Study On Repair Component Inventory Control For Notebook Motherboard Of A Company

With the increasingly fierce market competition and the more transparent profit space of enterprises,we have to think about how to make enterprises obtain more long-term competitiveness.If we can’t change the external environment,the good way is to control it from the inside.Good inventory management and control is one of the important means to reduce the cost of an enterprise.As a part of inventory management and control,the speed of inventory turnover time,turnover efficiency and maintenance capacity are not only related to the occupation of a large amount of inventory funds,the increase of storage costs,but also the risk of depreciation and scrap of spare parts.The timeliness of maintenance will also affect the timely delivery of customer orders,and indirectly affect customer satisfaction.Therefore,how to balance the in and out inventory of maintenance,shorten the repair turnover days,improve the repair turnover efficiency,make the maintenance capacity break through the current bottleneck,and obtain a real capacity increase is an urgent problem for enterprises to solve.By using PEST and Porter’s five forces model to help understand the external macro environment of Company A,and then makes a comprehensive interpretation of the current situation of notebook motherboard maintenance management.From the interview,this paper finds out the problems that Company A currently has in the notebook motherboard maintenance inventory management,and finds an optimization plan to improve productivity and timeliness.This research expands the inventory management and demand forecasting theory to the computer maintenance field,and takes the motherboard with large inventory and amount as the research object to conduct time series analysis on problems in actual work to verify the universality of ARIMA model.The research found that ARIMA model is a simple model with accurate prediction and convenient modeling,which is suitable for all kinds of time series analysis and prediction and has strong randomness.By optimizing the purchase cycle parameters of parts,the company can stabilize the supply of purchased materials and improve the punctuality of materials;the improvement of the accuracy of motherboard demand forecast plays a role in balancing internal supply and demand,easing the management problem of company A’s overstock of maintenance parts inventory,improving the accuracy of company A’s maintenance demand forecast and shortening the number of days of inventory turnover of maintenance parts in stock,as well as improving the performance evaluation indicators of maintenance parts management,and strengthening the competitiveness of enterprises.