Quality management in complex processes

An approach to complex process quality management is described. The entropy is offered for evaluating the technology status and product quality described by the measured values of process variables and quality specifications and for the quality indices described by stochastic variables, while the amount of information can be used for identifying the relationship between the technology and the quality. Two technologies are considered: the local one is related with the product unit, while the global one restrains its definitional domain. A self-learning quality control system is developed.