Understanding natural disasters as risks in supply chain management through web data analysis
With the increasing trend of global outsourcing, companies are now facing ever more complexsupply chains. When a company operates over a large geographical area, the likelihood of disruptions ispotentially increased due to such unforeseen events as natural disasters, union strikes or social unrest....
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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2015
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/7253 https://ink.library.smu.edu.sg/context/sis_research/article/8256/viewcontent/2015_Understanding_Natural_Disasters_as_Risks_in_Supply_Chain_Management_through_Web_Data_Analysis.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | With the increasing trend of global outsourcing, companies are now facing ever more complexsupply chains. When a company operates over a large geographical area, the likelihood of disruptions ispotentially increased due to such unforeseen events as natural disasters, union strikes or social unrest. Inthis paper, we consider natural disasters as a form of risks in supply chains and propose to aid itsmanagement by analyzing Web data collected in real-time. Using Twitter "tweets" as our primary source ofWeb data, a real-time data crawler is developed to collect and analyze tweets that are identified as relevant tonatural disasters. In addition, a visualization platform customizable to users’ requirements is implemented aspart of the decision making dashboard for supply chain risk management. The applicability of such a systemand its effectiveness for making informed decisions in risk mitigations are then discussed via a case study. |
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