If the result of repeated activities by mankind always results in learning, what is it that causes mankind to adopt a new learned procedure? Why does it always work no matter what the activity is? And why does it affect cost of manufacture differently for different products?

The post “The Geometry of Experience Curves” in this blog shows that the answer is: “That Men minimize their Time per unit of dimension”. Thus providing the incentive (less time spent by men) and the reason (geometry difference) for each product being different.

A: For an Economy, like say the U.S. where we have variables Employed Men, Price,Volume,Wages,Investment,Scale of Operation, Production Process Mean Dimensions of Radius R with Number of space dimensions being used = m, Dollars, A Gross National Product, Specific Products and the change in time of these variables then:

For a change in Production of a Product with time the Behavior of Men is to Minimize their time/Per unit of Volume of the product, i.e. that ratio (dMen/dRadius with time)=0.

Using reduced values, or indexed values of these variables based on a given year for GNP, Price, Volume, etc. and the Fact that Dollars=Price*Volume=Wages*Men, and Volume=Radius^m gives a Slope for the Experienc Curve=(1/m-1)*(1-Exp(-k*t)) wherE k=growth rate constant for the product and t=time (usually years) .

Because “All Men involved minimize their time per unit of space dimension, with time”.  Thus this Law of Nature is claimed as Garnett’s Minimization Law

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Inherent in the foregoing is also the fact that Investment=Scale^(1/m).

In the world of Supply and Demand the money that one group of people are willing to spend for something is equal to the amount of Money another group of  people are willing to provide (sell) that something.  The something can be anything, either goods (a product) or services.  Money is identical to the time of Employed men times their Wage rate as that is exactly what one can buy with money.  The production of that something in a physical facility has dimensons, like the Radius of a spherical tank brewing beer, and the quantity of beer or its Volume is proportional to the Radius raised to the power of the number of dimensions.  In this case V=R^(N)=R^(3), since the number of dimensions is 3.  In general, the economy is evolving, that is, it is a function of Time.  The rate of change with time for the variable, say Employed is dE/dT, and Radius  is dR/dT.  The behavior of people when it comes time to change supply and demand is defined as Garnett’s Minimization Law:

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“People minimize their time per unit of dimension, namely d((dE/dt) / (dR/dT))/dT  = zero = 0 .

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The result is that the Log(Money)=(1/N)*Log(Volume).  Also,

Log(Price)=(1/N-1)*Log(Volume)

and other relationships that can be worked out from Money=Price*Volume=Wages*Employed=Wealth+Costs,

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and the fact that demand is frequently exponential with time.

Presentation made on August 24, 2009, in Montreal, Canada.

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Power Point presentation “with recorded voice”.  Research as Investment

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Is the Learning Curve the cause for the Experience Curve?

Bruce Henderson in his “Perspective on Experience” alluded to learning being responsible for the experience Curve being the way that it is. However, he never did quantify the relationship between price and cumulative volume much less their relationship to learning. Henderson’s lack of understanding of the cause and effect relationships is exemplified by the many assertions of not knowing why the curves were as they were. Michael Rothschild in his Bionomics: Economy as Ecosystem asserts Henderson as writing:

“The experience curve phenomenon is as real as gravity. . . . [Its] effect can be observed and measured in any business, any industry, any cost element, anywhere. . . . The reason for the experience curve effect are not particularly important. The important fact is that the experience curve is a universally observable phenomenon.”

Clearly Henderson did not know and did not want to know the reasons behind experience curves as long as his experience curve phenomenon continued to be acknowledged.

See link for more:

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I was talking to Gregory S. Patince recently about Research being an Investment, or not.  My view of course is that it can be if managed to be an investment.  Just how that is so is included in the following documents.  The criteria of what is required is defined.

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These documents are part of the continuing dialog about what Experience Curves are and how they can be extended beyond historic data.

The equation for the slope of an experience curve is (1/m-1)*(1-exp(-kg*t)) or
(SF-1)*(1-exp(-kg*t)), where: t is time typically years, kg is the exponential growth rate

constant, SF is scale factor from the slope of an xy plot of scale of the facility vs investment

 in constant dollars, m is the number of dimensions of the production facility eg. 1 for linear

 like a pipe line, 2 for an area facility like a plate and frame filter press, and 3 for a volumetric

 facility like a tank. For a mature product slope becomes (1/m-1) or (SF-1).

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Will be at Houston Wed. to present to the American Institute of Chemical Engineering why Experience Curves have the Shape that they do and what the slope becomes for a mature product. It is because the slope of the x,y plot of log cumulative volume vs. log constant dollar price is (Scale factor – 1)*(1-exp(kg*time)).

The reason for the shape of experience curves is covered in this power point presentation. The material is more fully developed in the paper on the geometry of experience curves. The presentation went smoothly on Wed. 25, April at Houston. One question raised is “what happens to the experience curve for a product that is progressing nicely along an experience curve and the demand plateaus”. The answer is that it turns horizontal for a while since we are looking at constant dollar prices. The real prices rise along with inflation as time goes on. The mathematics shown for exponential growth of a product are applicable with the demand being specified as constant, i.e. the growth rate constant can be zero. For products in a ZPG (zero population growth) economy this situation will ultimately prevail.

In the presentation the question of “is learning the cause of the experience curve” was posed and answered in the negative; “it is not”. Both Professor Henderson and Michael Rothschild books do not prove that it is. An analysis of the only data basis in Rothschild’s Economy as EcoSystem can be shown to be best accounted for by Newton’s force equal mass*acceleration.