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Suggested Citation:"Index." National Research Council. 2002. Reliability Issues for DOD Systems: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/10561.
×

Index

A

Army Materiel System Analysis Activity (AMSAA), 11-12, 24

Automatic Efficient Test Generator, 50

Availability, 26, 62

B

“Bad actors,”4, 8, 72

Bayesian statistics and analysis, 15, 18, 29, 34, 35-36, 39-41, 46-47, 62-63, 69, 75, 76

Beckett, Allen, 68, 86

Birnbaum-Saunders model, 36, 56-57

Blischke, Wallace, 62-63, 68-69, 86

Booker, Jane, 13, 27-29, 84

C

Camm, Frank, 65-69, 72, 86

Composite materials, 57

Crouch, James, 24, 85

Crow, Larry, 11-12, 13, 30-33, 47, 84

D

Dalal, Siddhartha, 36, 48-53, 55, 86

Data archive, 19-21, 23, 27

Databases

archival data, 19-21, 23, 27

field performance data, 21, 23

Developmental testing, 4-5, 22, 23, 26, 30-33, 37, 43-44, 61

archival data, 20

operational information combined with, 2, 3-5(passim), 7-8, 26, 33-34, 37-41, 45-47, 74-75

Differential equations, 15

Duane model, 11-12

E

Easterling, Robert, 68, 74, 86

Ellner, Paul, 23-24, 84

Estimation techniques, general, 3, 10, 13, 37-40, 46, 47, 71, 73, 78

Bayesian statistics and analysis, 15, 18, 29, 34, 35-36, 39-41, 46-47, 62-63, 69, 75, 76

Suggested Citation:"Index." National Research Council. 2002. Reliability Issues for DOD Systems: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/10561.
×

nonparametric methods, 5, 6, 15, 36, 41-47, 71

stochastic processes, 43, 44, 56-58

Experimental design, 1, 9, 35-36, 38

F

Failure modeling, 8-9

see also Fatigue modeling

“bad actors,”4, 8

components, 4, 8, 16, 17, 18, 20, 21, 22, 25

Integrated Reliability Growth Strategy, 30-31

PREDICT, 28-29, 65

historical perspectives, 11-12

physics of failure, 4, 8-9, 22, 58, 70, 71-73

reliability growth modeling, 11-34 (passim)

reliability modeling, other, 4, 8, 40, 42-46(passim), 57-60

Failure Reporting, Analysis, and Corrective Action System, 31

Fault trees, 29, 31, 62

Fatigue modeling, 2, 4, 5, 8

reliability growth models, 25

reliability modeling, other, 2, 5, 8, 35, 36, 56-60, 71, 72

Feedback loops, 4, 25

Ferguson, Jack, 55, 75, 86

Field performance data, 2, 4, 5, 13, 20-23, 24, 25, 26, 33, 37

data archive, 20

data bases, 21, 23

cost-effectiveness, 20, 21, 22, 26

training exercises, data from, 37, 38-39

Fries, Arthur, 32-33, 84

G

Gaussian distribution, 56-57

Gaver, Donald, 12-13, 16-18, 23, 24, 84

General Dynamics Advanced Technology, 30

Goodness of fit, 14, 42

H

Handbooks, 3, 6, 9, 10, 71

RAM Primer, 3, 5-6, 8, 9, 75-77

Hollis, Walter, 32, 84

Huller, Jerry, 50

I

Integrated Reliability Growth Strategy, 8, 30-32, 72

Internet, RAM Primer, 5

K

Kaplan-Meier estimates, 15

L

Learning curves, 14

Life-cycle factors, 6, 25, 32, 56

costs, 2, 4, 26, 63-69

warranty costs, 20, 21, 22, 23, 25, 61, 62, 63-64, 65, 67-68

Linear models, 11, 14, 55, 59, 74

Bayesian, 40, 41

Los Alamos National Laboratory, 28, 29

M

Maintainability, 4, 26

Maintenance, 12, 25

alternative models, 6-7

Management factors, 4, 9, 75, 78

Markov chain techniques, 48, 53-54

Material fatigue, see Failure modeling;

Fatigue modeling

Meeker, William, 13, 19-23, 24, 72, 85

Suggested Citation:"Index." National Research Council. 2002. Reliability Issues for DOD Systems: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/10561.
×

Modeling and simulation, general, 1, 2, 3, 4, 9

see also Reliability;

Reliability growth modeling

goodness of fit, 14, 42

reliability growth, 2, 3, 5

Multivariate distributions, 73, 74

Myers, Fred, 45-46, 85

N

National Missile Defense System, 32

Nicholas, Theodore, 59, 85

Nonparametric methods, 5, 6, 15, 36, 41-47, 71

O

Olwell, David, 75

Operational testing and evaluation, 4-5, 6, 27, 77-78

archival data, 20

developmental test information combined with, 2, 3-5 (passim), 7-8, 26, 33-34, 37-41, 45-47, 74-75

