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ARC Advisory Group Again Acknowledges ABB as Global DCS Market Leader

In the “I’m not surprised” category, the ARC Advisory Group conducts market studies in the industrial and manufacturing market. For the 23rd consecutive year it has calculated ABB as the global DCS market share leader.

In a Distributed Control System market worth more than $15 billion, the official ARC Advisory Group report confirms that ABB has maintained its number one position with a leading share of 19%, as it continues to support the acceleration of digital transformation across industry. 

The report highlights energy transition and sustainability as key growth drivers for ABB. Growth also came for ABB thanks to the upturn in DCS segments across the pharmaceuticals and biotechnology which was generated by continued external investment in vaccines and medications. 

Advantive Acquires DataNet and PQ Systems

[Updated headline: darn autocorrect, anyway.]

I’ll be honest, the main reason I’m picking up this news is that I know PQ Systems located on the south side of Dayton, Ohio. Back in the early 80s I interviewed for a position there. It was not a fit for me, and I was not a fit for them. But it was an interesting company. I’ve never heard of Advantive. It looks like a software company on the move.

Advantive, a mission-critical software provider for specialty manufacturing and distribution businesses, announced December 6, 2022 the acquisitions of DataNet, a leader in Statistical Process Control (SPC), and PQ Systems, a provider of manufacturing quality and gage calibration software solutions. These acquisitions will expand Advantive’s current offerings in the manufacturing and distribution space, while allowing the company to continue delivering the highest quality solutions to its customers across industries.

Advantive, which comes together through the combination of Advantzware, DDI System, Distribution One, InfinityQS, Kiwiplan and VIA, has more than 2,500 customers today across a number of industries including corrugated and packaging manufacturing, equipment and supply wholesale distributors, and automotive and other specialty manufacturers. Advantive will be headquartered in Tampa, Florida.

With a global footprint across more than 2,500 facilities worldwide, DataNet’s flagship product, WinSPC, provides statistical decision-making and delivers real-time, actionable data to manufacturers, which will serve to complement Advantive’s existing offerings.

PQ Systems helps manufacturers optimize process performance and improve product quality with its two key product offerings. Both solutions, SQC Pack, an easily scalable SPC software solution, and GAGEpack, a calibration management solution, optimize the manufacturing process for customers.

Email Tips from Peter Diamandis

Futurist, X-Prize guy, longevity researcher Peter Diamandis appears in my email inbox regularly. This email about emails caught my attention. I receive about a hundred a day. Many are from PR professionals seeking attention for their client.

Evidently they all went to the same school and bought the same template. The subject line seldom tempts me. The opening paragraph attempts to set a context with a trend or recent news item. Then there are a couple of filler paragraphs containing generic marketing words. If I have stuck with it this long, by the fourth paragraph or so, they discuss a little of the product or solution with an invitation for me to publish a guest article (which I don’t do) or an interview that, if I’m lucky, contains five possible topics.

I know several things from this.

  • They have no personal relationship with me
  • They have not looked at my blog
  • They do not know what I write about
  • They do not know if I’ve covered the topic previously
  • They cannot come to the point

Therefore, I offer this summary of Diamandis’s post on emails. Visit his site for deeper analysis.

  • Keep it under five lines
  • Make the subject line unique, meaningful, and searchable
  • Use easy-to-read formatting
  • Put your specific action request in the first line
  • Make the ask really simple—make it hard to say “no”
  • If something is really urgent, don’t email—call or send a text

More Better, or Solving Better Problems

Engineers solve problems. Isn’t that what engineering school is all about in the end? Some classes push knowledge. Most of the classes are about solving problems. Most of those involve math.

In this week’s (January 11, 2023) Akimbo podcast entitled More or Less, Seth Godin discusses the paradox of more or less. If we search more on Ecosia, we cause more trees to be planted that will offset the carbon dioxide we pump into the air when we drive to work. As engineers working in manufacturing and production, we are encouraged to help produce more. But also with less waste. We know that some waste, say methane leaks around the facility, also contribute to climate change.

