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May 5 2016

The Downside of Six Sigma | Don Peppers | LinkedIn Pulse

“Revered for decades as one of the world’s most innovative companies, 3M lost its innovative mojo when it began using Six Sigma to try to improve its operational efficiency. James McNerney, the CEO named in 2000, was a Jack Welch protégé from GE. He introduced the Six Sigma discipline as soon as he took the helm of the firm, streamlining work processes, eliminating 10% of the workforce, and earning praise (initially) from Wall Street, as operating margins grew from 17% in 2001 to 23% by 2005.

But when McNerney tried to apply the Six Sigma discipline to 3M’s research and development processes it led to a dramatic fall-off in the number of innovative products developed by the company during those years.”

Sourced through Scoop.it from: www.linkedin.com

Michel Baudin‘s comments:

Don Peppers describes “eliminating 10% of the work force” as part of implementing the “Six Sigma discipline,” but I don’t recall seeing anything on that subject when learning about Six Sigma.

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By Michel Baudin • Blog clippings • 1 • Tags: innovation, Rank-and-Yank, Six Sigma

May 2 2016

Three Ways Big Data Helps Manufacturers Think Bigger | Industry Week

“Here are three ways Big Data is helping manufacturers think bigger than ever before:

  1. Monitoring Product Quality Proactively
  2. Seeing the Future—and Changing It
  3. Getting Customers into the Data-Collection Game”
Sourced through Scoop.it from: www.industryweek.com

Michel Baudin‘s comments:

Manufacturers already collect data by the gigabyte, including metadata, plans and schedules, status, and history. It’s not big data. It’s tiny when compared to the daily terabytes generated by transactions on Amazon or eBay, but it is still ample fodder for analysis, that is woefully underutilized.

The current databases contain information about trends, cyclical variations, product mix, and quality issues that most manufacturers do not currently extract. In such a context, I see an effort at improving analytics on existing data as a more relevant challenge than multiplying the quantity of collected data.

See on Scoop.it – lean manufacturing

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By Michel Baudin • Press clippings • 3 • Tags: big data, Industry 4.0, Manufacturing

Tesla-visitor-badge-04-27-16

May 1 2016

Tesla Plant Visit And Non-Disclosure Agreement

Before we entered the Tesla plant, tour guide Adam Slusser ran through the stipulations of the Non-Disclosure Agreement (NDA) we had just signed: we couldn’t take pictures, draw sketches, or even post accounts of the visit on social media. To honor this NDA, I will therefore limit myself to quoting what others have already posted elsewhere.

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By Michel Baudin • News • 0 • Tags: Factory visits, Tesla

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 Michel Baudin • Technology • 3 • Tags: jidoka, Toyota Production System, TPS, Working with machines

Apr 7 2016

The A3 Report – Part 3: Limitations and Common Mistakes | Christoph Roser 

Even if the A3 report is sometimes paraded around like a sacred relic, it is in my view only a minor tool. The main work is still identifying and solving the problem. If I have the choice between a sloppy root cause analysis on an A3 report and a good one on the back of an used envelope, I would go with the envelope any time. Using an A3 report will offer no advantage at all if the content is garbage!

Sourced through Scoop.it from: www.allaboutlean.com

Michel Baudin‘s comments:

This is the 3rd post by Christoph Roser about A3. I only wrote two, What is an A3? and Beyond A3s. I agree with him that it is a minor tool, but our perspectives differ on details. Christoph sees A3 as primarily for problem-solving; I see them as a communication tool with many more applications, in particular work instructions. And Pascal Dennis likes to use them in Hoshin Planning/Strategy Deployment.

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By Michel Baudin • Blog clippings • 2 • Tags: A3, Lean

Mar 30 2016

“Smart” Part Numbers Strike Again: Wrong Part Shipped

I own two dishwashers in two homes, different models from the same brand, bought in the same store, and both on a service contract. For the first one, the model number  is SHE55R56UC; for the second one, SHE65T55UC. Today, we needed help on the first one, but customer service shipped us parts for the second one, which the repair technician discovered when unpacking them.

Right part
Wrong part

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By Michel Baudin • Information Technology • 1 • Tags: Quality, Service, smart part numbers

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