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 of asset reliability and maintenance policies.
- Analyze the production impact of supply and demand variations.
- Identify performance gaps for improvement.
- Justify and track 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?
AeROS software offers not only standard Reliability Block Diagram constructs, such as Series/Parallel, Sub-diagram, and K-out-of-N, but also advanced logical constructs and specialized features to enable more realistic simulations.
- Supports both Repairable (equipment-level) and Non-repairable (component-level) life models.
- Supports Life-Stress Models Life-Stress Models using cumulative damage theory to analyze the impact of production rate variations on equipment life.
- Includes a Redundant Resource Manager to manage complex standby scenarios.
- Provides a Storage construct for buffering and timing functions, along with user-defined storage events (Full, Empty, High, High-High, Low, and Low-Low) to control equipment operating status.
- Features a Tristate plot to enhance operating profile visualizations, showing an item's operating state — running, standby, or down — as well as its production rate profile.
- Offers plots for System Availability Profile, System Flowrate Profile and Spare Availability Profile.
- Provides Reliability Improvement Allocation tool.
- Includes a Spare Restock Optimizations batch calculator.
- Supports Time-To-First-Failure analysis.
- Provides Crews and Spares maintenance resource settings to account for additional constraints, enabling more realistic scenarios.
- Supports flow rate (Production rate) variation profile with the Flowrate Profile construct.
- Allows User-defined CDF (cumulative density functions) to model statistically random events.
- Provides Startup construct to simulate equipment restart delays due to hidden failure components.
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.
