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May 17 2016

5S at Google?

In How Google Works, on p. 38, executives Eric Schmidt and Jonathan Rosenberg wrote:

“When offices get crowded, they tend to get messy too. Let them. When Eric [Schmidt] first arrived at Google in 2001, he asked the head of facilities, George Salah, to clean up the place. George did, and was rewarded with a note the next day from Larry Page, saying, ‘Where did all my stuff go?’ That random collection of stuff was an icon of a busy, stimulated workforce. […] It’s OK to let your office be one hot mess.”

So the company whose mission is “to organize the world’s information and make it universally accessible and useful” has no use for 5S in its offices. The explanation they give is that Google employees are “smart creatives” who do their best work in a messy environment, like Pablo Picasso in his studio. But I can think of another reason: the information that matters to the googlers’ work is the stuff behind their screens, not on their desks. It’s in Google’s data centers, and they work on it with Google’s software.

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By Michel Baudin • Management • 7 • Tags: 5S, Google, Intel, Mr. Clean

May 10 2016

Lilian Gilbreth, Mother of Modern Management | Harish Jose | LinkedIn Pulse

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Lilian Gilbreth: “Household tasks were divided between the children. We had three rows of hooks, one marked “Jobs to be done,” one marked “Jobs being done” and a third marked” Jobs completed” with tags which were moved from hook to hook to indicate the progress of the task. ” (1930 Speech to National Federation of Business and Professional Women’s Clubs, New York)

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

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By Michel Baudin • Blog clippings • 0 • Tags: Kitchen design, Lilian Gilbreth, Personal Kanban

May 8 2016

Introduction to R for Excel Users | Thomas Hopper | R-bloggers

“…The quality of our decisions in an industrial environment depends strongly on the quality of our analyses of data. Excel, a tool designed for simple financial analyses, is often used for data analysis simply because it’s the tool at hand, provided by corporate IT departments who are not trained in data science.

Unfortunately, Excel is a very poor tool for data analysis and its use results in incomplete and inaccurate analyses, which in turn result in incorrect or, at best, suboptimal business decisions. In a highly competitive, global business environment, using the right tools can make the difference between a business’ survival and failure. Alternatives to Excel exist that lead to clearer thinking and better decisions. The free software R is one of the best of these…”

Sourced through Scoop.it from: www.r-bloggers.com

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By Michel Baudin • Blog clippings • 2 • Tags: data science, Excel, Manufacturing, R

May 6 2016

From Troubleshooter To Leader | Bodo Wiegand | Wiegand’s Watch

Bodo WiegandBodo Wiegand heads Germany’s Lean Management Institute. In his latest newsletter, on Wiegand’s Watch, he discusses the need for managers to go beyond the role of troubleshooter and become leaders.

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By Michel Baudin • Blog clippings • 0 • Tags: Germany, Leader, Troubleshooting, Wiegand

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

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