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Analyzes availability, life cycle cost, and resource scheduling using 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. An integrated approach characterizes system performance in terms of both state availability and equivalent availability. It can determine the probability of exceeding a capacity state to assess reliability and loss of load probability and evaluate the effect of resource constraints on system availability and life cycle cost. 

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Analytical program to assess reliability of repairable and non-repairable programs in the steady- state. 

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Assess the reliability of repairable and non-repairable programs in the steady state.

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Helps estimate the reliability of complex, redundant, fault-tolerant systems. Capable of modeling very large systems that incorporate some form of system management strategy which controls hardware/software resources in presence of multiple faults/errors of various types. System architectural characteristics that are modeled include temporal and spatial redundancy to gain fault tolerance. Computes system failure due to hardware exhaustion and lack of system coverage imperfect fault-handling. 

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The CARE® RBD module is the ultimate tool for the project management and system engineering personnel for reliability Allocation and reliability Calculation. The RBD tool provides six basic model types that provide engineering personnel with capability to model the functionality of ANY complex system (electronic, mechanical and software).

RBD Basic includes the following item types: Simple, Serial - The block fails when a sub block fails, Parallel - The block fails when all sub blocks fail. All sub blocks operate simultaneously until failure, K out of N - The block fails, when any K sub blocks fail from N, Stand By - The block fails when all sub blocks fail. Only one sub block operates each moment. The rest are spares or in failure.

The software provides the following results:  MTBF\FPMH, Reliability, Availability, Down Time (Hrs),  MTTR (Min).

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The CARE® RBD module is the ultimate tool for the project management and system engineering personnel for reliability Allocation and reliability Calculation.

The Network Reliability Analyzer helps systems and networks designers to evaluate the Reliability, Availability, and Down Time of the Network, from the concept design to the completion of the full scale development.

The entire network fails only if there are no valid (operational) paths from the Input to the Output. Any network configuration may be build where every sub-block (connection) can be composed from any of the Basic and Markov models. If the network may be split to some sub networks with a  few connections between them, each sub block can be replaced by "multipin" block, simplifying the common solution. Each sub-block can also be composed from any of the Basic and Markov models.

The software provides the following results:  MTBF\FPMH, Reliability, Availability, Down Time (Hrs),  MTTR (Min).

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This program is an interactive Markov, Semi-Markov, and nonlinear Markov analysis with adaptive Runge-Kutta and backwards-difference solutions modeling tool designed for reliability, availability, and maintainability analysis of redundant systems. Models are constructed through a graphical state diagram, transition matrix, or expert system and all simulation results are displayed graphically. The program comes complete with a 250 page book called "Markov Modeling for Reliability Analysis". 

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A software tool for the analysis of reliability, redundancy, and cost of alternative choices of a subsystem which is part of a larger system. The five calculation models supplied with CARRAC provide the ability to simulate straightforward reliability and redundancy situations, the effects of partial failure, and those which bring in the time domain by considering failure rate and which investigate cases with and without salvage value. A number of the models analyze the cost effects of catastrophic failure. 

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A software reliability measurement tool incorporating the mathematical modeling capabilities of the public domain tool SMERFS (Statistical Modeling and Estimation of Reliability Functions for Software). Users select a set of failure data, execute a model, and analyze model results. Input to the models is simultaneously displayed as text and as a high-resolution display that can be controlled to let users view the data in several different ways. Model predictions and statistical evaluations of a model's applicability may be superimposed on the plot of the data used as input to the model. 

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An interactive, menu-driven reliability, availability, and maintainability simulation program. Given a Reliability Block Diagram representation of a system, the program simulates the behavior of a system over a specified period of time using Monte Carlo methods to generate block failure and repair times as a function of exponential and/or Weibull distributions. 

