Towards an information processing representation for dynamic process optimization in smart machining systems

Abstract

Smart machining systems (SMS) are an important part of today’s manufacturing companies. SMS include the use of diverse technologies that once integrated together, provide the capabilities of: producing the first and every product correct; improving the response of the production system to changes in demand (just in time); realizing rapid manufacturing; and, providing data on an as needed basis. Each technology uses information with its own representation. In order to integrate the technologies an SMS must enable the seamless flow of information between each technology and the part of the SMS that optimizes the performance of machining processes. This paper reports on the initial developments of an information processing representation for dynamic process optimization of machining processes within a SMS.