It has been recognized that design-for-reliability (DFR) during the conceptual design stage is very challenging. There are several gaps and deficiencies hindering the DFR implementation. The first gap is due to the disconnection between the output of the conceptual design and reliability parameters needed for the reliability modeling. The second gap is between the knowledge available during the conceptual design and the information needed for reliability analysis. The state of the art design-for-reliability research and implementation are primarily based on the traditional reliability stress and strength interference theory. The research to date has mainly focused on the embodiment design-for-reliability, since they take embodiment design data as inputs and derive reliability measures of the product as results. On the other hand, the conceptual design, in general, and functional design in specific are usually nonanalytical and nonquantitative and result in little information immediately useful for a detailed reliability analysis. Our research aims to address these gaps and deficiencies and to build a bridge between the reliability research and the conceptual design research in order to realize conceptual design-for-reliability. In this paper, we first review the state of research and practice in the fields of reliability and conceptual design. Building on the previous research, we extend the traditional reliability stress and strength interference theory and develop a conceptual stress and conceptual strength interference theory (CSCSIT) that parametrizes the conceptual design space by introducing reliability related parameters into functional design. Based on CSCSIT, a practical analysis framework is proposed to support functional design-for-reliability. A functional design example is presented to demonstrate the effectiveness of CSCSIT and the proposed framework.

1.
Nikolaidis
,
E.
,
Ghiocel
,
D. M.
, and
Singhal
,
S.
, 2005,
Engineering Design Reliability Handbook
,
CPC
,
London
.
2.
El-Haik
,
B. S.
, 2005,
Axiomatic Quality—Integrating Axiomatic Design With Six-Sigma, Reliability and Quality Engineering
,
Wiley
,
New York
.
3.
Kececioglu
,
D.
, 2003,
Robust Engineering Design-By-Reliability
,
DEStech
,
Lancaster, PA
.
4.
Kapur
,
C. K.
, and
Lamberson
,
L. R.
, 1983,
Reliability in Engineering Design
,
Marcel Dekker
,
New York
.
5.
Crowe
,
D.
, and
Feinberg
,
A.
, 2001,
Design For Reliability
,
CRC
,
London
.
6.
Ireson
,
G. W.
,
Commbs
,
C. F.
, and
Moss
,
R.
, 1995,
Handbook of Reliability Engineering and Management
,
Wiley
,
New York
.
7.
O’Connor
,
D. T.
, 2002,
Practical Reliability Engineering
,
Wiley
,
New York
.
8.
Department of Defense
, 1980, “
MIL-STD-785 Reliability Program for System and Equipment Development and Production
,” Washington, DC.
9.
Pahl
,
G.
, and
Beitz
,
W.
, 1996,
Engineering Design—A Systematic Approach
,
Springer
,
New York
.
10.
Lloyd
,
K. D.
, and
Lipow
,
M.
, 1984,
Reliability Management, Methods, and Mathematics
,
ASQ
,
Milwaukee, WI
.
11.
Huang
,
Z.
, and
Jin
,
J.
, 2008, “
Conceptual Stress and Conceptual Strength for Functional Design-For-Reliability
,”
Proceedings of the IDETC/CIE
, New York, Paper No. IDETC 2008-49347.
12.
Department of Defense
, 1980, “
MIL-STD-1629A Procedures for Performing a Failure Mode, Effects and Criticality Analysis
,” Washington, DC.
13.
Nelson
,
W.
, 2004,
Applied Life Data Analysis
,
Wiley
,
New York
.
14.
Lawless
,
J. F.
, 2003,
Statistical Models and Methods for Lifetime Data
,
Wiley
,
New York
.
15.
Bain
,
L. J.
, and
Englehardt
,
M.
, 1991,
Statistical Analysis of Reliability and Life-Testing Models
,
Marcel Dekker
,
New York
.
16.
Kumamoto
,
H.
, and
Henley
,
E. J.
, 1996,
Probabilistic Risk Assessment and Management for Engineers and Scientists
,
IEEE
,
New York
.
17.
Bedford
,
T.
, and
Cooke
,
R.
, 2001,
Probabilistic Risk Analysis—Foundation and Methods
,
Cambridge University Press
,
Cambridge, UK
.
18.
Frankel
,
E. G.
, 1984,
Systems Reliability and Risk Analysis
,
Martinius Nijhoft
,
The Hague, The Netherlands
.
19.
Kuo
,
W.
,
Prasad
,
V. R.
,
Tillman
,
F. A.
, and
Hwang
,
C. L.
, 2001,
Optimal Reliability Design
,
Cambridge University Press
,
Cambridge
.
20.
NASA
, 2002, Fault Tree Handbook With Aerospace Applications, Washington, DC.
21.
NASA
, 2002, Probabilistic Risk Assessment Procedures Guide for NASA Managers and Practitioners, Washington, DC.
22.
Xu
,
H.
, and
Dukan
,
J. B.
, 2004, “
Combining Dynamic Fault Trees and Event Trees for Probabilistic Risk Assessment
,”
Proceedings of Annual Reliability and Maintainability Symposium
, pp.
214
219
.
23.
Volovoi
,
V.
, 2006, “
Stochastic Petri Net Modeling Using Aging SPN@
,”
Proceedings of the Annual Reliability and Maintainability Symposium
, Newport Beach, CA, pp.
75
81
.
24.
Suh
,
N. P.
, 1990,
The Principles of Design
,
Oxford University Press
,
Oxford
.
25.
Suh
,
N. P.
, 2001,
Axiomatic Design—Advances and Applications
,
Oxford University Press
,
Oxford
.
26.
Altshuller
,
G.
