Supply Chain Interdiction and Recovery Planning Under Uncertainty

大多数公共服务和供应链业务都是以互连网络的不中断运作为前提设计的，其结构中的冗余最少。随着全球化趋势和精益管理原则的不断发展，对目标效率的不断提高增加了由于自然灾害和有意的人为行动而造成的破坏的脆弱性。2011年日本地震、卡特里娜飓风、恐怖袭击以及19型新冠病毒大流行导致政府经济活动停摆，暴露了这些旨在维持轻微中断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的日常操作失败带来的风险，目标是优化预期行为。另一方面，最近发生的蓄意和重大自然灾害使人们有必要更仔细地审视此类网络的设计和运作的最坏情况。此研究计划的目标是开发决策工具，以优化网络的响应性和健壮性。为实现这一目标，重点将放在初步设计决定以及与中断恢复有关的决定上，以维持上述网络的运作。拟议的研究计划将探索利用一类重要的问题，即网络阻断和防御工事规划问题。网络拦截是指攻击者做出的对对手操作造成最大损害的一组决定，而防御工事是指防御者做出的一组决定，以将攻击者的决定造成的最大损害降至最低。拟议的项目将开发一系列综合数学模型和新的解决方法，以探讨网络阻断和保护规划对网络的初步设计和强劲的阻断后恢复的影响。应用程序将瞄准物流和供应链网络，以及关键的医疗服务网络。从这项研究项目中开发的工具和见解将有助于商业供应链、医疗保健网络设计和运营以及传染病控制的决策。

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.