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Journal of OperationsManagement 
A.Micheal Knemeyer, Walter Zinn, Cuneyt Eroglu 
Shriram Prabhu.S 
Shanmukha Sreenivas.P 
-Shriram Prabhu S & Shanmukha Sreenivas P 1
SUPPLY CHAIN 
-Shriram Prabhu S & Shanmukha Sreenivas P 2
Risk Categorization scheme 
No Minor Medium Serious Catastrophic 
Business Impact 
Probability 
Very High 
High 
Medium 
Low 
Very Low 
-Shriram Prabhu S & Shanmukha Sreenivas P 3
Primary focus 
Proactive planning for a catastrophic event and not how 
to respond once a catastrophe occurs . 
Prevention is better than cure !!!! 
-Shriram Prabhu S & Shanmukha Sreenivas P 4
Conceptual framework for Risk 
analysis 
Risk 
Assessment 
& 
Vulnerability 
Analysis 
Risk 
perception 
Risk 
Management 
Strategies 
Continuous Evaluation 
-Shriram Prabhu S & Shanmukha Sreenivas P 5
Process of proactive planning 
1)Identify key locations and threats 
2)Estimate probabilities and 
potential loss for each location 
3)Evaluate alternate 
countermeasures for each location 
4)Select counter measures for each 
location 
-Shriram Prabhu S & Shanmukha Sreenivas P 6
Step 1a: Identify key locations 
A location is considered key if interruption of its 
operations results in a major disruption in the flow of 
goods in the supply chain. 
One methodology used for the same is supply chain 
mapping. 
-Shriram Prabhu S & Shanmukha Sreenivas P 7
Supply chain mapping 
A visual representation of goods, information, 
processes, and money flows that occur throughout a 
supply chain, both upstream and downstream. 
-Shriram Prabhu S & Shanmukha Sreenivas P 8
Why supply chain mapping? 
Supply chains must now compete against other supply 
chains 
Supply chains are a points of strategic advantage 
Maps highlight inefficiencies 
Provide a methodology for analyzing processes 
-Shriram Prabhu S & Shanmukha Sreenivas P 9
Step 1b: Listing of threats 
Once key locations are identified , a list of potential 
threats to each location should be established. 
Possible sources – Public sources, Insurance 
companies. 
-Shriram Prabhu S & Shanmukha Sreenivas P 10
Step 2a: Estimation of probabilities 
In this step, we estimate probabilities for each 
potential catastrophe for each key location 
Simulators are used typically. These use historical data 
as input. 
-Shriram Prabhu S & Shanmukha Sreenivas P 11
Scheme of a Simulator 
Damage 
Estimation 
Policy 
Conditions 
Local Intensity 
Calculation 
Exposure Data 
Event 
Generation 
Insured Loss 
calculation 
-Shriram Prabhu S & Shanmukha Sreenivas P 12
Step 2a: Contd. 
The probability distributions for different potential 
catastrophes are convolved to produce a consolidated 
probability distribution for each key location 
Point estimates are generated by looking at 
hypothetical loss values. 
Disruption Analysis Network DA_NET 
Wu et al. (2007) 
This paper presents a network-based modelling methodology to determine how changes or 
disruptions propagate in supply chains and how those changes or disruptions affect the 
supply chain system. 
-Shriram Prabhu S & Shanmukha Sreenivas P 13
Model output 
Key location Catastrophe 1 Catastrophe 
2 
Catastrophe 
3 
Overall 
KL 1 X.XXX Y.YYY Z.ZZZ A.AAA 
KL 2 B.BBB C.CCC D.DDD E.EEE 
These point estimates are probability values 
-Shriram Prabhu S & Shanmukha Sreenivas P 14
Scheme of a Hurricane Simulator 
Past data, prev 
damages 
Policy 
Conditions 
Local wind fields, 
distance from 
coast..etc 
Exposure Data 
Exp no. of hurricanes in a 
season,,hurricane 
size,centralpressure,wind 
speed 
Total exposure of an 
insurance company 
(not dealt here) 
-Shriram Prabhu S & Shanmukha Sreenivas P 15
Step 2b: Estimate loss 
Effect on revenue 
and cost 
Potential loss of 
market share 
Loss of customer 
trust 
We estimate loss from a catastrophic event. 
We should consider total impact of the loss of the 
facility on the supply chain. 
