Artificial Intelligence (AI) promises huge in-process savings through transparency, higher yields through real-time monitoring and control, and back end savings as (more…)
Significant advancements in technology (AI, Machine Learning, AR / VR, Cobotics, etc.) are underway across the manufacturing industry today promising to make everyone smarter. But, do smarter devices and equipment and systems mean your workers will be any smarter? (more…)
Manufacturing firms are embracing Digital Transformation and leveraging AI and Big (Smart) Data metrics to achieve greater efficiency and productivity on its shop floor. The interactions of the real and virtual worlds are the backbone of such smart production founded on the principles of Lean. (more…)
With the advent of Smart Manufacturing and the ability to easily connect devices within the manufacturing plant floor with Industrial Internet of Things (IIoT), a new challenge has emerged for IT workers. (more…)
As IT and OT environments converge and ICS environments continue to face even more advanced threats, a new approach is required. While total prevention of compromise is untenable, utilizing AI to detect (more…)
Smart manufacturing requires quick decision making. This means product and process performance needs to be monitored and provide enough data for trend, root cause analysis and prediction. (more…)
The greatest impact that artificial intelligence has is in decision support; any decision based on the analysis of data can benefit from predictive analytics, simulations and optimization. (more…)
AI enabled process control is helping foundries and automakers eliminate defects in completed products through the use of dynamic machine learning models. Predictive and prescriptive AI provide the necessary limits to control variables to preemptively avoid defects at every point of the production process, enabling real-time root cause analysis and corrective action suggestions. These corrective actions help foundries and automakers avoid cascading defects that previously resulted in costly scrapping, rework, and downtime. The implementation of AI process control translates into significant savings and ROI for heavy manufacturing companies. We will relate our experience in implementing AI for process control in the casting and automotive assembly sectors - both the successes and challenges we have faced.
The transformational potential of digitalization on manufacturing promises to shake up the manufacturing industry with new technology entrants emerging as slow to move incumbents fade. Already impacting other industries from (more…)
In the manufacturing industry, IoT is the enabler — connecting data to the machines, devices and materials across an entire ecosystem, and providing valuable intelligence to analyze the process in depth. (more…)
As the coming wave of automation increasingly drives efficiency, how prepared are workplaces to handle this new technology in a safe and reliable manner? Drawing from (more…)
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Enterprises and OEMs are drowning in a flood of real-time data from equipment, assets, suppliers, consumers, and business systems. Hidden insights have the potential to optimize (more…)
With the advent of IIoT, companies have the opportunity to put larger and larger volumes of machine data to work to optimize operations like manufacturing production, safety, security, and user experience. (more…)