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Monte Carlo simulator used to evaluate reliability figures of merit for complex reconfigurable fault tolerant systems. Accounts for effects of active and standby redundancy. Calculates MTBF, MTTR, MTBCF. FASTER is designed to be flexible and allows for the modeling and evaluation of a wide range of fault tolerant system types and considerations. FASTER also calculates reliability and availability figures. 

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Provides computer-aided reliability modeling. Includes six reliability modeling tools developed by RADC and others, including: R&MA2T2, RADC-REST and FASTER. 

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This package determines the optimum number of redundant components in a system based upon the requirements and constraints selected by the user. These inputs are described in a subroutine format and are compiled with Microsoft FORTRAN version 3.2 or higher. HEUR1 can handle up to 500 functions and up to 500 variables while HEUR2 can handle up to 100 of each. 

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A RAMCAD integrated tool for reliability accounting, engineering tasks, safety analysis, BIT effectiveness, testability, configuration management, and others. Total package consists of five sub-modules and each sub-module also includes other modules. Comprehensive equipment coverage: mechanical, electrical, and other complex systems including fault tolerant systems.

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The Meridium Enterprise Reliability Management System (ERMS) offers clients an industrial strength, enterprise wide tool setthat analyzes plant maintenance data to achieve maximum equipment reliability and dependability.  Meridium client companiesinclude refining and chemical processing sites as well as electric power utility companies and discrete manufacturing.  Meridumreliability analysis tools are supported by a powerful enterprise wide database with links into other plant systems such as: enterprise resource planning systems (ERP), computerized maintenance management systems (CMMS) and plant

distributed control systems (DCS).  This ability to store vast amounts of plant process, engineering and maintenance data in a

single integrated information system provides the perfect computing environment for extensive reliability analysis.  Weibull,

Normal and Log Normal distributions are available as well as Growth Modeling. Statistical Process Control (SPC) functions

provide an integrated production quality management system.  All of these features are fully integrated and provide seamless

solutions that offer a high level of automation. 

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Program computes reliability as a function of process variables in manufacturing and deployment. Uses functional and hardware definitions to describe the health and weakness of components designed for extended life. 

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Complex Block Diagram Analysis uses rates, support spares, logistic times, and other variables to perform Monte Carlo or Steady State Availability Analysis. 

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A user-friendly software tool for carrying out analysis of the reliability and availability of safety systems, e.g. computer-based process safety systems. The tool is an ideal companion for the international standard IEC 61508: Functional Safety of E/E/PE Safety Related Systems, for performing reliability analysis of safety functions. Further, in the Norwegian NORSOK standard for safety and automation systems, the PDS calculation method is referred to as recommended for verification of safety systems

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Models phased functional or hardware reliability. Permits dormancy, shared load, standby, fully active, and overload phases in any mission description. Can includes phased maintenance effects for up to 99 phases including dormant phases. 

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This package consists of 15 programs designed for quality assurance, reliability, maintainability, and statistics. The individual programs perform: availability of system, binomial distributions, test of difference between two proportions, F-distributions, system MTBF and weighted MTTR, maintainability of a system, normal distributions, permutations and combinations, confidence intervals, poisson distribution, RMA of a system, R&M of system, sequential test of proportions, and yield data. 

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Automated implementation of the reliability, maintainability and availability models presented in RADC's-TR-77-278, "Redundancy Notebook". Inputs include description of system block diagrams and the failure and repair rate of each unique module making up the system. Outputs include block and system operational state, failure rate, availability, and steady state failure rate, MTBF, mean repair rate, and mean-time-to-first-failure. 

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An expert system for tailoring MIL-STD-785, "Reliability Program Plan, MIL-STD-470, "Maintainability Program Plan", and MIL-STD-1388A, "Logistics Support Analysis" to specific systems. Takes into account the information pertinent to system requirements, maintenance concepts, mission needs, acquisition phases, funding levels, use of environment, etc. 

