| Title | A Framework for Risk Management of Large-Scale Organisation Supply Chains |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Hong, TingYi, Kolios, Athanasios |
| Conference Name | 2020 International Conference on Decision Aid Sciences and Application (DASA) |
| Keywords | Business, delays, Machinery, Manufacturing industries, Metrics, pubcrawl, risk assessment, risk management, supply chain risk assessment, supply chain risk management, supply chain risks, supply chain visibility, Supply chains, Tools |
| Abstract | This paper establishes a novel approach to supply chain risk management (SCRM), through establishing a risk assessment framework addressing the importance of SCRM and supply chain visibility (SCV). Through a quantitative assessment and empirical evidence, the paper also discusses the specific risks within the manufacturing industry. Based on survey data collected and a case study from Asia, the paper finds that supplier delays and poor product quality can be considered as prevailing risks relevant to the manufacturing industry. However, as supply chain risks are inter-related, one must increase supply chain visibility to fully consider risk causes that ultimately lead to the risk effects. The framework established can be applied to different industries with the view to inform organisations on prevailing risks and prompt motivate improvement in supply chain visibility, thereby, modify risk management strategies. Through suggesting possible risk sources, organisations can adopt proactive risk mitigation strategies so as to more efficiently manage their exposure. |
| DOI | 10.1109/DASA51403.2020.9317024 |
| Citation Key | hong_framework_2020 |
A Framework for Risk Management of Large-Scale Organisation Supply Chains