Research On Cost Optimization Of Handling Equipment In Electrolytic Aluminum Plant

At present,China's electrolytic aluminium plants are all over the country,and the capacity of electrolytic aluminium exceeds 30 million tons.However,due to the influence of many factors in the long-term development process,the scale and technology of electrolytic aluminium plants are obviously different.On the one hand,with the development of market economy,the original handling equipment of enterprises can not meet the current production needs.On the other hand,the utilization efficiency of loading and unloading equipment in enterprises is low.The unreasonable allocation of these handling equipment will lead to a certain waste of resources,thus increasing the operating costs of enterprises.Therefore,putting forward an efficient and reasonable loading and unloading plan for electrolytic aluminium plant can realize the optimal allocation of loading and unloading equipment in electrolytic aluminium plant.It is also an effective way to improve the transportation efficiency of electrolytic aluminium plant and reduce the operation cost.After reading a lot of literature on Optimization of handling equipment,refer to logistics park,railway express freight transport station(railway container center station),container sea-rail intermodal transport center and other places.This paper takes Lanzhou Branch of China Aluminum Industry as an example to study the cost optimization of handling equipment.The specific research contents include:(1)Analyzing the basic elements of equipment allocation for handling and handling equipment.Combining with the production characteristics of electrolytic aluminium plant,a mathematical model aiming at the lowest cost is established for the cost optimization of loading and unloading equipment in electrolytic aluminium plant.(2)Based on the analysis of loading and unloading equipment and its workload in electrolytic aluminium plant,an improved differential evolution algorithm is selected to solve the problem in view of the established mathematical model.Before solving the problem,five test functions are used to compare the improved differential algorithm with the standard differential evolution algorithm to verify the effectiveness of the improved differential evolution algorithm.(3)Taking Lanzhou Branch of China Aluminum as an example,the improved differential evolution algorithm is used to calculate the operation cost of loading andunloading handling equipment by MATLAB software,and the operation cost of loading and unloading handling equipment before and after optimization is compared.(4)Flexsim simulation model is constructed according to the results of MATLAB calculation,and the effectiveness of the optimization scheme is verified by the operation of the target model.Then,the optimized Flexsim simulation model is tested according to the upper limit of gantry crane's working capacity,and the bottleneck problem is analyzed and solved to further optimize the target.Through simulation research,we can see that using the optimization plan proposed in this paper can improve the utilization ratio of the loading and unloading equipment,reduce the logistics operation cost,and provide a reference for the optimization of loading and unloading equipment of similar enterprises.