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Research On Optimization Of Service Spare Parts Inventory Management Of L Company

Posted on:2020-08-07Degree:MasterType:Thesis
Country:ChinaCandidate:P ChenFull Text:PDF
GTID:2439330620457335Subject:Business administration
Abstract/Summary:PDF Full Text Request
In the context of traditional manufacturing enterprises to service-oriented transformation,service spare parts inventory of L company toke up a lot of capital,resulting in high operating costs.In this paper,the related research methods are used to study the service spare parts inventory management of the company,and combined with the related management theory and method.The optimization scheme for service spare parts inventory is developed.First of all,this paper introduced the current situation of the company's service spare parts information system,spare parts inventory,spare parts prediction system and spare parts supply chain scheduling system,investigated the status qua of service parts management in L company,analyzed The problems and causes of spare parts inventory management.Secondly,aiming at the problem of service spare parts inventory management in L company,this paper designed the ABC spare parts classification model based on AHP algorithm,optimized the bi-directional sharing operation mode of spare parts warehouse information flow,introduced the demand forecast of service spare parts based on the combination of LSTM network model and time series prediction model Based on the model,and then constructed a real-time scheduling algorithm of spare parts supply chain to reduce the capital cost of inventory spare parts under the premise of ensuring customer satisfaction.Finally,the paper gave the executable scheme from the aspects of insubstantial parts inventory classification optimization,spare parts data information completion,spare parts demand prediction model pilot application,spare parts Emergency Scheduling System Construction and spare parts inventory closed-loop management system implementation.
Keywords/Search Tags:service spare parts inventory management, AHP, spare parts forecast, LSTM, Spare parts supply chain scheduling
PDF Full Text Request
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