针对干扰事件导致物流配送难以顺利实施这一难题,运用干扰管理思想,通过结合行为科学中对人的行为感知的研究方法与运筹学中定量的研究手段,从客户、物流配送运营商、配送业务员三个方面度量物流配送系统的扰动,提出基于前景理论的扰动度量方法,构建字典序的多目标干扰管理模型并采用改进的蚁群算法进行求解.实例结果表明:本文方法比全局重调度方法和局部重调度方法更实用——能够均衡各方的利益,得到的调整方案对系统的扰动更小.
It is difficult to generate a new plan effectively for minimizing the negative impact when disruption occurs in logistic distribution. Based on disruption management, this research aims to improve the science of the decision making of disruption management in logistic distribution by combining the behavioral perception in prospect theory with the quantitative analysis in operations research. At the beginning, the method to measure the deviation based on prospect theory is studied by analyzing the effects of disruption on the customer, logis- tics enterprise, and delivery worker. Then, the multi-objective model of disruption management based on the Lexicographic Multiple Goal Programming is constructed and an improved ant colony optimization is demonstra- ted. The computational result of the model proves that, due to the tradeoff between all parties involved in the logistic distribution, our method is more oraetieal than global rescheduling and local rescheduling.