This paper presents a smart supervisory framework for a single process controller, designed
for Industry 4.0 shop floors. This digitization of a full supervisory suite for a single process …

Anomaly detection for processes with closed-loop control has become a widespread need in
Industry 4.0 shop floors. A major challenge in monitoring such processes arises from the …

Multistage statistical process control (SPC) is an effective procedure for ensuring quality of
products in multistage manufacturing processes. Effective SPC approaches for monitoring …

This paper considers a two-step monitoring scheme that is used to jointly monitor process
and product characteristics for manufacturing quality improvement. The two-step monitoring …

In this study, we determine the optimal manufacturing quantity for an economic production
lot-sizing model with a defective rate and preventive maintenance for a manufacturing …

For decades quality management has been developed based on the statistical techniques
and quality improvement activities. This was achieved through better understanding of …

This paper proposes a method of manufacturing process improvement for subcontracting
production. A framework is developed. The control flow of the method is also developed. The …

This paper presents a method for production process control for aero engine part
manufacturing based on product quality problem identification and statistical process …

The traditional system for estimating lifespan of machining tools is based on the FW Taylor's
equation that uses fixed cutting factors. In this paper, an integrated model is proposed to get …

Multistage statistical process control (SPC) is crucial to ensure the quality of the final product
in multistage manufacturing processes. The output variables of a stage are input to the …