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机构地区:[1]西南交通大学交通运输与物流学院 [2]江苏大学管理学院
出 处:《管理学报》2016年第12期1842-1850,共9页Chinese Journal of Management
基 金:国家自然科学基金资助项目(71472077;41501123);中央高校基本科研业务费专项资金资助项目(2682016CX058)
摘 要:顾客选择行为影响配送企业自提点网络的运作效率。运用前景理论和MNL模型,分别刻画顾客对送货上门存在的依赖心理和缺乏准确计算能力评估自提服务损失价值的有限理性行为。将配送服务模拟成不同的排队系统,重新构造送货上门服务和不同自提服务的期待价值函数。考虑配送企业和顾客的不同利益,构建自提点选址双层规划模型,以NSGA-II和免疫算法迭代求解上下层模型并进行算例分析。计算结果验证了模型和算法的有效性与可行性,揭示了配送企业在布局自提点时应关注顾客有限理性行为。Customer choice behavior affects the operational efficiency of distribution enterprises' pickup point network.Customers have reference dependence behavior in the home delivery service and are lack of accurate calculation capability to assess loss value of pick-up service.Customers bounded rationality is depicted by prospect theory and MNL model.The home delivery service and pickup points are simulated as different queueing system and the functions of customers' expected value under different situations are constructed.Taking the distribution enterprises' and customers' different benefits into account,a bi-level optimization model for pickup point location is proposed.Furthermore,an iteration algorithm is designed to solve the upper and lower model based on NSGA-II and immune algorithm,and a numerical example is presented as an illustration.The results verify the validity and feasibility of the model and the algorithm,and show that distribution enterprises should pay attention to customers bounded rationality when layouting pickup points.
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