10 Reasons for Industrial Manufacturing Managers to Run Their Plants Differently
Honestly, given what 2020 has thrown out to the world and given the uncertainty of what 2021 will bring, most industrial manufacturing organizations can’t just say they’ll ride it out until the end of next year. They probably realize that they have to up their game if they’re going to compete and survive in their markets and continue to operate into the future. And given the increase in costs and decrease in profits, there is no room for operational inefficiency and waste. There just isn’t. The goal for an organization is to establish operational excellence day in and day out and that means they must be able to make fast data-driven decisions about running their processes and solving their process challenges.
Plants are continually capturing data……. and then what? What to do with all that data? How to use it to be able to solve problems, make data-driven decisions, obtain operational excellence, and meet business targets?
Many organizations are still using Excel to optimize process and asset performance and the reason they usually say is “We’ve always done it this way…. And it’s working alright.” Folks, that’s change resistance.
So here are 10 reasons for you to do things differently – 10 reasons to motivate you to change your mind, ditch the spreadsheets and the “We’ve always done it this way” mentality, and embrace the new solutions like self-service analytics.
What is self-service analytics?
Self-service analytics is a way to perform analytics that can be used by individuals at any level, not just data scientists, to make sense out of data and is one that is also easy to plug into the system, easy to learn, easy to use, and easy to understand. This tool uses pattern recognition and machine learning to make sense of data giving experts a more thorough understanding of plant operations, so they can make better decisions. Learn more here.
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The need for change is clear.
There are tremendous pressures on industrial manufacturing organizations due to COVID 19 disruptions, high competition, inefficient operations, and increased costs and regulations, to name just a few. Organizations need to operate at the next level or higher.
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The risks for standing still rather than moving forward into the future are great.
Organizations that do not embrace technology run the risk of not being able to maintain their operations now and in the future. They simply won’t be able to compete with organizations that have moved forward with technology.
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The technology is proven.
Hundreds of industrial manufacturing companies in many fields such as Oil & Gas, Chemicals, Pharmaceutical, Food & Beverage, Water & Wastewater, and Metals & Mining have adopted self-service analytics and have achieved operational excellence resulting in increased profits. Their plants are daily testaments to the software’s capabilities.
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The competence in self-service analytics is established.
This software was written by engineers who understand manufacturing processes for process experts. The engineers who wrote the software have both analytics and process skills and have transferred this expertise into a specific tool for industrial manufacturing.
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Process experts can do their jobs better if they could monitor their processes more efficiently.
They need to understand more fully what is going on and what might potentially happen. They can monitor processes by analyzing both time-series and contextual data to get the complete understanding of the process.
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Process experts can solve their challenges faster and more accurately.
Using a self-service tool will allow experts to analyze the data for root cause analysis and to make data-driven decisions. Solutions will be based on real-time data, and not just hunches, so will be accurate. And since this software can analyze years of data in seconds, process experts will get solutions faster than they ever have.
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Process experts can have much better and clearer communication about what’s happening with the process.
Since monitors can be set, all personnel responsible for the process can receive email alerts when there is a deviation or when there is a potential for deviation. That way all relevant personnel, no matter where they are (in a meeting or home on the weekend), can receive communication about the process. Additionally, they can communicate process contextual information to all team members through the software, so it does not get lost in Excel sheets.
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Customer support and training are in place.
By empowering each process expert with self-service analytics, training of the new tool is needed. This can be done by self-education or by learning from experienced trainers.
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Best practices for implementation are well established and proven.
TrendMiner has extensive knowledge and experience in helping organizations adopt their self-service analytics and are familiar with the common challenges and solutions. They have well laid-out plans for adopting and using their software, and given their innovative approach to problem solving, collaborate extreme
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The value is substantial and quick.
This software can be used to analyze, monitor, predict, visualize and contextualize your process. You’ll increase efficiency, so you’ll reduce costs and waste, improve asset management, achieve regulation and environmental adherence. And of course, you’ll see an increase in profits. Ultimately, your team and your plant will be functioning at a higher capacity.
Not all Change is Bad
Yes, you might have been running your plant the same way for a long time. But that doesn’t mean there isn’t a better way to run your plant and solve your process challenges. There’s a much better way.
The answer is to use a self-service analytics software that can be used by your process experts, so they can make sense out of all your plant’s data. You’ll empower the people who know about the process to do their jobs better and faster. They’ll be able to use this software to analyze your plant’s data to its full potential. Your process experts will be able to make data-driven decisions and as a result get your plant operating at its maximum, day in and day out.
