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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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3

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

wangz@ihpc.a-star.edu.sg