考虑客户时间偏好的第四方物流路径优化问题

为使第四方物流系统能够在不确定环境下为客户提供有效的运输方案,在一定费用投入下获得更高的客户满意度,研究考虑客户时间偏好的第四方物流路径优化问题.基于累积前景理论,以最大化总运输时间的前景值为目标,建立考虑客户时间偏好的数学模型,并采用蚁群算法对模型进行求解,数值算例验证了算法的有效性·并且,将该模型与传统的期望值模型和期望效用模型进行对比,算例分析表明,考虑客户时间偏好模型可以更有效地描述客户心理行为,并适用于具有不同风险态度的客户群体,验证了模型的有效性.

Fourth party logistics routing optimization problem considering time preference of customer

To make the fourth party logistics system capable in providing efficient solutions to the customer under uncertain environment, which is achieving higher customer satisfaction under the cost constraint, a fourth party logistics routing optimization problem considering time preference of customer is studied. Based on the cumulative prospect theory, the fourth party logistics routing optimization problem considering time preference of customer model is established to maximize the prospect value of the total transportation time. Then, an ant colony algorithm is used to solve the model, and numerical examples show the effectiveness of the algorithm. Furthermore, the model is compared with the traditional expected value model and expected utility model. Numerical analysis shows that the model considering time preference can describe customer's psychological behavior more effectively and is suitable for groups of customers with different risk attitudes, which verify the effectiveness of the model.