-Shriram Prabhu S & Shanmukha Sreenivas P 16
Possible losses 
Human resources 
Product/Inventory 
Physical assets 
Public infrastructure 
Information 
Financial 
Helfrich and Cook (2002) 
-Shriram Prabhu S & Shanmukha Sreenivas P 17
Approach with losses 
Look at quantifiable losses at first. 
Use managerial discretion and know how to estimate 
qualitative items 
-Shriram Prabhu S & Shanmukha Sreenivas P 18
Potential Loss function 
PLK = PK LK 
Where, 
PK is the probability estimate of a catastrophic event impacting key 
location K 
LK is the estimated loss incurred if catastrophic event occurs at location 
K 
-Shriram Prabhu S & Shanmukha Sreenivas P 19
Step 3: Evaluate Countermeasures 
To manage risk we make use of a catastrophic risk 
management matrix. 
It shows the probability estimate of a catastrophic 
event against the estimated loss exposure for each of 
the firm’s key locations. 
-Shriram Prabhu S & Shanmukha Sreenivas P 20
Catastrophic risk management 
Matrix 
•Managers prepare 
and implement 
counter measures to 
mitigate risk from ‘C’ 
Events 
•Managers accept the 
risk as potentially 
less costly than 
counter measures 
•Managers prepare 
and implement 
counter measures to 
mitigate loss & risk 
from ‘C’ Events 
•Managers prepare 
and implement 
counter measures to 
mitigate loss from ‘C’ 
Events 
Loss 
Mitigation 
Risk & Loss 
Mitigation 
Risk 
Mitigation 
Risk & Loss 
Acceptance 
Proability 
Estimated loss from the catastrophic event 
Lower Higher 
Lower Higher 
-Shriram Prabhu S & Shanmukha Sreenivas P 21
Considerations 
For each counter measure consider the following 
Cost of the countermeasure. 
Effect on PK i.e. quantum of reduction of PK. 
Effect on LK i.e. increase in Loss if catastrophe occurs 
in spite of the countermeasure. 
-Shriram Prabhu S & Shanmukha Sreenivas P 22
Model Output 
Key 
Counter 
Investmen 
location 
measure 
t 
Cost 
Rs / 
Year 
Reductio 
n in PK 
Loss L K Change 
in PL 
Rs/Year 
Ignore those countermeasures whose cost exceeds decrease in PL 
-Shriram Prabhu S & Shanmukha Sreenivas P 23
Implementation 
Implementation team needs to decide the frequency of 
this exercise. 
Organizational commitment and zest to this complex 
process is vital 
-Shriram Prabhu S & Shanmukha Sreenivas P 24
-Shriram Prabhu S & Shanmukha Sreenivas P 25

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Proactive planning for catastrophic events in supply chains

  • 1. Journal of OperationsManagement A.Micheal Knemeyer, Walter Zinn, Cuneyt Eroglu Shriram Prabhu.S Shanmukha Sreenivas.P -Shriram Prabhu S & Shanmukha Sreenivas P 1
  • 2. SUPPLY CHAIN -Shriram Prabhu S & Shanmukha Sreenivas P 2
  • 3. Risk Categorization scheme No Minor Medium Serious Catastrophic Business Impact Probability Very High High Medium Low Very Low -Shriram Prabhu S & Shanmukha Sreenivas P 3
  • 4. Primary focus Proactive planning for a catastrophic event and not how to respond once a catastrophe occurs . Prevention is better than cure !!!! -Shriram Prabhu S & Shanmukha Sreenivas P 4
  • 5. Conceptual framework for Risk analysis Risk Assessment & Vulnerability Analysis Risk perception Risk Management Strategies Continuous Evaluation -Shriram Prabhu S & Shanmukha Sreenivas P 5
  • 6. Process of proactive planning 1)Identify key locations and threats 2)Estimate probabilities and potential loss for each location 3)Evaluate alternate countermeasures for each location 4)Select counter measures for each location -Shriram Prabhu S & Shanmukha Sreenivas P 6
  • 7. Step 1a: Identify key locations A location is considered key if interruption of its operations results in a major disruption in the flow of goods in the supply chain. One methodology used for the same is supply chain mapping. -Shriram Prabhu S & Shanmukha Sreenivas P 7
  • 8. Supply chain mapping A visual representation of goods, information, processes, and money flows that occur throughout a supply chain, both upstream and downstream. -Shriram Prabhu S & Shanmukha Sreenivas P 8
  • 9. Why supply chain mapping? Supply chains must now compete against other supply chains Supply chains are a points of strategic advantage Maps highlight inefficiencies Provide a methodology for analyzing processes -Shriram Prabhu S & Shanmukha Sreenivas P 9
