The concept of engineering resilience has received a prevalent attention from academia as well as industry because it contributes a new means of thinking about how to withstand against disruptions and recover properly. Although the concept of resilience was scholarly explored in diverse disciplines, there are only few which focus on how to quantitatively measure the engineering resilience. This paper is dedicated to explore the gap between quantitative and qualitative assessment of engineering resilience in the domain of designing engineered systems in industrial applications. A conceptual framework is first proposed for modeling engineering resilience, and then Bayesian network (BN) is employed as a quantitative tool for the assessment and analysis of the resilience for engineered systems. Two industrial-based case studies, supply chain and production process, are employed to demonstrate the proposed approach. The proposed resilience quantification and analysis approach using BNs would empower system designers to have a better grasp of the weakness and strength of their own systems against system disruptions induced by adverse failure events.

References

References
1.
Malloy
,
D.
,
2003
, “
Modeling the Life Cycle Cost Impact of Product Development Decisions in an Aerospace Supply Chain: A Case Study
,”
21st International Conference of the System Dynamics Society
, pp.
1
13
.
2.
Merriam-Webster.com
,
2014
, “
Resilience
,” http://www.merriam-webster.com/dictionary/resilience
3.
Webb
,
C. T.
,
2007
, “
What is the Role of Ecology in Understanding Ecosystem Resilience?
Bioscience
,
57
(
6
), pp.
470
471
.
4.
Kerkhoff
,
A. J.
, and
Enquist
,
B. J.
,
2007
, “
The Implications of Scaling Approaches for Understanding Resilience and Reorganization in Ecosystems
,”
Bioscience
,
57
(
6
), pp.
489
499
.
5.
Walker
,
B.
,
1995
, “
Conserving Biological Diversity Through Ecosystem Resilience
,”
Conserv. Biol.
,
9
(
4
), pp.
747
752
.
6.
Mumby
,
P. J.
,
Chollett
,
I.
,
Bozec
,
Y.-M.
, and
Wolff
,
N.
,
2014
, “
Ecological Resilience, Robustness and Vulnerability: How do These Concepts Benefit Ecosystem Management?
Curr. Opin. Environ. Sustainability
,
7
, pp.
22
27
.
7.
Montefalcone
,
M.
,
Parravicini
,
V.
, and
Bianchi
,
C. N.
,
2011
, “
Quantification of Coastal Ecosystem Resilience
,”
Treatise on Estuarine and Coastal Science
, Ecohydrology and Restoration, Vol.
10
,
Elsevier
,
Philadelphia, PA
, pp.
49
70
.
8.
Pan
,
J. Y.
, and
Chan
,
C. L. W.
,
2007
, “
Resilience: A New Research Area in Positive Psychology
,”
Psychologia
,
50
(
3
), pp.
164
176
.
9.
Bonanno
,
G. A.
,
MosKowitz
,
J. T.
,
Papa
,
A.
, and
Folkman
,
S.
,
2005
, “
Resilience to Loss in Bereaved Spouses, Bereaved Parents, and Bereaved Gay Men
,”
J. Pers. Social Psychol.
,
88
(
5
), pp.
827
843
.
10.
Bonanno
,
G. A.
,
Galea
,
S.
,
Bucciarelli
,
A.
, and
Vlahov
,
D.
,
2007
, “
What Predicts Psychological Resilience After Disaster? The Role of Demographics, Resources, and Life Stress
,”
J. Consult. Clin. Psychol.
,
75
(
5
), pp.
671
682
.
11.
Wang
,
J. W.
,
Gao
,
F.
, and
Ip
,
W. H.
,
2010
, “
Measurement of Resilience and Its Application to Enterprise Information Systems
,”
Enterp. Inf. Syst.
,
4
(
2
), pp.
215
223
.
12.
Neaga
,
E. I.
,
2010
, “
Managing Knowledge, Complexity and Resilience in the Global Enterprise
,”
11th European Conference on Knowledge Management
, Vols. 1 and 2, pp.
717
723
.
13.
Branzei
,
O.
, and
Abdelnour
,
S.
,
2010
, “
Another Day, Another Dollar: Enterprise Resilience Under Terrorism in Developing Countries
,”
J. Int. Bus. Stud.
,
41
(
5
), pp.
804
825
.
14.
Sheffi
,
Y.
,
2007
,
The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage
,
MIT
,
London
.
15.
Titus
,
C. S.
,
2006
,
Resilience and the Virtue of Fortitude: Aquinas in Dialogue With the Psychosocial Sciences
,
Catholic University of America
,
Washington, DC
.
16.
Sheffi
,
Y.
, and
Rice
,
J. B.
,
2005
, “
A Supply Chain View of the Resilient Enterprise
,”
MIT Sloan Manage. Rev.