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Integrated, modular system provides tree structure, RAM prediction calculation, RAM data management, sensitivity analysis, RAM block diagram drawing and evaluation, report generation at all levels, extensive options include: spares quantity estimates, user defined failure rate libraries, system RAM analysis according to multiple mission profiles, environments, temperature, phase time, including operational and non operational times. Reliability growth models and Monte Carlo simulation. 

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Windows-based Monte-Carlo simulation comprehensive RAM analysis of systems using on-screen creation of reliability block diagrams. Effects of queuing for repair and stock-out are also analyzed. Output includes MTBF, MTTR, Availability, Reliability, Repair queue analysis. Features include: active and standby redundancy, simple or complex buffering, modelling of dicrete or continuous events, queuing for repair, limited availability of spares plus allowance for logistics delay, capable of utilizing various failure and repair distributions including Exponential, Weibull, Lognormal and user-defined. NB demo version available on request to Leo.Bjorkegren@fluordaniel.com. 

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Capability to perform reliability and maintainability predictions and fault tolerant system reliability analyses from a common front end. RAMP combines three existing RADC programs: ORACLE, TIME, and R&MA2T2. Allows predicted failure rates from ORACLE to be automatically utilized in TIME as input for repair prediction. R&MA2T2 will then automatically use failure and repair rates obtained from ORACLE and TIME as input to conduct fault tolerant system reliability analyses. 

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This package satisfies the required tasks 201, 203 and 204 of MIL-STD-785 and the tasks 203 and "Testability" required by MIL-STD-470. Performs reliability predictions, maintainability predictions, FMEA's, FMECA's, testability analyses, and reliability modeling. 

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A program for building and evaluating reliability block diagrams. Includes a logical and graphical editor for building reliability block diagrams, up to 300 blocks, nested reliability block diagrams and fault trees, advanced results editor, and MTBF calculation. Complex branching between blocks supported, M-out-of-N and switch logic supported, centralized reliability and economic database support, model evaluation function which lists contributors and their unavailabilities. 

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Predicts failure rates for components, assemblies, and systems and allows for sensitivity tests. Capable of interfacing with CAD/CAE systems. Implementation of MIL-HDBK-217. Program has provisions for input error checking and defaults for part types. Also, permits inclusion of user-specified modeling factors e.g., duty cycle and redundancies. Accommodates temperature differentials and environmental changes at any configuration level. 

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Determines the reliability or availability of any system which can be modeled as embedded k-out- of-n groups of components and/or subgroups. Can access current system performance during the later testing phases of a system design. Can model candidate designs/architect. or validate and form predictions during the early phases of design. Inputs include description of system and one of the following: availability of items, MTBF & MTTR for the items, MTBF & mission lengths, or failure rates and mission lengths. 

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Relex RBD is a powerful graphical Reliability Block Diagram evaluator. You have the ability to model everything from small series subsystems to large systems with complex redundancy schemes. Supported are various failure and repair distributions such as exponential, normal, Weibull, lognormal, and Rayleigh. Relex RBD's powerful built-in Monte Carlo simulation engine provides fast, accurate calculations of reliability, availability, failure rate, and MTBF. Relex RBD also provides an automatic link to the other members of the Relex family of products. Relex is the industry leading R&M software package and incorporates MIL-HDBK-217, Bellcore, and Mechanical Reliability Predictions, graphical Reliability Block Diagrams, FMEAs, FMECAs, Maintainability Predictions, RCM and Life Cycle Cost analyses, and Fault Tree analyses in one completely integrated tool.

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This program performs automated mathematical modeling in accordance with MIL-STD-785B, Task 201, and MIL-STD-756B, Task 102. 

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Monte Carlo simulation used to evaluate reliability figures of merit for fault tolerant systems. Given a fault tolerant system configuration component MTBF's and repair rates, the program calculates the system MTBCF, MTTR, reliability and availability. REST also synthesizes reliability demonstration plans for fault tolerant systems. Can be used to model systems with full, standby, or partial standby redundancy. 

