服装缝制生产物料的低碳配送路径优化

为减少服装缝制生产物料配送环节的碳排放量,以及物料配送路径和作业人员数量不易确定的问题,提出一个以物料配送碳排放最少和配送车辆数最少为目标的多目标优化模型。以工序流程、机器种类、服装部件3种工作地布置方式的男式衬衫生产线为例,采用NSGA-Ⅱ算法对其物料配送优化问题进行求解。结果表明:3种工作地布置方式均需要4名作业人员进行配送;按照机器种类工作地布置方式的物料配送作业人员行走的总距离最少(2 979 m),产生的碳排放量也最少(0.157 kgCO₂e);按照服装部件工作地布置方式的物料配送作业人员行走的总距离和产生的碳排放量最多。通过算例验证了模型和算法的可行性和有效性,可为服装生产企业提供多种物料低碳配送模型。

Optimization of apparel material distribution route based on carbon emission

In order to reduce the carbon emission in the distribution process of garment materials,and solving problems in route planning and the determining the number of workers in the material distribution process,a multi-objective optimization with minimum carbon emissions and minimum number of vehicles was proposed.A men′s shirt production line with three types of floor planning according to process flow,machine type and clothing parts,was taken as an example.A multi-objective optimization model of material distribution path was established,and the NSGA-II algorithm is used to solve the problem.The results show that all three floor layouts require 4 operators to distribute.By comparison,the total distance of material distribution according to the type of machines is 2979 m,and the carbon emission was also the least,which is 0.157 kgCO2e.The total distance and the carbon emission of material distribution in the garment components layout are the most.The feasibility of the model and algorithm are validated through experiment,and a variety of material distribution models for apparel manufacturers are proposed based on this research.