| With the MTO model gradually becoming the mainstream production form in the market,the product variety,update is fast,the output is small,and the tool is used as an important resource for machining.How to improve the level of tool management in the production process of fast-paced and multi-line production,and allocate tool resources reasonably and effectively,becoming a difficult problem for MTO enterprises,and has important practical significance for improving the production efficiency of enterprises and the core competitiveness of the market.In this dissertation,the tool management in MTO mode is taken as the research object,the importance of tool management research is expounded,the research status of tool management theory at home and abroad is reviewed,and deeply analyzes the impact of tool life prediction and tool scheduling on tool management.Firstly,in order to determine the critical state of tool machining based on MTO mode,the tool wear degree is reduced in a variable production environment,the tool maintenance level is improved,and the factors affecting the remaining life of the tool are carefully analyzed.The traditional BP algorithm converges slowly and is easy to fall into the local area.With minimal shortcomings,a tool prediction model based on improved BP algorithm is established,which lays a foundation for subsequent tool optimization scheduling.Secondly,the tool residual life prediction result is taken as the factor affecting the tool optimization scheduling,and the constraint of the remaining life of the tool is fully considered.In order to achieve the purpose of reducing the production cost,the prioritized selection by weight,the minimum tool change times and the minimum tool remaining life are established.The tool scheduling model with variance is the target,and the effectiveness of the model is verified by genetic algorithm.Finally,based on the realization of tool life prediction and optimization scheduling,a tool intelligent management system based on C#+.NET platform and B/S architecture is designed to realize the integrated management of tools from procurement to use and final scrapping in MTO mode. |