An upgraded control system has many benefits. However, the industry is plagued with control system upgrade myths and misconceptions. We explore the most common misconceptions and provide recommendations for mitigation.
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In spite of the challenges facing the global and local economy, systems integration expert, Iritron remains optimistic for the year ahead, and believes that there are significant opportunities to be found during a challenging economic climate.
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Balancing multiple electricity sources, to eliminate downtime at the lowest cost, is the holy grail for many companies. Why is this not very common, given our current electricity crisis in the country?
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As a platinum sponsor at the recent MESA Africa 2023 Summit, Iritron presented three papers focused on enabling smart technologies in the mining, manufacturing, and process industries.
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Iritron’s Gerhard Greeff and Neels van der Walt dive into the data haystack to discover how relatively simple it can be to find the proverbial needle.
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The team got ahead through its technical expertise and proven design methodologies, to ultimately reduce overall project risks posed by the supply chain bottleneck.
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The increased graphical abilities of software resulted in automation vendors developing increasingly advanced graphics capabilities in their products. Users were quick to adopt and use the ‘pretty pictures’. But a new way of thinking is starting to become prevalent, and vendors should be taking note.
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Years of study and implementation have proven numerous times that the detailed design and engineering process is a critical phase in a project.
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A structured way of organising work can help identify and resolve problems in an efficient manner before the implications have a chance to escalate.
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In the discrete manufacturing environment, a tool change or the reconfiguration of a production line is a major cause of production loss.
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Modern track and trace solutions are purpose-built to introduce as little disruption to the existing production process as possible, while also being flexible enough to cater for plants that range from fully manual to fully automated.
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Machine Learning is gaining popularity in the manufacturing industry as tools become easier to use and more cost effective.
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