,
47
(
1
), pp.
41
48
.
17.
Bhandari
,
V. B.
,
2010
,
Design of Machine Elements
,
Tata McGraw-Hill
,
Noida, Indian
.
18.
Cox
,
A.
,
Prager
,
F.
, and
Rose
,
A.
,
2011
, “
Transportation Security and the Role of Resilience: A Foundation for Operational Metrics
,”
Transp. Policy
,
18
(
2
), pp.
307
317
.
19.
Miller-Hooks
,
E.
,
Zhang
,
X. D.
, and
Faturechi
,
R.
,
2012
, “
Measuring and Maximizing Resilience of Freight Transportation Networks
,”
Comput. Oper. Res.
,
39
(
7
), pp.
1633
1643
.
20.
Shafieezadeh
,
A.
, and
Ivey Burden
,
L.
,
2014
, “
Scenario-Based Resilience Assessment Framework for Critical Infrastructure Systems: Case Study for Seismic Resilience of Seaports
,”
Reliab. Eng. Syst. Saf.
,
132
, pp.
207
219
.
21.
Omer
,
M.
,
Nilchiani
,
R.
, and
Mostashari
,
A.
,
2009
, “
Measuring the Resilience of the Trans-Oceanic Telecommunication Cable System
,”
IEEE Syst. J.
,
3
(
3
), pp.
295
303
.
22.
Cardenas
,
A.
,
Amin
,
S.
,
Sinopoli
,
B.
,
Giani
,
A.
,
Perrig
,
A.
, and
Sastry
,
S.
,
2009
, “
Challenges for Securing Cyber Physical Systems
,”
Workshop on Future Directions in Cyber-Physical Systems Security
, pp.
1
7
.
23.
Pant
,
R.
,
Barker
,
K.
,
Ramirez-Marquez
,
J. E.
, and
Rocco
,
C. M.
,
2014
, “
Stochastic Measures of Resilience and Their Application to Container Terminals
,”
Comput. Ind. Eng.
,
70
, pp.
183
194
.
24.
Zobel
,
C. W.
, and
Khansa
,
L.
,
2014
, “
Characterizing Multi-Event Disaster Resilience
,”
Comput. Oper. Res.
,
42
, pp.
83
94
.
25.
Spiegler
,
V. L. M.
,
Naim
,
M. M.
, and
Wikner
,
J.
,
2012
, “
A Control Engineering Approach to the Assessment of Supply Chain Resilience
,”
Int. J. Prod. Res.
,
50
(
21
), pp.
6162
6187
.
26.
Youn
,
B. D.
,
Hu
,
C.
,
Wang
,
P.
, and
Yoon
,
J.-T.
,
2011
, “
Resilience Allocation for Resilient Engineered System Design
,”
J. Inst. Control Rob. Syst.
,
17
(
11
), pp.
1082
1089
.
27.
Youn
,
B. D.
,
Hu
,
C.
, and
Wang
,
P. F.
,
2011
, “
Resilience-Driven System Design of Complex Engineered Systems
,”
ASME J. Mech. Des.
,
133
(
10
), p. 101011.
28.
Li
,
J.
, and
Xi
,
Z.
,
2014
, “
Engineering Recoverability: A New Indicator of Design for Engineering Resilience
,”
ASME
Paper No. DETC2014-35005.
29.
Uusitalo
,
L.
,
2007
, “
Advantages and Challenges of Bayesian Networks in Environmental Modelling
,”
Ecol. Model.
,
203
(
3–4
), pp.
312
318
.
30.
Heckerman
,
D.
,
Geiger
,
D.
, and
Chickering
,
D. M.
,
1995
, “
Learning Bayesian Networks—The Combination of Knowledge and Statistical-Data
,”
Mach. Learn.
,
20
(
3
), pp.
197
243
.
31.
Sachin
,
S.
,
Min
,
S.
, and
Mansoor
,
A.
,
2007
, “
Data Mining of Bayesian Network Structure Using a Semantic Genetic Algorithm-Based Approach
,”
Bayesian Network Technologies: Applications and Graphical Models
,
M.
Ankush
and
K.
Ashraf
, eds.,
IGI Global
,
Hershey, PA
, pp.
42
53
.
32.
Stewart
,
G. B.
,
Mengersen
,
K.
, and
Meader
,
N.
,
2014
, “
Potential Uses of Bayesian Networks as Tools for Synthesis of Systematic Reviews of Complex Interventions
,”
Res. Synth. Methods
,
5
(
1
), pp.
1
12
.
33.
Heckerman
,
D.
