Optimization Models for Emergency Response and Post-Disaster Delivery Logistics: A Review of Current Approaches

Abstract

Emergency response preparedness increases disaster resilience and mitigates its possible impacts, mostly in public health emergencies. Prompt activation of these response plans and rapid optimization of delivery models and are essential for effective management of emergencies and disaster. In this paper, existing computational models and algorithms for routing deliveries and logistics during public health emergencies are identified. An overview of recent developments of optimization models and contributions, with emphasis on their applications in situations of uncertainties and unreliability, as obtainable in low-resource countries, is presented. Specific recent improvements in biologically-inspired and intelligent algorithms, genetic algorithms, and artificial immune systems techniques are surveyed. The research gaps are identified, and suggestions for potential future research concentrations are proffered.

Review on Panic Buying Behavior during Pandemics: Influencing Factors, Stockpiling, and Intervention Strategies

“…The influencing factors of panic affect both the supply and demand sides. Much of the discussion on supply planning during pandemics can be found in the supply chain resilience literature [ 16 , 24 , 34 , 43 , 44 , 45 ]. However, most of the discussions have been about the efficiencies of product distributions.…”