Research On Service Spare Parts Inventory Optimization Of General Reducer For H Company

Service spare parts management is a very important part of the after-sales service of manufacturing enterprises.It has an irreplaceable position in after-sales service,and it is of great significance to optimize the management of service spare parts inventory.H company is a newly established subsidiary.There is no special spare parts warehouse.The general gear reducer service spare parts management belongs to the after-sales service department.When the general-purpose reducer fails and requires after-sales maintenance,there are often cases where service spare parts or missing parts in the warehouse are not found,resulting in high inventory costs.Through such a phenomenon,it can be found that the company only uses the traditional ABC classification in the service spare parts classification,only considering the capital occupation without considering other important influencing factors,resulting in unreasonable classification,unable to identify important spare parts for key management;Only the data of the first three months is used as the basis,which results in low accuracy of service spare parts prediction,thus affecting the order quantity.In view of the above problems,this thesis mainly studies the following contents:(1)Research on the classification of service spare parts for general reducer of H company.The improved ABC classification method based on AHP is used for classification optimization,and the six indicators of occupancy amount,lead time,universality,shortage effect,number of suppliers and criticality are used as criterion indicators.Among them,for the key degree indicators,this thesis introduces the classification experience model,and divides the key levels into high,medium and low from the perspective of maintenance and logistics.Finally,the service spare parts are divided into important service spare parts,sub-important service spare parts and non-important service spare parts.Three categories.(2)Research on the demand forecast of service parts for general reducer of H company.BP neural network method was used to optimize the demand forecast of H service important spare parts,and six factors including historical demand,related service spare parts demand,overall trend,periodicity,spare parts replacement and failure factors were selected as the neural network input..The study found that the prediction results were more closely fitted to the actual results.(3)Research on ordering model of service spare parts for general reducer of H company.Based on the research of the target model and the constituent factors of the ordering model,an inventory ordering model with the minimum total inventory cost as the target and the service level and storage capacity as the constraint is established for the three important service spare parts,and the service level and the stock-out cost are considered.The impact of the relationship.The genetic algorithm is used to solve the model,and the results show that both the order quantity and the inventory cost are reduced.The purpose of this thesis is to provide reference for H company’s general reducer service spare parts inventory optimization management.