Research On Process Knowledge Management And Some Key Techniques

With the development of informationization, intelligentization, networkization and digitalization in manufacturing enterprises, the role of knowledge management (KM) in manufacturing enterprises are becoming more and more important. Process knowledge (PK) exists through the full life cycle of products, such as product planning, design, manufacture, assemble and service and it decides the living and developing of enterprises. Process knowledge management (PKM) is fundamental and key work in enterprises and is the premise of CIMS, CE, LP, AM and ERP etc.The thesis is centered on PKM of enterprises and deeply researches the framework of PKM system in network environment and its key techniques. It includes the following parts:1. PK is classified and coded using surface classification method and a PK classification and coding system is constructed according to full life PK of product.PK is very complicated and abroad, and at the same time it is the intersection of multi-subject, so it is difficult using traditional line classification method. In this thesis, PK is classified using traditional surface classified method firstly. Then line classification method is employed in each tier. Supplement is used in line classification method. Therefore, all PK is included without intercrossing. Meanwhile, four-part flexible coding technology is employed, which makes PK standardization and creates good conditions for future representation, storage and knowledge mining. So it does for the informationization of enterprises.2. PK information model and storage technology are researched under data-warehouse environment.An enterprise level PK data-warehouse is constructed based on the above two work. The data-warehouse employees the combination of snow model and star model. Some data marts are framed as required for data analysis and data mining. The storage of data-warehouse is the combination of integration and distribution. The great amount of knowledge that is often visited frequently is located in server. Others are located in clients. This method can increase retrieval speed greatly and save storage space.3. PK reasoning and quick inducting technology is researched.Knowledge base and knowledge reasoning is necessary work in studying KM. In this thesis, prototype theory and prototype based reasoning is researched. It provides a new method for CAPP in process planning. In addition, relational database based machine selection and rig selection technology is studied. At the same time, Petri net model is employed in modeling time workflow problem.4. The application of data mining in PKM is researched.There may be a great deal of knowledge existing in the data sea. They are latent and connotative. Only data mining can make them illustrious. In this thesis, grey association analysismethod and GM forecasting is used to mine abrasion problem of cylinder sheath of diesel engine. It is very important to guide the using, maintenance and after-sale service of diesel engine.5. PKM level evaluation indexes are put forward.As PKM is in underway state, many enterprises do not know how to set out. They do not know what level their enterprise in. A practical PKM evaluation indexes is put forward after great amount of investigation. It can evaluate enterprise in time and point out its developing direction, hi addition, fussy evaluation method and neural network method are combined together to make evaluation result more scientific and reasonable. As each enterprise has its own instance, the indexes can be deleted and added. Entropy weight concept is employed to decide indexes.6. A web-based framework of PKM is constructed.A web-based framework of PKM is constructed employing above research results. The system is developed using Asp.net and Sql-server. XML technology is used to communicate with other knowledge system. The system has such functions as PK collecting, PK communicating, expert consulting, PK inquiry, PK inducting, PK reasoning, manufacture site management, work-procedure quality management, machine management, after-sale service and so on. It also can evaluate the level of PKM and helps enterprise make it clear and locate its developing direction.