The Study On Transportation Optimization Of TS Steel Materials And Finished Products

As the basic raw material industry of the national economy,the steel industry is an intensive production and processing industry with high resources,high consumption and high transportation.Under the initiative of implementing the major strategic national policy of "3060" double carbon target and resolutely winning the blue sky defense war,TS Steel actively explores the clean transportation steel logistics model system represented by electric heavy trucks,and has taken an important step in the green and low-carbon transformation and upgrading of private steel enterprises.Based on the whole-process production logistics transportation system of TS Steel,aiming at the characteristics of various types,heavy quality and large transportation volume of materials and finished products in the steel industry,and based on the green operation data of electric heavy trucks that are widely used at present,this paper analyzes,studies and optimizes the modeling of the vehicle dispatching path allocation problem,the regional multi-node and multi-path directed transportation path selection and vehicle dispatching path allocation problem of electric heavy trucks under the condition of time-divided train arrival in the whole-process production logistics of TS Steel.Based on the analysis and research of TS steel material green transportation system,this paper starts with solving the problems of vehicle transportation scheduling with different operation time of material yard,vehicle transportation scheduling with concentrated materials arriving at the station,and vehicle queuing congestion at the entrance and exit of the station and charging station.By establishing a large-scale integer programming model in different periods,the number of vehicles participating in the operation of electric heavy trucks,the operation path of electric heavy trucks in different periods and the allocation of charging times are optimized.Based on the analysis and research of TS steel products green transportation system,in order to solve the problems such as too many vehicles,too many empty cars,vehicles queuing in and out of the factory and charging stations under manual experience scheduling,an integer programming model is established by constructing a path task matrix,which realizes the path integration selection and path train assignment under the daily finished product transportation task.By establishing a multi-objective integer programming model,the number and charging times of electric heavy trucks participating in the operation under the daily finished product transportation task are optimized.Through the modeling and optimization of TS green transportation logistics system for iron and steel materials and finished products,the problems such as too many vehicles put into operation and centralized operation,congested roads,waiting in and out of the station,staggered path operation and many empty loads have been solved,and remarkable management and economic benefits have been achieved in vehicle operation and maintenance,traffic safety management and material transportation efficiency.It provides certain model experience and reference value for the green transportation logistics management mode represented by power heavy trucks that the iron and steel industry is actively exploring,improves the production and transportation logistics management level of iron and steel enterprises to a certain extent,and promotes the green,low-carbon and intelligent development of the logistics system in the iron and steel industry.