Research On Material Handling Improvement Of Heavy Iron Casting Products

In the seven major logistics activities,material handling has the highest frequency,which consumes more time and labor.Relevant statistics show that material handling time occupies 30%～40%of the total production time in the production process of manufacturing enterprises and handling costs account for 35%～55%of total production costs.The heavy iron casting products are larger in weight and volume,leading to difficulties in material handling and higher costs,therefore the improvement of material handling play an important role in enterprises management activities.Taking D company which produces iron casting products as an example,this paper analyzes the existing material handling status in the factory and finds that the materials in the workshop are waiting for the lifting phenomenon,the material handling route between the workshops is repeated,and the transportation vehicle loading rate is low.The material inside the workshop is awaiting the phenomenon of lifting,which can be attributed to the low scientificity of the existing manual dispatching plan,and the problem of repeated material handling routes between the workshops and low loading rate of transportation vehicles can be attributed the unreasonable path planning.Then it is proposed that material waiting for lifting optimization and the material handling path optimization between workshops.In the material waiting for hoisting optimization plan,handling of the workshop is more time-sensitive because all material handling is achieved by cranes.The dispatching of the crane will influence the completion time.The delay material processing will increase the number of visits to the workshop by the handling vehicle,resulting in repeated transportation.Therefore,crane dispatching model is established to reduce the total lifting time of the materials and wait for the lifting time including the lifting task selection rules,the crane position update rules and the conflict resolution rules of the adjacent day workshop.The result of simulation and genetic algorithm shows that the optimization plan can reduce the total waiting time of the task by 32.97%.In the material handling path optimization plan,considering the access point service time constraint and the truck capacity constraint,the vehicle scheduling is established to minimize the total cost incurred in handling tasks.The improved genetic algorithm is designed to solve the problem.The result shows that the optimization scheme saves 28.5%of the vehicle mileage and reduces the delivery cost by 37.5%.The above research results show that the proposed optimization scheme is effective for the improvement of D company’s existing handling problems,which has certain reference value for the operation and management of similar enterprises.