With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …

Heat load prediction is essential to discover blast furnace (BF) anomalies in time and take
measures in advance to reduce erosion in the ironmaking process. However, owing to the …

Lacking the understanding of the first principles leads to the apparent black box attributes of
complex industrial processes. How to understand complex industrial processes from data …

An industrial process usually has multiple operating conditions or periods due to various
factors such as the fluctuation of raw material quality, differences of worker levels, and …

In discrete manufacturing, the knowledge about causal relationships makes it possible to
avoid unforeseen production downtimes by identifying their root causes. Learning causal …

Tool wear monitoring is crucial during machining of difficult-to-cut materials to save cost and
improve efficiency. In this paper, a tool wear–monitoring strategy was proposed for milling of …

To clarify the causality among process parameters is a core issue of data-driven production
performance analysis and product quality optimization. The difficulty lies in accurately …

As the last production link, the diesel engine assembly process (DEAP) significantly impacts
the quality consistency of diesel engine products. Therefore, the quality consistency …

Establishing an effective quality level prediction of diesel engines is of great significance for
controlling the production quality through subsequent process improvements and reducing …

In an assembly line system, the production process may suffer a sudden disruption, and this
may call for rebalancing. In this paper, the assembly line rebalancing problem is set in a …