, together with user-defined storage events (Full, Empty, High, High-High, Low and Low-Low) that can be used to control equipment operating status.
- Provide Tristate plot to enhance operating profile visualizations: Item operating state, standby state and downing state, as well as production rate profile.
- Provide plots for System Availability Profile, System Flowrate Profile and Spare Availability Profile.
- Support Time-To-First-Failure analysis.
- Support User-defined CDF to model statistically random events.
- Support Flowrate (Production rate) variation profile.
- Provide Spare restock optimizations batch calculator.
- Provide Reliability Improvement Allocation.
Examples/Case Studies
- Availability as a reliability metric in RAM.
- Equipment Production Loss Contribution.
- RAM Analysis for an Offshore Platform.
- Inventory Management - Spare Restock Triggering Policy.
- Product Field-Returns (Life Data Analysis with Simulation).
- Production impact due to supply variations (Queueing Theory).
- Chemical Process Design - Buffer Sizing.
- Modelling and Analyzing a Renewable Energy System using Simulation Approach.
- A RAM analysis for Consecutive-K-out-of-N data communication system.
