Digital twins are virtual representations of physical entities including objects, facilities, and processes. The cyber-physical space that compromises of the digital twin and what it represents facilitates the real-time exchange of data which provides a...
Read MoreThe concept of a ‘machine that thinks’ or an inanimate entity that thinks is traced back to the scientists of Ancient Greece who sought to imbibe objects with analytical capabilities. However, the success of the...
Read MoreThe introduction of Industry 4.0 in 2011 came with specific challenges. First, the proprietary equipment used within the average industrial facility needed unification to implement data-driven strategies required a solution. Secondly, a reliable means of...
Read MoreDigital transformation technologies are key enablers of modern Industry 4.0 workflows where automation is required to run traditional processes. For manufacturers, implementing industry 4.0 operational models starts with going digital and in many cases; the...
Read MoreDark data – this refers to the data collected from the shop floor that remains untouched or used to improve manufacturing output in any way. The average enterprise’s leaves 90% of its data sets untouched...
Read MoreAt the height of the pandemic, access to protective equipment such as masks and gloves, and the availability of test kits to improve tracing was at an all-time low. In a bid to secure citizens,...
Read MoreThe manufacturing industry is no novice to applying technology solutions to innovate, improve planning, and productivity within the shop floor. In the 60s’ the industry rode thewave of technology advancements and adopted time-keeping systems and...
Read MoreThe manufacturing industry is known for the large data sets it produces. These data sets include both structured and unstructured data from production processes and for a long time they went uncollected until the advent...
Read MoreImplementing digital transformation processes within the manufacturing industry has been an ongoing process for approximately three decades. First, manufacturers utilized digitization to collect data for storage purposes before moving on to more complex applications. Optimizing...
Read MoreRealizing the dreams of a fully automated factory floor starts with utilizing the structured and unstructured data captured from manufacturing processes. Once captured, data-producing sources and assets on the shop floor must be capable of...
Read MoreThe widespread adoption of Industry 4.0 business concepts shows that the future of business operations is automation. Robotic Process Automation (RPA) borrows a leaf from the automation playbook of Industry 4.0 because it involves the...
Read MoreAs the adoption rate of digital transformation within the manufacturing industry increases, many still struggle with differentiating between digitization and digitalization. Although both terms sound similar, that’s where the similarities end. Many who use digitization...
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