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RAILS is simulation tool for reliability, availability, and logistics support modeling of systems. Systems can be hardware, software, mechanical elements, humans, or combinations of all these. RAILS allows you to describe complex systems easily using its modeling language. The efficient simulation of RAILS gives you detailed reports on the reliability and availability behavior of the system you are modeling.

•Hard/Software Req.: IBM PC/compatible, 640K RAM, 2MB disk •Interface Capabilities: Spreadsheet report export •Supplier: Cactus Brand Software, Inc., 7307 Wickford Drive, Alexandria, VA 22312; fax: (+1) 301-972-5365; e-mail: info@cactusbrand.com •Demo Avail. & Price: Free Demo and Online User's Guide

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Provides the capability to perform analysis of systems modules arranged in series and/or parallel. The system can be graphically specified by the user in terms of module blocks, switches, and connections. GUI technology is used to facilitate user inputs. 

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Integrated, modular system provides product tree structure, RAM prediction calculation, RAM data management, sensitivity analysis, RAM block diagram drawing & evaluation, report generation at all levels, extensive options include: spares quantity estimates, user defined failure rate libraries, system RAM analysis according to multiple mission profiles, environments, temp., phase time, including operational and non-operational times. Program also analyzes reliability growth models and Monte Carlo simulation. 

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Predicts failure rates, mean time to first failure, reliability and availability in accordance with models defined in MIL-STD-756, MIL-HDBK-338 and Rome Air Development Center document RADC-TR-77-287. Performs reliability analysis of complex redundant system in different mission phases. Program can construct reliability block diagrams with a virtually unlimited number of blocks arranged in any order. Serial and redundant logic can be nested with other diagrams. 

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This automated system uses Monte Carlo simulation techniques to calculate estimates of the reliability of systems consisting of a series of stages. The stages may be comprised of items of equal or unequal reliability values operating in active, partial, or standby modes. The failure rate is assumed to be constant and exponential. Only series systems may be applied. 

Simulation of failures and the possible subsequent repairs of each hardware unit included in the system. Analyzes the effects of failures and repairs on the system and maintains statistics of the system behavior. Simulation can be repeated a specified number of times for each one of the seeds supplied to the random number generator, or can be timed. At the end of a simulation, the program computes the average statistics. 

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Availability modeling package. Performs basic availability analysis. 

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Quick and easy on-screen entry of Reliability Block Diagrams (RBDs) and the associated block data. Simulation approach allows spares dependencies, wear-out effects and costs to be modeled. 

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The CARE® RBD module is the ultimate tool for the project management and system engineering personnel for reliability Allocation and reliability Calculation. The RBD tool provides six basic model types that provide engineering personnel with capability to model the functionality of ANY complex system (electronic, mechanical and software).

RBD Basic includes the following item types: Simple, Serial - The block fails when a sub block fails, Parallel - The block fails when all sub blocks fail. All sub blocks operate simultaneously until failure, K out of N - The block fails, when any K sub blocks fail from N, Stand By - The block fails when all sub blocks fail. Only one sub block operates each moment. The rest are spares or in failure.

The software provides the following results:  MTBF\FPMH, Reliability, Availability, Down Time (Hrs),  MTTR (Min).

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The CARE® RBD module is the ultimate tool for the project management and system engineering personnel for reliability Allocation and reliability Calculation.

The Network Reliability Analyzer helps systems and networks designers to evaluate the Reliability, Availability, and Down Time of the Network, from the concept design to the completion of the full scale development.

The entire network fails only if there are no valid (operational) paths from the Input to the Output. Any network configuration may be build where every sub-block (connection) can be composed from any of the Basic and Markov models. If the network may be split to some sub networks with a  few connections between them, each sub block can be replaced by "multipin" block, simplifying the common solution. Each sub-block can also be composed from any of the Basic and Markov models.

The software provides the following results:  MTBF\FPMH, Reliability, Availability, Down Time (Hrs),  MTTR (Min).

