
Computer-Aided Rate Modeling and Simulation (CARMS) is an integrated Markov modeling and simulation tool designed to solve a wide range of time-dependent, prediction-oriented problems. The features include a state diagram-based CAD environment for model setup, a spreadsheet-like interface for data entry, an expert system link for automatic model construction, and an interactive graphics interface for displaying simulation results.
Reliability analysis, operations research, fault-tolerant systems, engineering design, and scientific or statistical modeling using Markov analysis.
By using CARMS for analysis, complex design cycles can be shortened, simplified, and better understood and documented.

In particular, CARMS excels as a general purpose tool suitable for reliability, maintainability, and availability (RMA) prediction. It can be employed to solve a variety of RMA and other mathematically related problems.
A combination of text- and graphics-based data input makes the program ideal for problems in which a product, operations, system, or engineering design is at the conceptual phase. In this phase, flexibility, ease of use, and speed are prime requirements i n determining the ideal course of action and probing the "what if?" scenarios.
Unlike the traditional methods of computer-based prediction, CARMS features an interactive environment that allows the user to quickly change data values and graphical representations of a given system. Menu-driven commands and help screens are also available.
Listed below are several features of CARMS:
CARMS runs on PC-compatible computers under any Windows user environment. The suggested minimum requirements include:
IEEE Press book companion to CARMS:
Chapter Page
1 Introduction 1
2 System Requirements and Design 7
3 Probability Theory 21
4 Basic Reliability Concepts 29
5 Basic Reliability Models 35
6 Markov Process Fundamentals 49
7 Hardware Reliability Modeling 67
8 Software Reliability Modeling 83
9 Hardware-Software Reliability 93
10 Modeling of Complex Systems 97
11 Maintainability Modeling 103
12 Availability Modeling 115
13 Safety Modeling 119
14 Markov Model Evaluation 123
15 Effectiveness Modeling 135
16 Support Analyses 141
17 Application Examples 151
18 CARMS User's Guide 175
19 CARMS Model Library 193
20 CARMS Reference 215
For more information: pukite@daina.com
'Modeling for Reliability Analysis: Markov Modeling for
Reliability, Maintainability, Safety, and Supportability Analyses of
Complex Systems'
ISBN: 0780334825