A Pharmaceutical Industry Repair And Maintenance Spare Parts Management Research Based On Neutral Network And Supply Chain Theory

It’s vital important for equipment spare parts management to modernproduction companies when they rely more on its production facilities. Spareparts are guarantee of continuous production. Lack of spare parts would makethe faulty components cannot be replaced on time and production stop wouldresult in significant losses. Spare parts inventory directly occupied liquidity.This thesis made a systematic research on mechanical spare partsmanagement method used in modern chemical pharmaceutics producingcompany. This thesis tried to find a systematic method to solve this problem.This research answered two questions–which spare parts should be in stockand how many it should be stocked. The answer of these two questions hadpractical significance.This thesis would use artificial neutral network (ANN) to classify spareparts into two categories–in stock and not in stock. This methodology wouldsolve these two problems mentioned above. It also used a simply way tocalculate the spare parts demand rate, and it partly solved the problem ofinsufficient data record which happened in most production company. It usedclassification method to calculate basic class demand rate which classified similar property, similar function and similar work condition spare partstogether as a class.This thesis used demand rate to calculate the expected spare partsdemand, and used the lead time demand as re-order point which calculatedbased on demand standard division and service level. It also suggested usinga certain time period expected demand as the highest inventory stock level.This method systematically answered the questions of stock management.This thesis answered the questions of spare parts stock method and stocklevel systematically which was important in spare part management policythrough classify spare parts and calculate the safety stock and highest stocklevel. It has practical significance.