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Jan 22 2017

Coaching Lean Without Knowing | Bob Emiliani

“I have long felt that people have listened too intently to the analysts who have not actually “played the game” – the interpreters of Toyota’s management system, not the people who actually created it. I think that it is easy for all to agree that someone who actually created something is a much better guide than someone who studied it second-hand.[…] Original sources are the best sources to learn from and should form the fundamental basis of your understanding of TPS and Lean. ”

Sourced through Bob Emiliani

Michel Baudin‘s comments: The originators of Toyota’s production and management system are all dead. This includes Sakichi, Kiichiro and Eiji Toyoda, Taiichi Ohno, Shigeo Shingo, and others, which makes it difficult to learn from them through personal communication. We can read what little they published, or rely on the generations that came after them. The people Emiliani shows to the right of Taiichi Ohno as “originators,” Fujio Cho and Chihiro Nakao, actually are disciples of the originators, which isn’t quite the same. As Emiliani sees it, the alternative to learning from these people is learning from “interpreters” who, as he implies in the title, don’t know what they are talking about because they had no hand in creating it. Are these really the only choices?

Continue reading…

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By Michel Baudin • Blog clippings, Uncategorized • 6 • Tags: Lean, Toyota, TPS

Jan 19 2017

Meaningful work for everyone ? Sorry…Lean can’t do that yet ! | John Dennis | LinkedIn

“It is disrespectful to workers for Management to make promises that they cannot deliver on. However there are presently some academics and authors in the Lean community who say that Lean transformation should provide ‘Meaningful Work’ for all workers. This phrase is setting too high an expectation for our workers…that we will not be able to deliver on…”

Sourced through LinkedIn

Michel Baudin‘s comments: I agree. Just Another Car Factory? Lean Production and Its Discontents is a chronicle of the early years of CAMI, a GM-Suzuki joint venture in Canada, which describes labor problems as due to management overselling Lean to production operators. As a manager, it’s one thing to overpromise to your superiors and another to shop floor operators. They don’t react the same way. Superiors reward you for setting “stretch goals,” and punish you if you only commit to what you can deliver. It’s the project game, as it has been played by generations in American managers. With shop floor operators, on the other hand, you lose your credibility and your ability to lead.

There is nothing you can do to turn a job in which you repeat the same 60 seconds of activity 400 times a day into “meaningful work.” You can make it easier and safer, you can mitigate the monotony by rotating operators between stations every two hours, and you can involve operators in Kaizen,… All of this improves both the performance of the production line and the experience of working on it, but it still won’t make working on an assembly line the kind of jobs kids dream of doing when they grow up. Dennis is right to say that overpromising to workers is disrespectful. They can handle the truth.

 #Lean, #RespectForHumanity, #StretchGoals, #Manufacturing

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By Michel Baudin • Blog clippings, Uncategorized • 12 • Tags: Lean, Lean manufacturing, Lean Production, Manufacturing, Stretch goal

Jan 9 2017

Routledge Companion to Lean Management | Ed. Torbjørn Netland

“It’s finally here. The Routledge Companion to Lean Management has been published. 72 leading authors from 15 countries summarize the need-to-know about lean, as it continues its spread from Toyota’s assembly operations to healthcare and beyond. ”

Sourced through Torbjørn Netland’s better operations blog

Michel Baudin‘s full disclosure: I am one of the “72 leading authors” of this book, as you can in the cloud below. I contributed and overview and case study on Lean Logistics. I have, however, not received my own copy yet, so I can’t comment any further.

 

#Lean, #RoutledgeCompanionToLean

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By Michel Baudin • Blog reviews • 1 • Tags: Lean, Lean management, Lean manufacturing

Jan 6 2017

The Lean Bucket Brigade – Part 1 | Christoph Roser | AllAboutLean

“Many topics in lean address how to deal with uncertainty and fluctuations (or mura for unevenness). There is a particularly neat trick for manual lines that self-organizes fluctuations in the workload: the Bucket Brigade! It does have some advantages, but it also has quite a few limitations and prerequisites for it to work. Most importantly it works best only for very short cycle times as for example picking materials. Unfortunately, these requirements are rarely mentioned in literature. Let me show you the basics work in this post before I go into some of the trickier details in the next post.”

Sourced through AllAboutLean

Michel Baudin‘s comments: The bucket-brigade system, also known as “bump-back,” is indeed a clever solution, often applied to mass-customization, as in the following examples of food service at Chipotle and Subway:

It is also used in the more complex process of custom bag assembly at Timbuk2 designs. See also John Bartholdi’s description and simulation of the system. The concept is discussed on pp. 141-142 of Working with Machines and, in this blog, as a sometimes preferred alternative to the baton-touch approach .

Incidentally, Christoph’s post-WW-II picture reminded me of a story I heard long ago about a hotel guest in Germany at that time complaining about hearing trains all night. “But there is no railroad near here,” said the innkeeper. Walking out, the guest saw a line of people passing bricks to each other, saying “Bitte schön, danke schön, bitte schön, danke schön,….”

#BucketBrigades

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By Michel Baudin • Blog clippings, Uncategorized • 2

Jan 4 2017

The role of your IT manager in your ERP replacement project | Tom Miller | ERP Focus

“Any ERP replacement project will need to have a team involved in selection and implementation of the ERP.  That team will have a project manager, an executive sponsor, several subject manager experts, one or more representatives from the ERP vendor, and, your IT manager.” (italics added)

Sourced through ERP Focus

Michel Baudin‘s comments: The notion of including a vendor rep in a team tasked with selecting an ERP product is interesting. To be fair, the article is about implementation — where it makes sense to involve the vendor — and the inclusion of selection in the opening sentence is most likely just sloppy editing. I hope no reader finds anything like it in my own writings.

#ERP

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By Michel Baudin • Press clippings • 0 • Tags: #ERP implementation

Jan 3 2017

Probability For Professionals

dice In a previous post, I pointed out that manufacturing professionals’ eyes glaze over when they hear the word “probability.” Even outside manufacturing, most professionals’ idea of probability is that, if you throw a die, you have one chance in six of getting an ace.

2000 years ago, Claudius wrote a book on how to win at dice but the field of inquiry has broadened since, producing results that affect business, technology, science, politics, and everyday life.

In the age of big data, all professionals would benefit from digging deeper and becoming, at least, savvy recipients of probabilistic arguments prepared by others. The analysts themselves need a deeper understanding than their audience.

With the software available today in the broad categories of data science or machine learning, however, they don’t need to master 1,000 pages of math in order to apply probability theory, any more than you need to understand the mechanics of gearboxes to drive a car.

It wasn’t the case in earlier decades, when you needed to learn the math and implement it in your own code. Not only is it now unnecessary, but many new tools have been added to the kit. You still need to learn what the math doesn’t tell you: which tools to apply, when and how, in order to solve your actual problems. It’s no longer about computing, but about figuring out what to compute and acting on the results.

Following are a few examples that illustrate these ideas, and pointers on concepts I have personally found most enlightening on this subject. There is more to come, if there is popular demand.

Continue reading…

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By Michel Baudin • Data science • 1 • Tags: data science, Manufacturing, Probablility, Randomness, Variability

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