Location-routing optimization research of personal protective equipment considering priority under supply and demand uncertainty
研究了需求不确定、优先级和多阶段条件下，多类别应急医疗个人防护装备的选址-路径优化问题，构建了最小化配送时间和成本的模型，并用武汉新冠案例验证了模型和算法的有效性。
This paper comprehensively takes into account the optimization objectives of emergency logistics location-routing for multi-category emergency medical personal protective equipment under conditions of demand uncertainty, priority, and multi-stage, and constructs a model for the emergency medical personal protective equipment distribution location-routing that minimizes delivery time and cost. AHP-VIKOR is used to determine demand point priorities, and triangular fuzzy theory is utilized to calculate nominal demand. The improved butterfly algorithm is employed to solve the model and design multi-stage, multi-category, and multi-objective emergency personal protective equipment location-routing schemes. Furthermore, a comparative analysis is conducted on whether the scheme considers demand point priority, and the scientificity and effectiveness of the model and algorithm are verified using the case of Wuhan City during COVID-19.