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Foundation :: Reliability Analysis :: ACARA

ACARA

Availability, Cost and Resource Allocation

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NEW VERSION OF ACARA!
Click here for ACARA II.
ACARA analyzes availability, life cycle cost, and resource scheduling. It uses a statistical Monte Carlo method to simulate a system's capacity states as well as component failure and repair. Component failures are modelled using a combination of exponential and Weibull probability distributions. ACARA schedules component replacement to achieve optimum system performance. The scheduling will comply with user-specified constraints on component production, resupply vehicle capacity, on-site spares, or crew manpower and equipment.

ACARA is capable of many types of analyses and trade studies because of its integrated approach. It characterizes the system performance in terms of both state availability and equivalent availability, which is a weighted average of state availability. It can determine the probability of exceeding a capacity state in order to assess reliability and loss of load probability. It can also evaluate the effect of resource constraints on system availability and life cycle cost.

ACARA interprets the results of a simulation and displays tables and charts for performance. This includes:
  • availability and reliability of capacity states
  • frequency of failure and repair
  • life cycle cost, including hardware, transportation, and maintenance
  • use of available resources, including mass, volume, and maintenance man-hours
ACARA incorporates a user-friendly, menu-driven interface with full screen data entry. It also provides a file management system to store and retrieve input and output data sets for system simulation scenarios.


ACARA carries the NASA case number LEW-15713. It was originally released as part of the COSMIC Collection.

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