United Nations Supply Chain Resilience Case Study Analysis of Vulnerabilities in Crisis Affected Regions

Abstract

United Nations is coordinating peacekeeping and crisis management activities such as UNDP with the main target to interconect humanitarian aid, security and sustainable development programs. The transition between conflict or crisis affected area to peaceful and stability zone represents a long lasting and complex process, under permanent risk of recurrence to the initial crisis. Wihin this sustainable development strategy, a crucial role is represented by supply chain resilience. This aspect is esential not only for humanitarian organizations but also for crisis affected population. This case study focus on UN supply chain operational resilience by developing a comparative analysis between COVID 19 pandemic, war in Ukraine and the conflict in the Middle East. We used a methodology that a lot of specialised companies developp and invest in: risk management procedures. The main goal is to obtain proficient supply chains working without major disruptions. The state of the art is the AI which includes machine learning, natural language processing, and computer vision, enabling predictive analytics and decision-making in supply chain operations. Also, BDA helps process and analyse vast amounts of data that improve supply chain responsiveness. JEL: Q56, O19, L23, D81