As Seth “rants” on the subject, his logic points toward “better.” Maybe in my life I don’t need more of something or to make do with less of something else. Maybe I need to pursue better. And better is not always more expensive. I like a good wine. Sometimes I’ve had some excellent wines that were very expensive. We like a wine imported from Spain that I buy on sale from my local beverage store for $9.00. It is great with our dinner or for sipping.

Let us consider that concept of better.

Are we solving the better class of problems? Or, maybe just more of the easier problems that might gain us a little recognition? Or, fewer problems because we are “quiet quitting”?

I suggest that we work on the big problems. The problems that matter. The better problems.

And if you are not listening to Seth Godin each week, you are missing stimulation for your brain.

Streaming Video Analytics AI Assists Industrial Engineering

Video as a sensor has been a topic for several posts here at The Manufacturing Connection. One notable case study involved detecting unwanted critters wandering into the facility when gates were opened to allow train cars to enter or leave. Machine vision has been usable since the 1980s to detect flaws, presence, and other quality issues, as well as to guide robots.

Anurag Maunder, CEO and founder, and Subbu Kuchibhotla, VP Growth and Development, of a new company in the video streaming market called Sensable.

They told me this is the first vision platform built for industrial engineering. Almost all current vision and video applications involve narrowly focusing on a part or a piece of a machine. The idea of the Sensable platform is to broaden the focus of the camera, or combine multiple camera, such that an entire operation or segment of the plant can be viewed, captured, and analyzed.

My grandfather told me of the time he was summoned to the front office of the GM plant where he was a production superintendent. The US had entered World War II and his plant was converting to production of aircraft armaments. Production ramp up was slow. Management picked him to organize things and get production up to expectations. 

He explained to 8-year-old me how he went up on the mezzanine and watched the process. Guys were performing a process, dragging a crate of parts to the next operation across the department, where the next operation took place, and that operator dragged the crate across the facility to the next operation. He told me how he organized the process to minimize material handling. That and other things boosted production and won the war—well, anyway, he did his part. And I learned a lesson.

Now imagine that you don’t have people to just stand and observe and take notes over three shifts a day for a week or so. What if you could position a few cameras in strategic locations. The video is captured and run through analytics. Engineers, operators, and managers would not have to  manually parse through hours of video. They would be presented with data visualization designed to help them get to root causes of problems, assist worker ergonomics, improve safety, and boost productivity.

That is what the Sensable solution does.

Imagine another scenario. You are an operator on a production line. You have been trying to point out bottlenecks to production on your machine. Then engineers install streaming video pointing not just at a specific point on you or the machine but with wide enough scope to see the larger process. The video analytics point out the bottleneck. Voila. Vindicated. Proof in the data. 

The video is not for spying on employees. It is designed to help them. Just what true digital transformation is—an aid to decision making and continuous improvement.

Key spots:

  • Missed throughput targets—station utilization lower than expected, unplanned downtimes more than planned
  • Low process efficiency—cycle time variability, too many interruptions
  • Low operations visibility—safety challenges due to best practices violations, missed inspection or assembly steps

Use cases:

  • Manage work area or assembly line—real-time feedback, identify bottlenecks, performance reports by shift/day, remote visibility-ideal for managing off shifts
  • Perform long duration time studies—data-driven Kaizen setup/changeover analysis, run/analyzed over weeks, compare across time and facilities, store metrics for Kaizen, perform SMED analysis in large areas
  • Identify missed inspection steps with 360 degree analysis—rapidly identify root cause of defects, search for video clips associated with product assembly
  • Achieve healthier, safer, well trained workforce—capture near misses and best practice violations, capture the impact of fatigue by measuring throughput at beginning and end of shift, capture and share the best practices for training
  • Build realistic engineering standards—capture data for the entire shift or multiple shifts before creating a standard to be enforced 

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