Analyze and predict plant availability, capacity, and reliability
AvSim+ module is used to analyze your system using an efficient Monte Carlo simulation process to provide availability, capacity and reliability parameters, life cycle costs, importance rankings etc. The tool helps you optimize spare holdings and planned maintenance intervals.
AvSim+ provides a realistic prediction of plan performance given your assets, operational context, maintenance strategies and resource logistics. AvSim+ can account for duty and standby relationships, surge and buffer capability, asset aging, multiple levels of redundancy, and complex materials logistic supply arrangements.
AvSim+ is built upon the accepted Reliability Block Diagram (RBD) logic and extends it to account for capacity and complex consequence assignments. All AvSim+ information and data may be reported in standard (or custom) graphs and text reports or exported to your database or Microsoft applications.
The proven Monte Carlo simulation process powers the AvSim+ module to analyze complex and dependent systems and enable the optimization of your reliability, system performance, and maintenance strategy. Model any size fleet or asset including the reliability and maintenance characteristics and forecast sustainable production levels, cost to maintain, and cost of lost production due to downtime.
Reliability Block Diagram or Fault Tree
Create a Reliability Block Diagram (RBD) or Fault Tree to represent the system logic to model all the variables throughout the project process and validate the capacity, identify bottlenecks and critical areas.
High Level System Model
The simulator enables AvSim+ to model complex redundancies, common failures, aging and component dependencies which cannot be modeled using standard analytical techniques. The model can be constructed for any level of detail and also built up over the life of a project or as data becomes available.
Analyze historical data using Weibull Analysis to characterize failure and repair data from your ERP/CMMS. Use simulation to model system performance and optimize spare holdings. Simulate the effects of design and operational changes. Results include plant capacity, availability, and costs.