考虑客户需求变动的物流配送干扰管理研究OA北大核心CSTPCD

Dynamic customer demands may sometimes make the logistics distribution plan non-optimal or even infeasible.To satisfy customers'diverse demands and cope with the disruption caused by changes in customer demand,a disruption management strategy is proposed to optimize the distribution vehicle routing problem.The deviation measurements on companies,customers and distributors are first defined.Then a mathematical model that minimizes the weighted sum of deviation measurements is constructed.Next,an improved genetic algorithm is developed to efficiently solve the model.Considering the mixed load attributes of vehicles,two-stage crossover and mutation operation based on individual double-layer gene expression are proposed.Finally,experiments are conducted on instances extended from the Solomon bench-marks.The results show that the strategy is feasible and superior in solving the distribution routing problem with customer demand uncertainty.This research can provide theoretical basis and practical guidance for the route decision in distribu-tion service.