Future Manufacturing 4.0: Toyota innovation, robotics, AI, Big Data. Futurist keynote speaker
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- čas přidán 25. 08. 2024
- Manufacturing innovation trends - how manufacturing is changing - Future of Manufacturing 4.0 Keynote Speaker. Lessons from Toyota assembly lines for fork lift trucks. How to optimise factory production with just-in-time and hundreds of small enhancements with huge total impact, using predictive analytics and Big Data. How to harness human genius in the workforce to make things faster and more reliably. Key manufacturing trends presented by Futurist keynote speaker Patrick Dixon - tour of Toyota factory site in Mjölby, Sweden.
This video was groundbreaking about 30 years ago
This has absolutely nothing to do with industry 4.0. This is just another factory tour talking about lean manufacturing and simple systems like robotics, AGVs, laser cutting and welding and andon. These have been around for decades. This is just a good example of how to put the basics together. Industry 4.0 is all about device level communications and how machine interact. However, if you are not up to speed with the manufacturing practices here (done pretty well), you should be focusing on Lean Manufacturing and not Industry 4.0.
Agreed. This guys a keynote speaker and has no idea what he is talking about.
I havent seen any of AI and Big Data usage
This’s more about lean manufacturing and have nothing to do with industry 4.0.
we get shit and useless wars instead of take care of humain
We couldn’t agree more Kal Ben! Hey check out our channel and let us know what you think!
Studying english to supplement and passing the course of foreing language industrial and commercial technician
Этим "инновациям" больше лет чем дяде на экране.
This system forcing humans to become robots to keep the manufacturing/production line continues. If you cannot be robot, than we make a robot to fire you with using fancy words like efficiency, optimization, reliability, sustainability etc.
Is there any field of mechanical or electrical engineering that works for human at the end of day?
Is there any area like engineering for nature/human to study ?
Let me get this right, you have a line going with 8 mins cycle time and you have only few hours of buffer on some parts? Yeah, there's being lean for the sake of efficiency and then there is being lean for the sake of management wanting to feel they have done great work. That's where all your line stoppages are coming from, non-existent buffers and lack of backups, everything you need to run efficiently has been "optimized" away.
Well said. Hey check out our channel and let us know what you think!
very nice video
Great video! "They're built like tanks."
👍🏻👍🏻👍🏻👍🏻👍🏻
This feels more like an add for Toyota than anything else ....
Too many health and safety concerns here....no safety glasses or safety shoes, np ear muffs or plugs. no signs or indicators. evidence of 5S or safety guards. They could do alot better as the future is bright.
hello can you post me a link the real life example of hyperautomation in manufacturing?
thank you before
That's not Industry 4.0
This is not industry 4.0
Well said!!!
They should improve more everyday,Kaizen-Japanese work ethic about everyday development
perhaps to improve some accident control items. For example. wearing safety glasses
Hanzhen harmonic drive gear , over 30 years experience in industrial robot arm gear reducer
Hello brother I'm from Cambodia 🇰🇭
You know Cambodia 🇰🇭?
TOYOTA Prius 2004-2009 price $20000
TOYOTA Prius 2017 price $50000
It price in Cambodia it very expensive for me,
Some workers get paid $ 177 a month. So they can not afford to go to the car
Nice work ma man!
I would love to work in a place like that, sir what do you think would prepare me better for it electrical or computer engineering? Ty
Electrical, mechanical, industrial, or computer engineering
also megatronics engineering
You have trumpf brand.....
Please wear a safety helmet next time you are standing below moving equipment. Safety first.
Any the noise level is ................edited out, nice try "just a few decibels"
Is Toyota into manufacturing electric cars and self driving cars already?
NO.
They partnered with Tesla the beginning of 2021
Now do Tesla Motors
Tesla is the #1 Industry 4.0 company in the world.
You should use safety helmet actually hhe 😁
This technology has been using for decades , this is not indsutry 4.0 ,this is 3.0 . I could not see IOT ,3 printing , Big data management , machine learning so on .
scorpion from Mortal Kombat 20
not sure what do you really have to celebrate .
Wear the helmet
is manufacturing 4.0 pioneered by japanese or german?
