An application of the sampling theorem to data collection in a computer integrated manufacturing environment

Abstract

Abstract The manufacturing sector has instituted some major changes in factory floor operations over the last several years. These changes include the use of robotics, just-in-time inventory management, computer aided design, and computer aided manufacturing. Management controls, including financial analysis used for factory operations, are now undergoing similar innovation. This paper investigates the data collection process for cyclic operations in a factory environment from the point of view of information theory. This conceptual approach uses the Nyquist Sampling Theorem criteria to identify the impact on cost and accuracy of the data collection process.