HighByte Blog
Read company updates and our technology viewpoints here.
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Read company updates and our technology viewpoints here.
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Time to read: 6 minutes Data modeling is all about standardization. It enables interoperability, shows intent, determines trust, and ensures proper data governance. Given the criticality of usable data at scale for Industry 4.0, many manufacturers have turned to ISA-95—probably the most commonly recognized data-modeling standard around the world—for guidance. Created by a standards committee at the International Society of Automation, the ISA-95 specification defines in detail the electronic information exchange between manufacturing control functions and other enterprise functions, including data models and exchange definitions. The purpose of ISA-95 is “to create a standard that will define the interface between control functions and other enterprise functions based upon the Purdue Reference Model”. Per the committee, the goal is to reduce the risk, cost, and errors associated with system integration. Historically, ISA-95 has been the guide for many off-the-shelf and bespoke manufacturing execution systems (MES). Today, ISA-95 also helps industrial organizations implement data integrations that link MES, enterprise resource planning (ERP) systems, IIoT platforms, data lakes, and analytics solutions. It also eases the implementation of a unified namespace (UNS) for enterprise data integration. The specification defines a hierarchal model for systems, detailed information models, and a data flow model for manufacturing operations management (MOM). Let’s take a look at these 3 key attributes in more detail and uncover how the ISA-95 specification can be applied within HighByte Intelligence Hub. Time to read: 7 minutes Based on my conversations with more than 500 manufacturing companies and integrators over the past five years, I believe the Industrial Internet of Things (IIoT) will continue to be a paramount part of the manufacturing landscape in 2021. The new year will bring a continued increase in digitalization across enterprises. While we have seen an increase in “digital transformation” initiatives among manufacturing companies for several years, the COVID-19 pandemic and the challenges it created for production, safety, remote access, and supply chain have accelerated the urgency to make digitalization a reality. I also believe IIoT projects will continue to scale because of changes we are seeing in people, processes, and technology. Here are five predictions for 2021. Time to read: 4 Minutes Communication within a start-up is pretty straightforward. If you have a question about a new product launch, you go directly to the owner or CEO. Problems with a design flaw? Talk to your lead engineer. As that business scales, your lines of communication become more complex. You may need to send information through multiple channels to get an answer. Without an easy way to send or retrieve information, it might get lost or misinterpreted or you may wait days for an answer. Anyone who has worked in that environment knows the inherent challenges.
Time to read: 4 minutes
Bill is leaving Acme Manufacturing Corporation. And when Bill leaves, he will take with him a tremendous amount of the tribal knowledge that he accumulated over the last 10 years at Acme. Bill has spent the last decade building out all of the industrial data systems and all of the individual connections between these disparate systems. Bill is the only person in the entire facility who has knowledge of the custom connections and interdependencies between OT and IT systems. With Bill leaving, the team at Acme is challenged with picking up the pieces and trying to gather up all of Bill’s tribal knowledge in order to maintain connectivity and prevent system downtime. The OT and IT teams must go deep into the custom code to try to understand and replicate what Bill has done. This is a challenging and cumbersome task, especially when troubleshooting broken integrations.
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