The original term is actually "Industrie 4.0" from the german word for industry. The term itself was developed in germany (mainly for branding reasons I would claim) but the concept behind, to enable higher flexibility in mass-production, is originating from car manufactures in germany and japan to a similar extend.
90% of it is just your typical BS consultants market for company managers, just another term to add to buzzword bingo along with "lean manufacturing", "six sigma" and all that crap. Most of this stuff pretends to be of German or Japanese origin because one holds an image of precision and efficiency and the other has hard working image and general eastern mystic allure. Helps to get companies to pay for BS consulting.
In fact, there is no "fourth industrial revolution", there is just better software and better data systems coming to production lines as it has been happening for decades. More data, more statistics, more monitoring, more adjustments and controls. Nothing special to see here, just more of the same.
@@AntonioInnocente Ah no, that's totally not what Industry 4.0 claims to be. It's more of about connecting everything to everything, gather data about everything and have everything being data driven. Which is in essence already being done where needed, just mostly without throwing around all the useless buzzwords.
Bringing AI into production is an entirely different thing, there is some of it being attempted, but very little in fact. There are two reasons for it, first you don't need to resort to AI for most industrial problems. AI after all is what you resort to if you can't solve a problem with conventional methods. Second reason is of course that AI makes mistakes, way too many for being useful for most industrial tasks.
AI is an incredibly powerful tool, but not in a way that it's better than conventional programming, it isn't. It's powerful because it can solve some tasks, that programmers themselves do not know how to solve. Beating go world champion with AI was a perfect example, Google programmers themselves were nothing special as go players. They could never had put together logic that would beat go world champion. But they managed to train AI to do it. But it's only spectacular because it's a problem that could not have been solved with conventional programming at all. For problems that can be solved with conventional methods, AI is almost always the worse option, less precise and much more resource hungry.
@@AntonioInnocente I wouldn't quite call it Big Data, the amount of data coming out of production processes is way less than what you would usually think of as "big data". There's really nothing revolutionary about Industry 4.0, it's just more of the same.
And AI is still not a significant part of Industry 4.0 sales pitch. Figuring out when it's time to do maintenance is by the way one of the rare few AI applications that are being worked on. I've seen an example from Festo for that, but it's kinda taking baby steps as of yet. The idea is that you record bunch of production data, train AI with it and classify it as "everything ok with machine" situation. As machine wears performance starts drifting in some direction and AI shows that situation is degrading. Good idea in principle, and you can also use it to flag suspect product samples and whatnot. But it's more complicated than that of course, unless you train AI with specific failure scenarios, it won't be able to tell what exactly is wrong, just that something is. Frankly, I think you can get better results with conventional statistical methods. But we'll see, it's kind of a new thing.
The other arena where AI is making somewhat of an appearance is of course machine vision, same logic, to filter out units that are just different in some previously unspecified way. That I think is actually a good idea because it allows you to catch unforeseen abnormalities. But again, it's a new application so I haven't seen it do it's thing in practice yet.
Lean Production was an American idea. The Japanese read the book and Toyota ran with it.
This guy is not me, and this is not Industry 4.0
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factory of robots building other robots
building other factories of robots
This guy just remain superficial. He does not exhibit any deep knowledge. Just a video to promote his keynotesessions. Anyway he got access to Toyota plant. It's basically lean and many companies have already implemented all these years back.
Agreed! Hey check out our channel and let us know what you think!
@@4.0Solutions already a subscriber. Very good content and explanation.
@@SandeepAsok thank you!!! 🙏
Like si vienes porque te dejaron de tarea hacer un reporte sobre este video xD
It's really bizarre that this person is conflating robotics (Industry 3.0) with cyber-physical robots, cobots, machine learning, big data, etc... They don't seem to know anything about Industry 4.0 whatsoever.
We couldn’t agree more Aberu! Hey check out our channel and let us know what you think! We talk about Industry 4.0.
Don’t Much of the machinery. Rather see your face the whole time. Next time try to do a better job
Mister futurist, for such misconduct (no helmet, touching components without gloves, no safety shoes) or to be under moving parts above your head in Sweden you are banned in every factory for life.
Trumpf brand
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