Mathematical Problems in Engineering

Models and Methods for Risk Management under Emergencies


Publishing date
01 Sep 2022
Status
Closed
Submission deadline
06 May 2022

Guest Editors

1Hong Kong Polytechnic University, Hong Kong

2Binzhou University, Binzhou, China

3Macau Univresity of Science and Technology, Macau, Macau

This issue is now closed for submissions.

Models and Methods for Risk Management under Emergencies

This issue is now closed for submissions.

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

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 9057587
  • - Research Article

Sequential Test for Change-Point in Long Memory Process

Xiuqin Jia | Zhanshou Chen | Yan Liang
  • Special Issue
  • - Volume 2022
  • - Article ID 5024361
  • - Research Article

Optimal Emergency Ordering Policy for Inventory with a Random-Ending-Time Supply Disruption

Man Hu | Libin Guo
  • Special Issue
  • - Volume 2022
  • - Article ID 6176756
  • - Research Article

Location Allocation Collaborative Optimization of Emergency Temporary Distribution Center under Uncertainties

Xiangyang Ren | Juan Tan
  • Special Issue
  • - Volume 2022
  • - Article ID 7353083
  • - Research Article

On the Preorder Strategy for Loss-Averse Newsvendor Model under CVaR Measure

Jingfu Huang | Bo Feng | Chengfei Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 9140280
  • - Research Article

How Does Media Coverage of Entrepreneurship Affect Entrepreneurial Decision-Making of Returning Migrant Workers in China? A Moderated Mediation Model

Jinfa Liu | Jie Liu | ... | Yijin Wu
  • Special Issue
  • - Volume 2021
  • - Article ID 8026680
  • - Research Article

Fund Matching between Fund-Raisers and Investors in Financing Platform with Consideration of Default Risk

Kenan Li | Xin Li | ... | Pak Hou Che
  • Special Issue
  • - Volume 2021
  • - Article ID 1562771
  • - Research Article

Corporate Diversification, Ownership, and Solvency in China’s Property-Liability Insurance Companies

Shuang Wu | Xilian Deng
Mathematical Problems in Engineering
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