The Research On Warehouse Management Optimization Of After-sale Spare Parts Warehouse Of Enterprise S

With the growing development of real estate industry,development opportunities arise in household appliance industry.In order to meet the demand of consumers,enterprise S insists innovation and development and launches new products every year,welcomed by consumers.As a result,enterprise S has always taken the leading position in the entire home appliance industry.To a certain extent,the innovations of enterprise S promote the development of the whole household appliance industry.The increase in demand for household electrical appliances leads to the growth in sales of related spare parts.Faced with the diverse consumer demand,after-sale spare parts warehouse of enterprise S distributes kinds of spare parts to all over China.At present,the management status quo of the after-sales service,especially the storage management as well as cargo allocation is not enough to meet the actual needs.There exist problems,including delay in delivery and delivery errors,which decrease customer satisfaction as well as increase the cost.Through the investigation of operation process and management of the after-sales spare parts warehouse,this paper sums up problems of the after-sale spare parts management:(1)Unreasonable purchasing management:unreasonable storage management,some parts are out of stock while some over-purchased;(2)Unreasonable in the inwarehouse management:unreasonable goods allocation,unreasonable storage strategy leads to unreasonable goods allocation,gold positions occupied by non-A parts;(3)Low outbound efficiency:unreasonable picking strategy and style lead to low efficiency.Based on the background of the warehouse,the paper analyzes its inventory management,by using ABC method and VMI supply chain management.This paper is aimed to improve the efficiency of the warehouse from the perspective of the optimization of the location,as well as make the shortest selection distance the target for the establishment of the optimization model:the customers' needs lead to the warehouse operation,so it is necessary to extract the association rules among spare parts from the historical orders to guide the slotting optimization.The paper puts the frequency of warehouse frequency and demand correlations of parts between the correlation coefficient,extracted from historical data,into the model.Taking into account of the stability and volume of shelf,as well as the weight and volume of parts,the model is established.In addition,based on the status of non-standard storage management,the parts are classified on the base of the warehouse frequency with improved ABC classification method,and the storage area is divided based on the classification result.In this paper,the class-A parts is mainly studied.In principle,the class-A parts is stored in the area closest to packaging area.The detailed storage location assignment of class-A parts is based on the warehouse frequency and the demand correlations,which are put into the slotting optimization model.To obtain the approximate optimal solution,the paper uses genetic algorithm,MATLAB software to set up program.The storage location assignment of the other parts is based on the warehouse frequency.In order to verify the effectiveness of slotting optimization solution,this paper firstly puts out optimized picking methods and picking paths takes for pickers.Taking 30 consecutive orders for example,the paper compares the total picking time.As a result,the total picking time is cut down by 54.2%,indicating that the slotting optimization program and picking program is practical.