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

Abstract: 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.

Key words: fourth party logistics, tardiness aversion, routing optimization, cumulative prospect theory, ant colony algorithm