Proaktif Afet Lojistiği: Belirsizlik Altında ve Çevik Esnek Ağ Yönetimi
Synopsis
In disaster logistics, a shift is occurring from the traditional reactive approach based on unplanned post-crisis responses to an analytical and proactive paradigm that treats uncertainty as a fundamental parameter. This transition is of vital importance for disaster logistics. Pre-disaster preparedness, strategic pre-positioning, multimodal transportation, and the integration of logistic processes with early warning systems radically shorten response times while increasing resource efficiency. This study reveals the role of advanced mathematical models, such as stochastic programming and distributionally robust optimization, under conditions of uncertainty. Furthermore, to move beyond a purely cost-oriented focus, it introduces the concept of "deprivation cost" into decision-making processes, thereby offering an ethical and equitable framework for resource allocation. The study emphasizes balancing lean approaches—which prevent waste prior to a disaster—with agile principles that ensure rapid response during a crisis, achieved through a "leagility" architecture and decoupling point. The chapter demonstrates that digital technologies such as artificial intelligence, IoT, big data, UAVs, and blockchain enhance situational awareness. It also validates the strategic importance of multi-stakeholder governance, localization, and green logistics practices in building sustainable disaster resilience.
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