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Understanding the Effects of Natural Disasters as Risks in Supply Chain Management: Data Analysis
Based Visualization Approach
Presenter: Dr. Zhaoxia WANG Scientist, Cross-disciplinary Data-intensive Analytics
Department of Computing Science Institute of High Performance Computing (IHPC)
Agency for Science, Technology and Research (A*STAR)
Supply chain networks Across a Complex Global Marketplace
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Effect of Japanese Earthquake
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Thailand flood
The links of supply chains can easily be disrupted in
various ways due to these unforeseeable, natural
events.
Problem Statement
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• (SCNs) -complex system (interconnected,
interdependent, global,…).
• With increased complexity, supply chains are easily
disrupted in various ways due to natural disaster.
• Limited visibility is also a challenge for supply chain
management.
• Topics and Open problems
– How to rapid response to unplanned events.
– How to better visualize the entire supply chain and its happenings
– How we leverage modern techniques to prepare the plan for supply
chain risk mitigation
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Data Analysis based Visualization
Scheme
1. Introduction
2. Overview hierarchical design
3. Implementation
4. Demo
5. Conclusion & Future Prospects
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Results
Supply Chain Visualizer (SCV)
Request
Displays temporal,
spatial and connectivity
of the networks
Provides natural
disaster profile and
locations
Supports multi-
window, multi-view and
multi-page displays
Provides possible
effects of the disaster
analysis results for
better management of
the supply chains
Risk analysis module
Network analysis module
Other data analysis modules
Data
Overview hierarchical design
Data analysis modules
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Real-time Data Analytics and
visualization for Risk Management and Real-time Monitoring
Aims
Methods and designs
Visualization
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Implementation of the proposed scheme
To display risks dynamically and other required information
To enable dealing with the problems in a timely manner.
User interface
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Display real-time nature disaster
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Alerts
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Illustration of alerts
13 http://10.217.168.178:8080/RiskVisV1/
Simulation results of alert analysis
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http://10.217.168.178:8080/RiskVisV1/
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Main Functions
Receive and show real time information
Organize multiple windows
Record analysis histories
Filter out data to focus on relevant items
Sort items to expose patterns
Derive values of parameters from the database
Select one or more parameters, and show statistical analysis result
Add, delete, edit the selected data
Inquire the real-time location and condition information of the selected items
Map the data according to various functions
Show different icons according to different items (such as different risks)
Share views and annotation to enable collaboration
Guide users through analysis tasks
Select items to highlight, manipulate, zoom in or zoom out
Navigate to examine high level patterns and low level details
http://10.217.168.178:8080/RiskVisV1/
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We provide a data analytics and visualization platform for
understanding natural disaster as a risk of supply chain
management.
Supply chain visualization platform is provided for better
understand disaster and managing supply chains.
The platform displays temporal, spatial and connectivity patterns
of supply chains, analyzing network topology through network
analysis module. Through data collection and analysis modules
to realize real-time disaster data collection, monitoring and
analyzing.
The proposed scheme can be extended to dealing with other
risks and allows senior management to have a clear overview of operations in their supply chains.
Conclusions
Understanding the Effects of Natural Disasters as Risks in Supply Chain Management: Data Analysis
Based Visualization Approach
Zhaoxia WANG, Rick Siow Mong GOH, Xiao Feng YIN
Loganathan Ponnambalam, Xiuju FU, Sifei LU
