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Posts tagged "Manufacturing"

Shift from Manufacturing to Supply Chain

The July-August, 2018 Inc. magazine has an article (pg. 22) about manufacturing vs supply chain service jobs. From 1999-2015:

  • Manufacturing jobs declined from 12.5 million to 8.2. Supply chain jobs increased from 13.4 million to 20.0.
  • Manufacturing salaries climbed only slightly from $54,800 to 59,800 while supply chain jobs rose from $72,600 to $85,200.

With increasing manufacturing automation, more jobs are being created around supporting production than actual production. Something to think about.

Posted by Jay Arthur in Lean, Manufacturing.

Insights from ASQ Phoenix – 2018

Here are my takeaways from the ASQ conference in Phoenix.

 

Posted by Jay Arthur in Improvement Insights, Jay Arthur Blog, Lean, Manufacturing, Six Sigma.

Lean Six Sigma for Manufacturing?

In Chris Anderson’s new book, FREE, he that almost 30 years ago (1981), the Fortune 100 companies all made something. Now, only 32 do. The other 68 traffic in ideas.

While Lean Six Sigma developed to help manufacturing, it has failed to keep up with the times. It’s still mired in the manufacturing model of reality. What are the new opportunities for Lean Six Sigma?

  • Back office operations like orders, invoicing, purchasing, and payments.
  • Sales and Marketing
  • Information Technologies

Anderson argues that much of the economy no longer produces atoms (i.e., products) but manages bits and bytes of information (e.g, Google, Wikipedia).

Posted by Jay Arthur in Lean, Manufacturing, Six Sigma.

Lockheed F-22 Fighter Repair Problems

The Washington Post reported that mean time between critical failures in the F-22 is only 1.7 hours pushing it’s cost fly to $44,000 per hour. On average, the Post reports, only 55% of the fleet is available to fulfill missions.

In Six Sigma terms, that’s a 45% defect rate or less than two sigma.

The 4-50 Rule: The most common cause of maintenance problems: the radar-absorbing skin is vulnerable to rain and abrasion. Rain and abrasion seem like things that should have come out in a failure modes and effects analysis somewhere along the line.

What are the root causes of this problem?

Posted by Jay Arthur in Manufacturing, Six Sigma.