Uncertainty of Manufacturing Simulation

During mathematical simulation of real manufacturing system we can meet any type and rate model uncertainty. Its reasons can be incognizance of modelers or data inaccuracy. So, classification of uncertainties, with respect to they sources, distinguishes between aleatory and epistemic ones. The aleatory uncertainty is an inherent data variation associated with the investigated system or the environment. Epistemic one is an uncertainty that is due to a lack of knowledge of quantities or processes of the system or the environment. Aleatory uncertainty is primarily associated with objectivity, but epistemic uncertainty may be comprised of substantial amounts of both objectivity and subjectivity. Aim of the paper is to show types of manufacturing simulation uncertainties and methods used to investigate them. And a linear interval analysis method of manufacturing parametric uncertainties will be demonstrated.