考虑客户拖期厌恶行为的4PL路径优化问题  

Fourth party logistics routing problem considering tardiness aversion behavior of customer

作　　者：任亮[1,2] 黄敏[1,2] 王兴伟[1,2] 

机构地区：[1]东北大学信息科学与工程学院,辽宁沈阳110819 [2]东北大学流程工业综合自动化国家重点实验室,辽宁沈阳110819

出　　处：《计算机集成制造系统》2016年第4期1148-1154,共7页Computer Integrated Manufacturing Systems

基　　金：国家杰出青年科学基金资助项目(71325002;61225012);国家自然科学基金资助项目(71071028);流程工业综合自动化国家重点实验室基础科研业务费资助项目(2013ZCX11)~~

摘　　要：针对不确定环境下的第四方物流(4PL)路径优化问题,考虑到人们在不确定环境下的决策常常受到心理因素的影响,基于累积前景理论建立了4PL路径优化模型。根据4PL选择路径过程需要同时选择第三方物流(3PL)供应商的特点,采用蚁群算法和改进蚁群算法对模型进行求解,并通过算例分析验证了算法的有效性。通过实例将基于累积前景理论的模型与基于期望值理论和期望效用理论的模型进行对比。结果表明,基于累积前景理论的模型能够更有效地刻画客户的心理行为特征,有助于提升客户满意度。Aiming at the Fourth Party Logistics（4PL）routing problem under uncertain environment,by considering the influence of psychological factors on people＇s decision-making under uncertain environment,4PL routing optimization model was established based on Cumulative Prospect Theory（CPT）.According to the feature that 4PL chose routes and Third Party Logistics（3PL）providers simultaneously,an ant colony algorithm and an improved ant colony algorithm were respectively used to solve the model.The effectiveness of algorithms was verified with experimental analysis.By numerical examples,the model based on CPT was compared with the models based on expected value theory and expected utility theory,and the results showed that the model based on CPT described the customers＇psychological behavioral characteristics more accurately and helped to improve customer satisfaction.

关 键 词：第四方物流 拖期厌恶 路径优化 累积前景理论 蚁群算法 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]