摘要: |
This project proposes to develop methods for disruption management of renewable energy supply chain systems against recurrent supply/demand fluctuation and non-recurrent disasters, with an objective of achieving system security and efficiency. Different risk preferences will be modeled and evaluated under different types of risk scenarios. A stochastic modeling framework incorporating various risk measures will be established, which can be used to better understand the effects of risk preferences on system planning, and to find a robust solution hedging well against a wide possible risk scenarios. Case studies of biofuel supply chain disruption management using California data will be carried out for numerical testing and sensitivity analysis of model parameters. A key feature of this proposed research distinguishing itself from most existing studies is the integration of physical facility design and the operational management of the entire supply chain. Supply chain disruption management is a new research topic. How to best capture recurrent and non-recurrent risks and disruptions and to incorporate these different types of risks and various risk preferences into a mathematical model has not been well studied. The proposed research has a potential to contribute to this void in literature. The domain of renewable energy itself is directly related to greenhouse gas emission reduction and energy source diversification. The measure of system security and resilience, emphasized in this study, is also an important theme of sustainability. |