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Essential MES Tool #1: Overall Equipment Effectiveness

Until you achieve maximum production efficiency, continuous improvement should be an integral part of your business. With manufacturing execution system (MES) tools, you can bring efficiency to your organization through streamlined data flow, which will increase your production capacity without the capital expense. And, rather than embarking on continuous improvement initiatives that may or may not benefit your organization, you can use MES tools to show where your efforts will be best spent. This is the first post in a nine-part series that examines what we believe are the most essential MES tools to improve business performance.

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Seeq Data Analytics: Compressor Efficiency Example

We talk a lot about data and analytics in our industry today with the goal of finding and rooting out waste and inefficiency in our plants. Until recently, however, the benefits of big data have been limited to very large enterprises that can afford custom solutions. Seeq's data analytics package is changing all that with their reasonably priced, but very powerful data analytics tool. In this post, I walk you through the process of analyzing cooling system compressor efficiency using Seeq.

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6 Tips to Delivering a Successful MES Project

A successful MES project has the potential to deliver huge efficiency improvements that can boost production and save money. Critical steps along the way such as how you plan your project, map your process, leverage actionable information, and design your user experience can make or break the success of your project. Here are six strategies you can put into action right now to improve your MES implementation.

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Choosing the Right Industrial Data Analytics Tool

Most manufacturing organizations have data in process historians or more traditional databases that can provide significant insights if analyzed with the right tools. Software tools that specialize in reporting, dashboarding, analytics, and/or visualization can provide valuable information to improve operational efficiency in manufacturing and processing environments.

There are a myriad of tools available today for industrial analytics. Some of these tools come from traditional automation software providers, but many come from companies that we are more used to seeing in the office. Here are a few products we have run across that provide an idea of what is out there, and hopefully will provide a starting point for further exploration.

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MES is Ready for You, and it is Attainable

Manufacturing Execution Systems (MES) have been the secret advantage of large manufacturers since the early 90’s, and they have reaped the benefits of lower manufacturing costs and higher profits. The good news is that everything has changed in the last decade. Whether you call it a technological revolution, Industry 4.0 or some other buzz word, it can’t be denied that a change is occurring. Software and protocols have improved drastically, automated data is available from all areas of the facility, and the financial entry point for MES systems has become attainable. 


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Counting the Cost of Manufacturing in the Cloud

According to the IDC market research firm, public cloud services and infrastructure are forecasted to become a $277 billion worldwide market by 2021, with discrete and process manufacturing as two of the top five industry consumers. Cloud computing is not just a passing trend. It’s a foundational technology that has the power to improve product quality, accelerate decision making, and cut costs – all scalable to your business’s needs.

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Getting Started with Siemens MindSphere IIOT Platform

Siemens MindSphere is a cutting edge industrial Platform as a Service (PaaS) product that takes a lot of the work out of building and deploying IIOT applications. Siemens bills MindSphere as "the cloud-based, open IoT operating system from Siemens that connects your products, plants, systems, and machines, enabling you to harness the wealth of data generated by the Internet of Things (IoT) with advanced analytics." Vertech recently became a MindSphere Solution Partner, and here are a few beginners tips our developers learned as they got started using the platform.

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5 Steps to Getting Started with Manufacturing Intelligence

In the current age of information, organizations of all kinds are increasingly collecting and analyzing large amounts of data on everything from production information to client buying behavior and preferences. These data sets are big. Very, very big. And that’s the scientific reason we call them “big data.” More technically, big data is any high-volume, high-velocity, and high-variety informational asset.

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5 Design Considerations for Edge Computing

In the Industrial Internet of Things (IIoT) world, there’s been a lot of buzz around edge computing and its practical applications. Industrial automation systems are naturally edge computing solutions due to reliability and speed requirements. Automation systems can be viewed as "things" in the IIOT. For those architecting enterprise analytics or MES systems, however, the decision of where to locate data collection and analysis resources in a network architecture gets a little more gray.

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The Role of MES Software in the Digital Factory

As your organization prepares to morph its facilities into a digital factory, it is important to understand how tools, such as manufacturing execution system (MES) software, can help manage these changes. MES integrates all databases, machines, and people within your plant into one cohesive, interconnected system that eliminates islands of information, such as handwritten paperwork, whiteboards, Excel spreadsheets, and isolated software systems.


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