Research On The Integrated Production Quality Management Method For Steelmaking Industry

Quality is one of the key factors with which the steelmaking enterprises could win in the fierce market competition.Along with the advent of advanced manufacturing patterns,quality management is stepping towards integration,informatization and intellection.Researches on the supported theories and methods of integrated production quality management are focused by both academic researchers and enterprise practitioners,and building an integrated production quality management system suitable for steelmaking industry is an urgent requirement for steelmaking companies to survive and develop.On the basis of analyzing the quality management theories and application status in steeimaking industries of both domestic and oversea,under the background of the application in Dalian Steel Plant of Dongbei Special Steel Group Co.Ltd.,an Integrated Production Quality Management for Steelmaking Industry (SIPQM) system framework and its implementation techniques are studied in this dissertation with systematic and integrated management ideologies.According to the MRPII/JIT integrated production organization pattern of steelmaking industry,an SIPQM system framework based on such production organization pattern is proposed,under which a three-layer quality management function model for ERP/MES/PCS structure is built,a quality management bascial information model based on quality BOM is proposed,and some vital techniques related to SIPQM system are illustrated.Utilizing the DFQ ideology,on the basis of analyzing the product features,machine abilities and production process characteristics of steelmaking enterprises,on account of the situations of varies and customized requirements,an incremental DFQ model under SIPQM is established,in which an incremental DFQ method based on QFD and knowledge reasoning method is proposed on the basis of the phased and modulized process and quality design for normal requirements.In view of the batch production planning feature of the steel industry,the integration process net model of lot sizing problem and quality designing is established,and a batch generation and optimization method for quality is proposed,a batch optimization model based on multi-constrained clustering is established,which is worked out through mutli-constrained PSO algorithm.The quality predictive control technique for steelmaking industry is studied.A quality predictive control method for both quality prediction and operation parameters optimization is proposed,which is based on the data mart model with the theme of quality predictive control for steelmaking industry.The quality synthetic index(yield) is selected to be the prediction object,and the related operation parameters is selected to be the control object,a rough set reduction and a PCA reduction are applied to probable factors,the related operation parameters are optimized in order to provide evaluation for DFQ result and decision evidence for quality improving during steel manufacturing processes.Finally,eombinating the SIPQM method and information technology,an information system under the SIPQM framework is presented based on the analysis of the quality management requirements of the ease enterprise.Related function models and information models are established,and the Object-Oriented designing method such as case analysis, process analysis and component analysis are presented.The SIPQM system is applied as one of the sub-systems in the Production Management system of the case enterprise,which is practically significant to the case enterprise at present.