  • 10. Step 1b: Listing of threats Once key locations are identified , a list of potential threats to each location should be established. Possible sources – Public sources, Insurance companies. -Shriram Prabhu S & Shanmukha Sreenivas P 10
  • 11. Step 2a: Estimation of probabilities In this step, we estimate probabilities for each potential catastrophe for each key location Simulators are used typically. These use historical data as input. -Shriram Prabhu S & Shanmukha Sreenivas P 11
  • 12. Scheme of a Simulator Damage Estimation Policy Conditions Local Intensity Calculation Exposure Data Event Generation Insured Loss calculation -Shriram Prabhu S & Shanmukha Sreenivas P 12
  • 13. Step 2a: Contd. The probability distributions for different potential catastrophes are convolved to produce a consolidated probability distribution for each key location Point estimates are generated by looking at hypothetical loss values. Disruption Analysis Network DA_NET Wu et al. (2007) This paper presents a network-based modelling methodology to determine how changes or disruptions propagate in supply chains and how those changes or disruptions affect the supply chain system. -Shriram Prabhu S & Shanmukha Sreenivas P 13
  • 14. Model output Key location Catastrophe 1 Catastrophe 2 Catastrophe 3 Overall KL 1 X.XXX Y.YYY Z.ZZZ A.AAA KL 2 B.BBB C.CCC D.DDD E.EEE These point estimates are probability values -Shriram Prabhu S & Shanmukha Sreenivas P 14
  • 15. Scheme of a Hurricane Simulator Past data, prev damages Policy Conditions Local wind fields, distance from coast..etc Exposure Data Exp no. of hurricanes in a season,,hurricane size,centralpressure,wind speed Total exposure of an insurance company (not dealt here) -Shriram Prabhu S & Shanmukha Sreenivas P 15
  • 16. Step 2b: Estimate loss Effect on revenue and cost Potential loss of market share Loss of customer trust We estimate loss from a catastrophic event. We should consider total impact of the loss of the facility on the supply chain. -Shriram Prabhu S & Shanmukha Sreenivas P 16
  • 17. Possible losses Human resources Product/Inventory Physical assets Public infrastructure Information Financial Helfrich and Cook (2002) -Shriram Prabhu S & Shanmukha Sreenivas P 17
  • 18. Approach with losses Look at quantifiable losses at first. Use managerial discretion and know how to estimate qualitative items -Shriram Prabhu S & Shanmukha Sreenivas P 18
  • 19. Potential Loss function PLK = PK LK Where, PK is the probability estimate of a catastrophic event impacting key location K LK is the estimated loss incurred if catastrophic event occurs at location K -Shriram Prabhu S & Shanmukha Sreenivas P 19
  • 20. Step 3: Evaluate Countermeasures To manage risk we make use of a catastrophic risk management matrix. It shows the probability estimate of a catastrophic event against the estimated loss exposure for each of the firm’s key locations. -Shriram Prabhu S & Shanmukha Sreenivas P 20
  • 21. Catastrophic risk management Matrix •Managers prepare and implement counter measures to mitigate risk from ‘C’ Events •Managers accept the risk as potentially less costly than counter measures •Managers prepare and implement counter measures to mitigate loss & risk from ‘C’ Events •Managers prepare and implement counter measures to mitigate loss from ‘C’ Events Loss Mitigation Risk & Loss Mitigation Risk Mitigation Risk & Loss Acceptance Proability Estimated loss from the catastrophic event Lower Higher Lower Higher -Shriram Prabhu S & Shanmukha Sreenivas P 21
  • 22. Considerations For each counter measure consider the following Cost of the countermeasure. Effect on PK i.e. quantum of reduction of PK. Effect on LK i.e. increase in Loss if catastrophe occurs in spite of the countermeasure. -Shriram Prabhu S & Shanmukha Sreenivas P 22
  • 23. Model Output Key Counter Investmen location measure t Cost Rs / Year Reductio n in PK Loss L K Change in PL Rs/Year Ignore those countermeasures whose cost exceeds decrease in PL -Shriram Prabhu S & Shanmukha Sreenivas P 23
  • 24. Implementation Implementation team needs to decide the frequency of this exercise. Organizational commitment and zest to this complex process is vital -Shriram Prabhu S & Shanmukha Sreenivas P 24
  • 25. -Shriram Prabhu S & Shanmukha Sreenivas P 25