P

Padgett, Joe, 36, 57-60, 85

Pareto charts, 24-25

Patriot Missile System, 32

Performance and Reliability Evaluation with Diverse Information Combination and Tracking (PREDICT), 28-29, 32-33, 65, 72

Poore, Jesse, 36, 53-55, 86

Physics-of-failure modeling, 4, 8-9, 22, 58, 70, 71-73, 75-76

Integrated Reliability Growth Strategy, 8, 30-32, 72

Poisson processes, 18

Pollock, Steve, 74-75, 86

Power law process model, 14-15

R

RAM Primer, 3, 5-6, 75-77

physics-of-failure modeling, 8, 75-76

Regression analysis, 11, 19, 55

Reliability, v, 2-4, 6-7, 8, 35-69

estimation and testing, 3

failure modeling, 4, 8, 40, 42-46 (passim), 57-60

field performance data, 2

operational testing and evaluation, 1, 2, 7-8, 35-36, 37-41, 45-47, 53, 69

software development and testing, 35, 36, 47-55, 73-74

Reliability growth modeling, 2, 3, 5, 7, 9, 10-34, 76-77

cost factors, 16-17, 20-22 (passim), 26, 33

expert judgment, 10, 14, 18, 26, 27, 34

historical perspectives, 10-12, 13, 25-26

operational testing and evaluation, 1, 2, 7-8, 14, 17, 22, 23, 24, 25-26, 27, 33, 37

software development and testing, 5, 18-19, 50, 55, 71, 73

Risk analysis, 45, 61

Bayesian, 15, 18, 29, 34, 35-36, 39-41, 46-47, 62-63, 69, 75, 76

S

Samaniego, Francisco, viii, 36, 38, 40, 41-47, 75, 83, 84-85, 86

Saunders, Sam, 36, 56-57, 59-60, 85

Scholz, Fritz, 13, 18-19, 24, 85

Seglie, Ernest, 46-47, 77-78, 85, 86

Sen, Ananda, 12, 13-16, 23, 24, 84

Suggested Citation:"Index." National Research Council. 2002. Reliability Issues for DOD Systems: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/10561.
×

Sensor technology, field performance data via, 23

Software development and testing, 5, 71

cost factors, 50, 55, 73

Statistics, Testing and Defense Acquisition: New Approaches and Methodical Improvements,v

Steffey, Duane, 36, 38-41, 45-47, 84

Step-intensity model, 15

Stochastic processes, 43, 44, 56-58

Streilein, Jim, 47

Surveillance testing, 68-69

Survival analysis, 15

Systems development, 12, 25-26, 27-28, 33-34, 37, 77

T

Test, analyze, and fix episodes, 13, 14-15

Test and Evaluation of System Reliability, Availability and Maintainability: A Primer, see RAM Primer

Theater High-altitude Air Defense System, 32

Tortorella, Michael, 61, 86

Training exercises, data from, 37, 38-39

U

Uncertainty analysis, 5, 6, 28, 41, 62, 64, 70, 78

W

Warranty costs, 20, 21, 22, 23, 25, 61, 62, 63-64, 65, 67-68

Weibull model, 12, 42

Willard, Dan, 25

Williams, Marion, 74-75, 86

World Wide Web, see Internet

Suggested Citation:"Index." National Research Council. 2002. Reliability Issues for DOD Systems: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/10561.
×
Page 91
Suggested Citation:"Index." National Research Council. 2002. Reliability Issues for DOD Systems: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/10561.
×
Page 92
Suggested Citation:"Index." National Research Council. 2002. Reliability Issues for DOD Systems: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/10561.
×
Page 93
Suggested Citation:"Index." National Research Council. 2002. Reliability Issues for DOD Systems: Report of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/10561.
×
Page 94
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The final report of the National Research Council's (NRC) Panel on Statistical Methods for Testing and Evaluating Defense Systems (National Research Council, 1998) was intended to provide broad advice to the U.S. Department of Defense (DoD) on current statistical methods and principles that could be applied to the developmental and operational testing and evaluation of defense systems. To that end, the report contained chapters on the use of testing as a tool of system development; current methods of experimental design; evaluation methods; methods for testing and assessing reliability, availability, and maintainability; software development and testing; and validation of modeling and simulation for use in operational test and evaluation. While the examination of such a wide variety of topics was useful in helping DoD understand the breadth of problems for which statistical methods could be applied and providing direction as to how the methods currently used could be improved, there was, quite naturally, a lack of detail in each area.

To address the need for further detail, two DoD agencies-the Office of the Director of Operational Test and Evaluation and the Office of the Under Secretary of Defense for Acquisition, Technology, and Logistics-asked the NRC's Committee on National Statistics to initiate a series of workshops on statistical issues relevant to defense acquisition. The aim of each workshop is to inform DoD about the methods that represent the statistical state of the art and, through interactions of the statistical and defense communities, explore their relevance for DoD application.

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