,
Altov
,
H.
, and
Shulyak
,
L.
, 1994,
And Suddenly the Inventor Appeared, TRIZ, Theory of Inventive Problem Solving
,
Technical Innovation Center
,
Worcester, MA
.
27.
Taguchi
,
G.
, 1986,
Introduction to Quality Engineering
,
American Supplier Institute
,
Dearborn, MI
.
28.
Taguchi
,
G.
, 1993,
Taguchi on Robust Technology Development: Bring Quality Engineering Upstream
,
ASME
,
New York
.
29.
Akiyama
,
K.
, 1989,
Function Analysis
,
Productivity
,
Cambridge, MA
.
30.
Otto
,
K.
, and
Wood
,
K.
, 2001,
Product Design
,
Prentice Hall
,
Upper Saddle River, NJ
.
31.
Stone
,
R. B.
, and
Wood
,
K.
, 2000, “
Development of a Functional Basis for Design
,”
ASME J. Mech. Des.
0161-8458,
122
(
4
), pp.
359
370
.
32.
Hirtz
,
J.
,
Stone
,
R. B.
,
McAdams
,
D. A.
,
Szykman
,
S.
, and
Wood
,
K.
, 2002, “
A Functional Basis for Engineering Design: Reconciling and Evolving Previous Effort
,”
Res. Eng. Des.
0934-9839,
13
, pp.
65
82
.
33.
Huncheson
,
R. S.
,
McAdams
,
D. A.
,
Stone
,
R. B.
, and
Tumer
,
I. Y.
, 2006, “
Function Based Behavioral Modeling
,”
Proceedings of the IDETC/CIE
, Las Vegas, NV, Paper No. DETC2007-35337.
34.
Haugen
,
E. B.
, 1980,
Probabilistic Mechanical Design
,
Wiley
,
New York
.
35.
Augusti
,
G.
,
Baratta
,
A.
, and
Casciati
,
F.
, 1984,
Probabilistic Methods in Structural Engineering
,
Chapman and Hall
,
London
.
36.
Chiralaksanakul
,
A.
, and
Mahadevan
,
S.
, 2005, “
First-Order Approximation Methods in Reliability-Based Design Optimization
,”
ASME J. Mech. Des.
0161-8458,
127
(
5
), pp.
851
857
.
37.
Harry
,
M. J.
, 1994,
The Vision of Six-Sigma: A Roadmap for Breakthrough
,
Sigma
,
Phoenix, AZ
.
38.
Wang
,
K.
, and
Jin
,
Y.
, 2002, “
An Analytical Approach to Functional Design
,”
Proceedings of the IDETC/CIE
, Montreal, Canada, Paper No. DETC2002-34084.
39.
Wang
,
K.
, and
Jin
,
Y.
, 1999, “
Modeling Dependencies in Engineering Design
,”
Proceedings of the IDETC/CIE
, Las Vegas, NV, Paper No. DETC99/DTM-8778.
40.
Wang
,
K.
, and
Jin
,
Y.
, 2000, “
Managing Dependencies for Collaborative Design
,”
Proceedings of the IDETC/CIE
, Baltimore, MD, Paper No. DETC2000/DTM-14552.
41.
Grantham Lough
,
K.
,
Stone
,
R. B.
, and
Tumer
,
I. Y.
, 2006, “
Prescribing and Implementing the Risk in Early Design (RED) Method
,”
Proceedings of the IDETC/CIE
, Philadelphia, PA, Paper No. DETC2006-99374.
42.
Stone
,
R. B.
,
Tumer
,
I. Y.
, and
Wie
,
M. V.
, 2005, “
The Function-Failure Design Method
,”
ASME J. Mech. Des.
0161-8458,
127
(
3
), pp.
397
407
.
43.
Tumer
,
I. Y.
, and
Stone
,
R. B.
, 2003, “
Mapping Function to Failure Mode During Component Development
,”
Res. Eng. Des.
0934-9839,
14
, pp.
25
33
.
44.
Grantham Lough
,
K.
,
Stone
,
R. B.
, and
Tumer
,
R. I.
, 2005, “
Function Based Risk Assessment: Mapping Function to Likelihood
,”
Proceedings of the IDETC/CIE
, Long Beach, CA, Paper No. DETC2005-85053.
45.
Kurtoglu
,
T.
, and
Tumer
,
I. Y.
, 2008, “
A Graph Based Fault Identification and Propagation Framework for Functional Design of Complex System
,”
ASME J. Mech. Des.
0161-8458,
130
(
5
), p.
051401
.
46.
Krus
,
D.
, and
Grantham Lough
,
K.
, 2007, “
Applying Function-Based Failure Propagation In Conceptual Design
,”
Proceedings of the IDETC/CIE
, Las Vegas, NV, Paper No. DETC2007-35475.
47.
Huncheson
,
R. S.
,
McAdams
,
D. A.
,
Stone
,
R. B.
, and
Tumer
,
I. Y.
, 2006, “
A Function-Based Methodology for Analyzing Critical Events
,”
Proceedings of the IDETC/CIE
, Philadelphia, PA, Paper No. DETC 2006-99535.
48.
Disney
,
R. L.
,
Sheth
,
N. J.
, and
Lipson
,
C.
, 1968, “
The Determination of the Probability of Failure by Stress/Strength Interference Theory
,”
Proceedings of the Annual Symposium on Reliability
, pp.
417
422
.
49.
American National Standard Institute
, 2005,
Performance Based Sneak Circuit Analysis Requirements
,
AIAA
,
Reston, VA
.
50.
Decisioneering
, 2000, Crystal Ball User Manual, Denver, Colorado.
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