,
1997
, “
Bayesian Networks for Data Mining
,”
Data Min. Knowl. Discovery
,
1
(
1
), pp.
79
119
.
34.
Sun
,
S. L.
,
Zhang
,
C. S.
, and
Yu
,
G. Q.
,
2006
, “
A Bayesian Network Approach to Traffic Flow Forecasting
,”
IEEE Trans. Intell. Transp. Syst.
,
7
(
1
), pp.
124
132
.
35.
Cai
,
B. P.
,
Liu
,
Z.
,
Zhang
,
Y.
,
Fan
,
Q.
,
Liu
,
Z.
, and
Tian
,
Z.
,
2013
, “
A Bayesian Networks Modeling of Human Factors on Offshore Blowouts
,”
J. Loss Prev. Process Ind.
,
26
(
4
), pp.
639
649
.
36.
Zhang
,
C. S.
,
Sun
,
S. L.
, and
Yu
,
G. Q.
,
2004
, “
A Bayesian Network Approach to Time Series Forecasting of Short-Term Traffic Flows
,”
ITSC
7th International IEEE Conference on Intelligent Transportation Systems
, Oct. 3–6, pp.
216
221
.
37.
Myllymaki
,
P.
,
Silander
,
T.
,
Tirri
,
H.
, and
Uronen
,
P.
,
2001
, “
Bayesian Data Mining on the Web With B-Course
,”
IEEE
International Conference on Data Mining
, San Jose, CA, pp.
626
629
.
38.
Weber
,
P.
,
Medina-Oliva
,
G.
,
Simon
,
C.
, and
Iung
,
B.
,
2012
, “
Overview on Bayesian Networks Applications for Dependability, Risk Analysis and Maintenance Areas
,”
Eng. Appl. Artif. Intell.
,
25
(
4
), pp.
671
682
.
39.
Leu
,
S. S.
, and
Chang
,
C. M.
,
2013
, “
Bayesian-Network-Based Safety Risk Assessment for Steel Construction Projects
,”
Accid. Anal. Prev.
,
54
, pp.
122
133
.
40.
Lee
,
C. J.
, and
Lee
,
K. J.
,
2006
, “
Application of Bayesian Network to the Probabilistic Risk Assessment of Nuclear Waste Disposal
,”
Reliab. Eng. Syst. Saf.
,
91
(
5
), pp.
515
532
.
41.
Heckerman
,
D.
, and
Breese
,
J. S.
,
1996
, “
Causal Independence for Probability Assessment and Inference Using Bayesian Networks
,”
IEEE Trans. Syst. Man Cybern., Part A Syst. Humans
,
26
(
6
), pp.
826
831
.
42.
Torres-Toledano
,
J. G.
, and
Sucar
,
L. E.
,
1998
, “
Bayesian Networks for Reliability Analysis of Complex Systems
,”
Progress in Artificial Intelligence—IBERAMIA 98
,
Springer
,
Heidelberg, Germany
, pp.
195
206
.
43.
Bobbio
,
A.
,
Portinale
,
L.
,
Minichino
,
M.
, and
Ciancamerla
,
E.
,
2001
, “
Improving the Analysis of Dependable Systems by Mapping Fault Trees Into Bayesian Networks
,”
Reliab. Eng. Syst. Saf.
,
71
(
3
), pp.
249
260
.
44.
Boudali
,
H.
, and
Dugan
,
J. B.
,
2005
, “
A Discrete-Time Bayesian Network Reliability Modeling and Analysis Framework
,”
Reliab. Eng. Syst. Saf.
,
87
(
3
), pp.
337
349
.
45.
Park
,
Y.
,
Hong
,
P.
, and
Roh
,
J. J.
,
2013
, “
Supply Chain Lessons From the Catastrophic Natural Disaster in Japan
,”
Bus. Horiz.
,
56
(
1
), pp.
75
85
.
46.
Canis
,
B.
,
2011
,
Motor Vehicle Supply Chain: Effects of the Japanese Earthquake and Tsunami
,
DIANE Publishing Company
,
Darby, PA
.
47.
Nanto
,
D. K.
,
2011
,
Japan's 2011 Earthquake and Tsunami: Economic Effects and Implications for the United States
,
DIANE Publishing Company
,
Darby, PA
.
48.
Carvalho
,
H.
,
Duarte
,
S.
, and
Machado
,
V. C.
,
2011
, “
Lean, Agile, Resilient and Green: Divergencies and Synergies
,”
Int. J. Lean Six Sigma
,
2
(
2
), pp.
151
179
.
49.
Omer
,
M.
,
2013
, “
Resilience-Enabling Schemes
,”
The Resilience of Networked Infrastructure Systems
,
World Scientific
,
Singapore
, pp.
49
61
.
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