jidoka

MadridSeminar4-22-2019

Jun 10 2019

How Industry 4.0 Contributes to Operational Excellence | Lecture notes from Jose Ignacio Erausquin | Madrid, 5/22/2019

Jose Igacio Erausquin

At the invitation of our Spanish partner Asenta, Michel Baudin gave a lecture in Madrid on the ways Industry 4.0 does or can contribute to operational excellence. Industry 4.0 was presented as a stack of technologies — from direct machine control to knowledge management — with each layer relying on the layers below. Following are the notes taken by Asenta’s Jose Ignacio Erausquin, organized by layer.

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By • Automation • • Tags: , , , , , , ,

Mar 6 2018

Factory Of The Future | Daniela Costa | Goldman-Sachs

“The factory is getting a facelift, thanks to a raft of new technologies designed to make manufacturing more efficient, flexible and connected. Daniela Costa […] outlines three key drivers of this development, which could provide more than $500 billion in combined savings for manufacturers and customers.”

Source it from Goldman-Sachs

Michel Baudin‘s comments:

Thanks. I didn’t know Goldman-Sachs was the go-to place for manufacturing expertise.

The only departure from classical automation hype is the emphasis on human-machine collaboration. This topic had been ignored in the American and European approach to automation, with the exception of Working With Machines.

Otherwise, she used the word “significant” many times, probably to imply the existence of research and data behind her statements while saying nothing about what that research might have been. I am particularly curious about where the “$500B in savings” figure came from. It is given context-free, so we don’t know whether she means in Europe or worldwide and over how many years.

She also equated automation with the use of robots but that is common in the press.

By • Blog clippings • • Tags: , , ,

Nov 24 2017

Now It’s Humans Assisting Robots | Sheelah Kolhatkar | The New Yorker

Steelcase ology

“[…]As a zone leader, Stinson is responsible for about fifteen employees on a section of the production line that makes parts for Steelcase’s Ology series—height-adjustable tables built for the standing-desk craze. Until last year, the plant workers had to consult a long list of steps, taking pains to remove the correct parts out of a cart filled with variously sized bolts and screws and pins and to insert each one in the correct hole and in the correct order. Now computerized workstations, called ‘vision tables,’ dictate, step by step, how workers are to assemble a piece of furniture. The process is virtually mistake-proof: the system won’t let the workers proceed if a step isn’t completed correctly. We stood behind a young woman wearing a polo shirt and Lycra shorts, with a long blond ponytail. When a step was completed, a light turned on above the next required part, accompanied by a beep-beep-whoosh sound. A scanner overhead tracked everything as it was happening, beaming the data it collected to unseen engineers with iPads.[…] ”

Sourced through The New Yorker

Michel Baudin‘s comments: This is excerpted from a long article entitled Welcoming Our New Robot Overlords, from the 10/23/2017 issue of The New Yorker that caught my attention because it’s not about robots and it seems to be in the same spirit as Omron’s Digital Yatai back in 2002: using technology to eliminate hesitation and to mistake-proof operations that are too long or have too many variants to allow operators to go “on automatic” while performing them.

When repeating the same 60 seconds of work 400 times in a shift, operators quickly develop the ability to execute rapidly and accurately with their minds elsewhere. If on the other hand, the takt time is 20 minutes or the work is customized for every unit, the work requires the operators’ undivided, conscious attention and their productivity is increased by systems like the vision tables described in the article, that prompt them for every step and validate its completion.

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By • Press clippings • • Tags: , , , ,

Oct 27 2017

Jidoka At GE And Amazon | Marc Onetto | Planet Lean

“[…]The principle of Jidoka applies everywhere, especially if we come down to its fundamental intent: preventing bad quality from going down the line and impacting the customer, understanding the causes of a problem as it happens, and giving the employee the authority (and autonomy) to stop the line when an issue occurs.”

Sourced Planet Lean

Michel Baudin‘s comments: The experience of an executive like Marc Onetto is always a good read. What he recounts, however, has everything to do with the TPS approach to quality and nothing to do with Jidoka. Don’t get me wrong, I appreciate its value. I have seen plants where assembly work is continued on units known to be defective, with a repair area to fix them at the end. I have heard managers justify this practice with the mistaken assumption that it allowed them to ship faster and I have seen the improvements that result from stopping it, in line with what Onetto describes.

But we shouldn’t forget that Jidoka is not about employee empowerment but about automation. Regardless of whether it’s translated as “automation with a human touch” or “autonomation,” it’s still a form of automation. Onetto recounts being made to watch Sakichi Toyoda’s Type G loom stopping when threads broke but that’s not all it did. It also had automatic shuttle change, which solved the problem of what to do when shuttles run out of yarn that had bedeviled loom engineers for decades.

See Jidoka isn’t just about “stop and fix”, Jidoka versus automation, or check out Working with Machines

See on <Scoop it link>

By • Blog clippings • • Tags: , , , , ,

Jun 13 2017

Future of Lean: is robotic motion/transportation waste? | Christian Hohmann

Christian Hohmann

“Motion and transportation count among the 7 basic muda or wastes, that should be eliminated or at least reduced to their bare minimum in order to be leaner.

Now, with the probable rise of robotics, will robotic motion (and transportation) still be considered a waste?”

Sourced through Chris Hohmann’s blog

 

Michel Baudin‘s comments: It’s a valid question, but one that should be asked about handling and transportation automation in general, not just robots. It is also one that is not properly answered with the simplistic theory of value and waste that has been reiterated in the English-language literature on Lean for 20 years.

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By • Blog reviews • • Tags: , , , , , , ,

Apr 12 2016

Separating Human Work From Machine Work [Infographic]

Most of the work we do today involves interactions with machines. It is true not only in manufacturing but in many other business processes. The machinist works with machining centers, the pilot with an airplane, the surgeon with a laparoscopy robot, the engineer with a variety of computer systems,…, not to mention the automatic appliances that relieve us of household chores. In fact, I think that being good at working with machines is so essential that I wrote a book about it. For the short version, see the following A3/tabloid infographic. To enlarge it, click on the picture, and then on “View full size” in the bottom right-hand corner.

Separating Human Work and Machine Work

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By • Technology • • Tags: , , ,

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