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PHD-DESIGN  March 2009

PHD-DESIGN March 2009

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Subject:

Re: Production Models at Hybrid Scales

From:

Ken Friedman <[log in to unmask]>

Reply-To:

Ken Friedman <[log in to unmask]>

Date:

Tue, 10 Mar 2009 11:30:38 +1100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (124 lines)

Dear Don,

This is a dangerous downside, but it is not the downside of Deming. It's
the downside of people like the manager you worked for. This fellow
never bothered to read what Deming himself wrote on issues like these.
Your manager got Deming backwards. 

This manager did not understand the core of statistical quality control.
Statistical quality control measures process outputs of a system under
way. You measure the system, not the people. This is a dramatic contrast
with post-facto performance measurements of individuals.

Youyr manager did not institute statistical quality control. He used
Management by Objectives and the quota system. Deming opposed both.

In point 10 of the Fourteen Points, Deming states that managers should
not set the kind of MBO targets that your manager imposed on your group.

"10. Eliminate slogans, exhortations, and targets for the work force
asking for defects and new levels of productivity. Such exhortations
only create adversarial relationships, as the bulk of the causes of low
quality and low performance belong to the system and thus lie beyond the
power of the work force."

In point 11, Deming says to eliminate production quotas and numerical
goals.

"11. Eliminate work standards and quotas on the factory floor.
Substitute leadership. Eliminate management by objective. Eliminate
management by numbers and numerical goals. Substitute leadership.”

Deming would have laughed at the notion of demanding a specific number
of scientific breakthroughs in each quarter. This is poor leadership
practice. It would have been ludicrous to Deming -- as a mathematical
physicist and working scientist, he knew excactly how difficult it is to
achieve a scientific breakthrough.

Incidentally -- Deming would also agreed with you on grades. Deming was
quite radical on grades. He believed that grades as we use them are
counterproductive to learning and development. Since grades do not help
us to improve but only measure performance post-facto, he felt grades
have no value. He believed that they reduce the quality of education by
reducing individual and group learning.

W. Edwards Deming would have agreed with everything you write here.

Warm wishes,

Ken

Ken Friedman, PhD, DSc (hc), FDRS
Professor
Dean

Swinburne Design
Swinburne University of Technology
Melbourne, Australia

--

Don Norman wrote:

The dangerous downside of Deming

(I just couldn't resist the alliteration)

Deming's practices and views have two sides. One is good and needs to be
even more widely applied.

The other is horrid -- and is of particular concern to two fields:
research and design. (Or any filed that requires delving into the
unknown or creativity).

Statistical Quality Control (SQC) is fine when you know precisely what
you are doing and when everything that needs to be controlled can be
controlled.

But I have seen devastating results when well-meaning managers tried to
apply these methods outside of their proper domains.

One manager of a research group where I once worked required the
research group to list the number of scientific breakthroughs they
expected to achieve each quarter, and then tried to hold them to it.

And the realm of engineering design tried to define the design process.
As one course syllabus I just read stated "grades will be based upon
adherence to formal methods. Intuitive design will not be permitted." 
(Although at first I thought I agreed with this statement, it turns out
that my definition of proper process is precisely what they mean by
"intuitive" process.  I agree that we don't want uninformed design, but
that's not what they mean -- they mean it has to fit the formal
requirements matrix and minimization methods.)

Design is complex. It has many stages, each of which might very well
require very different knowledge, skills, and techniques. Engineering
design, for example, algorithmic design, and SQC are completely
appropriate at some of the more technical components and during the
manufacturing stagMuch though I respect Denning's teachings and the work today that has
derived from them (we teach them in my  MBA program), these methods are
the enemy when it comes to the place where designers or researches
normally flourish.

It is these managerial attitudes that make it so difficult for designers
to find their place in many companies, which is why so many major
products are so badly designed from aesthetic, suability, and even
functional grounds. And they are best kept away from research groups.

As for job shops and craft work: apply with great delicacy.

All tools have their opposite, conflicting sides. This is one example.

Don Norman
Breed Professor of Design, Northwestern University
Co-Director MMM Program. MBA + MEM: Operations+Design
Co-Director Segal Design Institute
[log in to unmask]
www.jnd.org

March and September-October 2009
Visiting Distinguished Professor
Department of Industrial Design
KAIST
Daejeon, Republic of Korea

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