Supply Chain Interdiction and Recovery Planning Under Uncertainty

不确定性下的供应链拦截和恢复计划

• 批准号: RGPIN-2021-04139
• 负责人: Kuzgunkaya, Onur
• 金额: $ 2.26万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=760516
• 关键词: Supply; Chain; Interdiction; Recovery; Planning

The majority of public services and supply chain operations are designed based on the premise of undisrupted functioning of interconnected networks with minimal redundancy in their structure. The constant thrive for aiming efficiency along with the globalization trends and lean management principles increased the vulnerability to disruptions due to natural disasters and intentional man made actions. 2011 Japan earthquake, hurricane Katrina, terrorist attacks and government shutdown of economic activities due to COVID 19 pandemic exposed the deficiencies of these interconnected social and economic networks designed to sustain minor disruptions. Supply chain risk management literature mainly focuses on risks from random daily operational failures with the objective of optimizing the expected behaviour. On the other hand, recent deliberate and major natural disasters created the need to look worst case conditions more carefully at the design and operation of such networks. The objective of this research program is to develop decision making tools that will optimize the responsiveness and the robustness of networks. In achieving this objective the focus will be on the initial design decisions as well as post interdiction recovery related decisions to maintain functioning of said networks. The proposed research program will explore the use of an important class of problems known as network interdiction and fortification planning problems. Network interdiction refers to the set of decisions made by an attacker to create maximum damage to an adversary's operations whereas the fortification refers to the set of decisions made by the defender to minimize the maximum damage caused by the attacker's decisions. The proposed project will develop a range of integrated mathematical models and novel solution methodologies to explore the impact of network interdiction and protection planning on the initial design and robust post-interdiction recovery of networks. Applications will be aiming logistics and supply chain networks, critical healthcare services networks. The developed tools and insights from this research program will contribute to decision making in commercial supply chains, healthcare network design and operations as well as infectious disease control.

大多数公共服务和供应链运营都是基于互联网络不间断运行、结构冗余最小的前提下设计的。随着全球化趋势和精益管理原则对效率的不断追求，增加了因自然灾害和人为行为而造成破坏的脆弱性。 2011 年日本地震、卡特里娜飓风、恐怖袭击以及政府因 COVID 19 大流行而关闭经济活动，暴露了这些旨在维持轻微破坏的相互关联的社会和经济网络的缺陷。供应链风险管理文献主要关注随机日常运营故障带来的风险，目的是优化预期行为。另一方面，最近故意发生的重大自然灾害使得在设计和运营此类网络时需要更仔细地考虑最坏的情况。该研究计划的目标是开发决策工具，以优化网络的响应能力和稳健性。为了实现这一目标，重点将放在初始设计决策以及拦截后恢复相关决策上，以维持所述网络的功能。拟议的研究计划将探索一类重要问题的使用，即网络拦截和防御规划问题。网络拦截是指攻击者为对对手的操作造成最大损害而做出的一组决策，而防御是指防御者为最小化攻击者决策造成的最大损害而做出的一组决策。 拟议项目将开发一系列综合数学模型和新颖的解决方法，以探索网络拦截和保护规划对网络初始设计和稳健的拦截后恢复的影响。应用程序将瞄准物流和供应链网络、关键的医疗保健服务网络。该研究项目开发的工具和见解将有助于商业供应链、医疗网络设计和运营以及传染病控制方面的决策。