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An interactive, menu-driven reliability, availability, and maintainability simulation program. Given a Reliability Block Diagram representation of a system, the program simulates the behavior of a system over a specified period of time using Monte Carlo methods to generate block failure and repair times as a function of exponential and/or Weibull distributions. 

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Evaluates periodic testing schemes and operational and design modifications and their effects on system unavailabilities and accident probabilities. The instantaneous and average unavailability for any general system model is calculated as well as the breakdown of the unavailability contributions from failures, testing, and repair. The output is a series of tables and plots of the system unavailability contributions. Sensitivity analysis can be performed. 

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Calculates the average unavailability, fractional unavailability due to testing, and optimal test interval, and repair and random failures for periodically tested, standby, redundant systems with three different testing strategies. Uniformly staggered, random, and nearly simultaneous test strategies are used. Only one component per redundancy is assumed. Source code is in FORTRAN IV. Inputs include component MTBF and system diagram. 

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Modeling system availability using block diagrams and Markov analysis. Provides a method for studying the influence of alternative failure rates and repair rates, and logistics support on system availability. Outputs include steady state or point in time calculations, double precision calculations, output data extraction and report generation. Allows modeling of dependent failure rates and repair times, sensitivity analysis of component failure rates and repair times. 

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A user-friendly software tool for carrying out analysis of the reliability and availability of safety systems, e.g. computer-based process safety systems. The tool is an ideal companion for the international standard IEC 61508: Functional Safety of E/E/PE Safety Related Systems, for performing reliability analysis of safety functions. Further, in the Norwegian NORSOK standard for safety and automation systems, the PDS calculation method is referred to as recommended for verification of safety systems

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Monte Carlo deployment simulation uses time domain methods. Distributions used as available for confidence, importance, coverage, etc. Permits load sharing, sequenced events, priority events, etc. 

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Automated implementation of many of the reliability, maintainability and availability models presented in RADC's-TR-77-278, "Redundancy Notebook". Inputs include description of block diagram of elec. system and the failure and repair rate of each unique module making up the system. Outputs include block and system operational state, failure rate, availability, and steady state failure rate, MTBF, mean repair rate, and mean-time-to-first-failure (MTTF). 

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An availability simulation program, primarily used for plant and process modeling. Optimizes performance by minimizing down-time and optimizing maintenance schedules. Features include: Element capacity or throughput, standard or user-defined failure and repair distributions for each element, active and standby redundancy, common mode failures, spares and replenishment rules. 

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Capability to perform reliability and maintainability predictions and fault tolerant system reliability analyses from a common front end. RAMP combines three existing RADC programs: ORACLE, TIME, and R&MA2T2. Allows predicted failure rates from ORACLE to be automatically utilized in TIME as input for repair prediction. R&MA2T2 will then automatically use failure and repair rates obtained from ORACLE and TIME as input to conduct fault tolerant system reliability analyses. 

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Provides reliability, availability, and maintainability analyses for naval shipboard use. Models probabilistic behavior of a set of equipment as a continuous time, homogeneous, discrete state Markov Process. The statistical probability of the system being in a macro state during a mission is computed. These statistics are translated into a measure of system reliability and availability for each mission phase. 

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Determines the reliability or availability of any system which can be modeled as embedded k-out- of-n groups of components and/or subgroups. Can access current system performance during the later testing phases of a system design. Can model candidate designs/architect. or validate and form predictions during the early phases of design. Inputs include description of system and one of the following: availability of items, MTBF & MTTR for the items, MTBF & mission lengths, or failure rates and mission lengths. 

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RAILS is simulation tool for reliability, availability, and logistics support modeling of systems. Systems can be hardware, software, mechanical elements, humans, or combinations of all these. RAILS allows you to describe complex systems easily using its modeling language. The efficient simulation of RAILS gives you detailed reports on the reliability and availability behavior of the system you are modeling.

