A simulation-based quality variance control system for the environment-sensitive process manufacturing industry

Optimizing the process parameters with respect to the future environmental conditions is an immediate challenge for environment-sensitive process manufacturing industry to achieve more consistent production quality. In this paper, we propose a simulation-based quality variance control system consisted of three core components: an indoor environment calibration module, a quality prediction module and a simulation engine. We then demonstrate the use of this system by analyzing a typical manufacturing process consisted of four sub-processes. The studies show that the proposed system can achieve better performances by integrating a future indoor environment calibration module than that of without such module. In addition, the simulation-based method can provide more acceptable outcome which outperforms the collaborative filtering algorithm. Such system is feasible to be applied in real industry scenarios which are sensitive to environmental changes to precisely control the quality variances.