区间模糊需求下时间敏感型货物多式联运低碳路径优化OA

To improve the comprehensive service level of intermodal transportation of time-sensitive goods from economics,environmental sustainability,timeliness,and reliability aspects,and to enhance the intermodal transportation to attract more high-value goods,this study employed hard time window to regulate the goods delivery time,used the interval fuzzy number to model demand uncertainty of the time-sensitive goods and the resulting uncertainty of transportation costs,carbon emissions and goods delivery time,and explored a green intermodal routing problem of time-sensitive goods where minimizing the transportation costs and carbon emissions were taken as the objectives.A multi-objective fuzzy linear programming model was constructed to deal with the problem,and an interactive fuzzy programming approach was further adopted to obtain the Pareto solutions to the multi-objective optimization problem.A numerical case was used to verify the feasibility of the optimization method.The sensitivity analysis in numerical case indicates that improving the transportation reliability through increasing the satisfaction level significantly influence the intermodal routing for time-sensitive goods,and further reveals that reducing the transportation costs,lowering the carbon emissions and improving the transportation reliability are conflict with each other.The intermodal operator can select a satisfaction level and a Pareto solution based on the customers'attitude on the three objectives to satisfy the customer demand and plan the transportation scheme to organize the intermodal transportation of time-sensitive goods.Through comparing with the carbon tax policy,it is proved that carbon tax policy has limitations while multi-objective optimization is feasible in planning the green intermodal route for time-sensitive goods.Through scenario analysis,the influence of the hard time window and capacity level on the intermodal routing for time-sensitive goods was summarized,which reveals the importance of a reasonable setting of the hard time window by the customer and the importance of capacity factor in establishing the intermodal network and planning the intermodal route by the intermodal operator.