考虑交通中断限制的两阶段应急物资储运调度优化OA

This study focuses on the pre-disaster allocation and post-disaster transportation of emergency supplies in complex and uncertain environments,and proposes a two-stage decision-making optimization methodology for emergency supply inventory-transportation scheduling operation,considering road traffic disruptions due to traffic congestion and flow restrictions.Based on a review of relevant literature,this study comprehensively considers the uncertainty and the disruptions or restrictions caused by road congestion among the supplies inventory-transportation scheduling operation process,and a risk-averse two-stage stochastic programming model is developed using the mean-CVaR risk measure,which aims to schedule transportation routes and optimize the inventory-transportation network configuration while minimizing total scheduling costs.Two indices of stochastic information value are introduced:risk-averse value of perfect information(RAVPI)and risk-averse value of the stochastic solution(RAVSS),which are used to assess the differential impact of stochastic distribution information and stochastic programming methods on emergency supply scheduling operation strategies under varying congestion levels.Key findings include:①Traffic disruption or restriction substantially increase total scheduling costs,altering the optimal pre-disaster inventory layouts and post-disaster transport routes;②Under the roads with significant degree of traffic disruption or restriction,the operation strategy from stochastic programming methodology reduces total scheduling costs by up to 10%,which can leverage the additional value of stochastic distributional information effectively.