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Dashboards & Displays, Data Visualization, Process Manufacturing, Training

New training dates have been added so now is the time to register for your dataPARC training held in Vancouver Washington just across the river from beautiful Portland, Oregon. Whether you need to escape the heat of summer, the cold of winter, or just need to get away from the plant, our hands-on training is your ticket to a welcome escape. Oh, did we mention the training?

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Data Visualization

One of the challenges facing industrial process manufacturing is the growing number of data sources.

Examples of these data sources could be shift reports, process data historians, laboratory information management systems, or manufacturing execution systems. Being able to easily connect disparate data sources for decision-making is a key challenge in the age of IIOT. The lack of connection of these data sources and the creation of data silos is one version of the “big data” problem we hear about.

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Data Visualization

One of the challenges facing industrial process manufacturing is the growing number of data sources.

Examples of these data sources could be shift reports, process data historians, laboratory information management systems, or manufacturing execution systems. Being able to easily connect disparate data sources for decision-making is a key challenge in the age of IIOT. The lack of connection of these data sources and the creation of data silos is one version of the “big data” problem we hear about.

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Data Visualization

There are many different systems available for storing and analyzing manufacturing process data. A historian is a database application that provides a means of storing the data. Nowadays, historians are a commodity and sites routinely have multiple sources of data – everything from embedded historians in control systems to custom databases for specific purposes. The true value is in how the data is used, not where it is stored.

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Dashboards & Displays, Data Visualization, Process Manufacturing

Most modern manufacturing processes are controlled and monitored by computer based control and data acquisition systems. This means that one of the primary ways that an operator interacts with a process is through computer display screens. These screens may simply passively display information, or they may be interactive, allowing an operator to select an object and make a change which will be then be relayed to the actual process. This interface where a person interacts with a display, and consequently the process, is called a Human-Machine Interface, or HMI.

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Dashboards & Displays, Data Visualization, Process Manufacturing

Operating and troubleshooting a modern automated manufacturing process requires seeing and acting on hundreds or thousands of individual pieces of data. Digital control systems and plant-wide information systems have given us the ability to bring all of the data regarding plant status and performance to a single location. The challenge then is to create effective visual displays that allow the consumers of this information to easily understand and interact with the data.

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Data Visualization, Process Manufacturing

When it comes to operating a manufacturing process of any kind, everyone will agree that it is beneficial to have a lot of data. However, simply collecting and storing data does not, by itself, yield measurable benefits. In order to take full advantage of the data, it needs to be organized, archived and then made available in a variety of formats throughout a facility.

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Data Visualization, Process Manufacturing

The Pareto chart is a quality improvement tool that is based upon the Pareto principle, the principle that 80% of an outcome comes from 20% of its inputs. Vilfredo Pareto, an Italian engineer and economist, first observed the 80/20 rule in relation to population and wealth. At the beginning of the 20th century, Pareto noted that in Italy and several other European countries, 80% of the wealth was controlled by just 20% of the population.

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