Why viewing MES not just as a monitoring tool but a data contextualizer is critical to digital transformation, as it provides meaning to disparate machine and sensor data. How integrating control and ...

Despite increasing signs of overlap between SCADA (supervisory control and data acquisition) and MES (manufacturing execution systems), the two automation mainstays are more likely to co-exist as a ...

The aerospace and defense manufacturing sector has a vast and complex supply chain – so it’s not a surprise that network the focus of the latest technological efforts to improve manufacturers’ ...

Industry 4.0 focuses on how automation and connectivity could transform the manufacturing canvas. Manufacturing execution systems (MES) with strong automation and connectivity capabilities thrived ...

Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

To cope with a tightening economic environment, businesses should prepare now for cutting IT costs, and the data management discipline is one area that affords numerous opportunities for reducing and ...

Every data integration initiative-whether it supports better decision making, a merger/acquisition, regulatory compliance, or other business need-requires a set of processes to be completed before the ...

Data quality management is a crucial part of any data integration process. It may be considered the first step to the integration process, as quality data is the key to achieving profitable insights.