The effect of disparities between real and simulated worlds on decision-making

High accuracy in information provisioning systems is often strived for by manufacturing industry, without necessarily yielding commensurate improvements in the decision-making process. This paper explores disparities between real-world measurements and digital simulations based on a case study with soft grippers. In this research, it is demonstrated that establishing a better understanding of parameter sensitivity and highlighting the accuracy required for decisions is more relevant to the decision-making process than aiming for achievable accuracy. Consequently, this approach of seeking required accuracy requires less investments and will lead to more efficient and effective decision-making in manufacturing environments.