| 摘要(英) |
Supply chain management is an important part of any product enterprise. It can let leader make more effectively plan, control and execute the flow of goods and services. With the continuous development and progress of the Internet today, the supply chain is gradually globalized, which also makes the overall structure more and more complex. However, risk events in the supply chain often cause partial or entire supply chain interruptions, resulting in huge losses for enterprises. In recent years, the turbulent international situation and the COVID-19 epidemic have had a significant impact on the supply chain. Therefore, assessing supply chain risks and taking corresponding contingency measures to reduce losses are issues that enterprises must pay attention to.
This study uses Multilevel Flow Modeling (MFM) to model and analyze the supply chain. MFM is suitable for the description of the objectives and functions of complex
processes, and can clearly express the increasingly complex supply chain today. The supply chain is visualized to clearly express the correlation between the various processes. Then use Failure Mode, Effects and Criticality Analysis (FMECA) to evaluate and measure the risks in the supply chain, and prioritize the processing of each risk, so as to control and improve the risk. Taking the booming electric vehicle industry in recent years as an example, the above methods are introduced into the supply chain of the electric vehicle industry to help identify potential risks in the supply chain and give suggestions for improvement. |
| 參考文獻 |
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