关键词: 选址—配送集成, 常态化, 应急物流, 双目标优化, 混合启发式

Abstract: With the acceleration of China’s modernization, all kinds of public health emergencies have occurred frequently in recent years, which not only jeopardize people’s physical and mental health but also bring great pressure on the national medical and health service system. However, although the general cost reduction and efficiency-oriented material supply network of enterprises can obtain certain operational advantages by cutting production capacity and compression of inventory and other measures, when the risk of public health emergencies comes, the insufficient supply of emergency medicine and other materials and the phenomenon of lagging expose the vulnerability and complexity of the supply chain. Scientific and reasonable distribution points for emergency medical supplies, as well as efficient distribution network design and distribution decisions, will play an important supporting role in epidemic prevention and management.
In the context of public health emergency prevention and control, this paper aims at minimizing the total cost of daily operation of medical material distribution points and maximizing the response capacity of emergency allocation of medical materials for epidemic prevention after an emergency, so as to study the problem of selecting the location of medical material distribution points and distribution. Specifically, it is to establish a dual-objective material distribution point location and distribution model that takes into account the daily supply of medical materials and emergency material protection, considering the stock of medical materials, the scale of demand, the urgency of the emergency response of enterprises in the region, and other factors.
For methodology, the traditional idea of optimizing the location of transit facilities and the formulation of distribution routes in sequential order often leads to suboptimal results, so this paper will try to design an integrated approach to the synergistic optimization of the site selection of transit and distribution points and the distribution of emergency materials so as to further improve the efficiency of emergency logistics delivery. The algorithm introduces the particle swarm optimization mechanism to further improve the global search performance of the ant colony algorithm and incorporates the fast non-dominated sorting strategy to obtain the decision optimization solution set for the dual-objective feature of the problem. After the numerical experimental analysis of various scales and the comparison of the experimental results, the designed algorithm shows strong feasibility and effectiveness and demonstrates a better solving effect and higher solving efficiency in comparison with other algorithms. This paper copes with the fluctuation of material demand caused by the change in the event situation. The research results can provide management strategies under different decision-making preferences and provide effective theoretical and decision-making support for effectively preventing the hidden dangers of public health emergencies and controlling emergency logistics costs.

Key words: integrated location-routing, normalization, emergency logistics, bi-objective optimization, hybrid heuristic