•Hard/Software Req.: IBM PC/compatible, 640K RAM, 2MB disk •Interface Capabilities: Spreadsheet report export •Supplier: Cactus Brand Software, Inc., 7307 Wickford Drive, Alexandria, VA 22312; fax: (+1) 301-972-5365; e-mail: info@cactusbrand.com •Demo Avail. & Price: Free Demo and Online User's Guide

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Relex RBD is a powerful graphical Reliability Block Diagram evaluator. You have the ability to model everything from small series subsystems to large systems with complex redundancy schemes. Supported are various failure and repair distributions such as exponential, normal, Weibull, lognormal, and Rayleigh. Relex RBD's powerful built-in Monte Carlo simulation engine provides fast, accurate calculations of reliability, availability, failure rate, and MTBF. Relex RBD also provides an automatic link to the other members of the Relex family of products. Relex is the industry leading R&M software package and incorporates MIL-HDBK-217, Bellcore, and Mechanical Reliability Predictions, graphical Reliability Block Diagrams, FMEAs, FMECAs, Maintainability Predictions, RCM and Life Cycle Cost analyses, and Fault Tree analyses in one completely integrated tool. 

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An aid in the evaluation of a complex system in terms of reliability, readiness, and availability. The system under study can range in complexity from a single piece of equipment, such as a radar or sonar unit, to a complete functional system, such as a ship or an airplane. Monte Carlo simulation techniques are used to provide the analyst with a generalized capability for determining system reliability, readiness, and availability estimates.

Models highly reliable, non-repairable systems complex, redundant, fault tolerable systems). Accepts fault trees, non-homogeneous Markov chains, and semi-Markov chains as input. Provides numerical values or graphical plots on reliability coverage data. Cannot model repairable behavior. These programs are written in FORTRAN IV. 

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The CARE® RBD module is the ultimate tool for the project management and system engineering personnel for reliability Allocation and reliability Calculation. The RBD tool provides six basic model types that provide engineering personnel with capability to model the functionality of ANY complex system (electronic, mechanical and software).

The Markov model uses states and transitions (State Transition Diagram) of corresponding sub blocks.

The entire Markov block fails only if a predefined failure state, in the State Transition Diagram, is reached as a result of random failures in the sub-blocks.

The software provides the following results:  MTBF\FPMH, Reliability, Availability, Down Time (Hrs),  MTTR (Min).

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This program is an interactive Markov, Semi-Markov, and nonlinear Markov analysis with adaptive Runge-Kutta and backwards-difference solutions modeling tool designed for reliability, availability, and maintainability analysis of redundant systems. Models are constructed through a graphical state diagram, transition matrix, or expert system and all simulation results are displayed graphically. The program comes complete with a 250 page book called "Markov Modeling for Reliability Analysis". 

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This program facilitates the reliability assessment for fault tolerant reconfigurable systems. CARSA utilizes Markov modeling for failure effect coverage. CARSA bypasses disadvantages of Markov modeling (the large number of states required to model a system with many internal consolidation nodes) by partitioning the system so that the Markov model is a lower dimension. 

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General purpose software to build and solve Markov models. 

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Modeling system availability using block diagrams and Markov analysis. Provides a method for studying the influence of alternative failure rates and repair rates, and logistics support on system availability. Outputs include steady state or point in time calculations, double precision calculations, output data extraction and report generation. Allows modeling of dependent failure rates and repair times, sensitivity analysis of component failure rates and repair times. 

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Provides reliability, availability, and maintainability analyses for naval shipboard use. Models probabilistic behavior of a set of equipment as a continuous time, homogeneous, discrete state Markov Process. The statistical probability of the system being in a macro state during a mission is computed. These statistics are translated into a measure of system reliability and availability for each mission phase. 

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An analysis tool for reconfigurable, fault tolerant systems. This program calculates accurate upper and lower limits for the death-states for a large class of semi-Markov models within a specified mission time.