A multi-objective optimization model of the loading reinforcement plan of railway long heavy goods on Analytic Hierarchy Process

With development of transport technology and Transportation Demand, the loading reinforcement plan of railway long heavy goods is only decided by Transportation Enterprise and plan-making-Company. It has been unable to meet the development of railway transport of goods. It needs consider the demand of customer at the same time. A Multi-objective Optimization Model of the loading reinforcement plan is established by using Analytic Hierarchy Process (AHP). It is the first time that the customer demand is included in the Loading Plan optimization goals. It fully considered the demand of the plan-maker, the plan-user and customer. The four evaluation objectives are determined in the optimization model which is transportation security, transit time, transportation costs, and customer satisfaction. The weight of four first stage objective values and the second stage objective value safe of transport are confirmed in this paper. An application example shows that it can get a better plan by the comprehensive evaluation of three plans for different customer needs.