Models and Methods for Risk Management under Emergencies
1Hong Kong Polytechnic University, Hong Kong
2Binzhou University, Binzhou, China
3Macau Univresity of Science and Technology, Macau, Macau
Models and Methods for Risk Management under Emergencies
Description
With any sudden emergency, the operations of supply chains can be seriously disrupted. For example, in a public health emergency, there can be an enormous increase in the demand for medical equipment, causing the procurement and retail prices to increase greatly. This brings potential risks and increased operational costs for buyers and suppliers in practice.
Evidently, improving risk management under emergencies is critical as it can help stakeholders in the supply chain reduce potential risks and decrease losses. In addition, it can help to coordinate the decisions of supply chain stakeholders so that the supply chain can continue to operate with high levels of efficiency. Motivated by the importance of improving risk management under emergencies, there is an urgent need for research into how best to improve risk management of both buyers and suppliers under emergency conditions.
The aim of this Special Issue is to invite submissions that focus on all topics related to risk management under emergencies, and we are particularly interested in models and methods for improving risk management for buyers or suppliers when emergencies occur. We welcome papers based on all types of models and methods, including theoretical, empirical, and field-based research. We hope that the Special Issue can contribute to the risk management of supply chain stakeholders under emergencies. We welcome both original research and review articles.
Potential topics include but are not limited to the following:
- Models of procurement under emergencies in supply chains
- Influences of risk or loss preferences on decisions under emergencies
- Risk control methods or models under emergencies
- Multi-sourcing methods and models in supply chains
- Application of risk hedging methods under emergencies
- Inventory models and methods under emergencies
- Coordinating methods and models under emergencies for supply chains
- Application of risk control measures in operations of supply chains
- Modeling with uncertainty demand and supply
- Artificial intelligence techniques in high risk management under emergencies