Research Information System
37th International Scientific Conference on Economic and Social Development - Socio Economic Problems of Sustainable Development, Baku, Azerbaijan, 14 - 15 February 2019, pp.566-571
Quality management should be carried out on the basis of a set of scientifically based principles. All of them can be divided into general, system-wide and special. Among all the system-wide principles of quality management it is necessary to pay attention to the implementation of general management functions. The structure of general management functions includes in the following functions: planning and forecasting, organization, motivation, control. The planning of product quality is the establishment of reasonable tasks for its production with the required values of quality indicators at a given moment or within a specified time interval. The planning for quality improvement should be based on scientifically based forecasting of needs of the internal and external market. The subjects of product quality planning are ultimately various measures and indicators that reflect both the individual properties of the products and the various characteristics of the system and quality management processes. The product quality management receives a lot of attention in all countries. In recent years, a new approach, a new strategy has emerged in quality management, which is implemented through strategic and long-term planning. Recently, one of the important areas of improving the quality of products in an enterprise has been the planning of the preparation of manufactured products (works, services), quality systems and production for certification. Quality forecasting is the process of determining the possible values of quality indicators in the future period of time based on the analysis of quality data obtained in the previous time interval. The main methods of forecasting quality are research and norm. The implementation of research and normative forecasting is carried out by the following main methods: extrapolation; multivariate prediction; expert; mixed. For solving of complicated problems of quality management, should be used complex prediction methods.