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What is Business Entropy

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Author Info
Michael Louis George () (Institute of Business Entropy)
Abstract

Entropy was first glimpsed in 1824 when Sadi Carnot, son of the Prime Minister of France, observed that steam engines wasted 97% of their heat energy, and wondered how efficient they could be. An engine works by drawing in heat energy Hi from gasoline and exploding it at high temperature Ti, that energy in the gas then pushes on a piston to turn a crankshaft and do useful work, but an amount of the heat energy Hw is wasted to the environment at temperature Tw , which is about 70F (25C) In 1850 Rudolph Clausius found a mathematical expression for Carnot’s ideas. Clausius found that the ratio of heat to temperature could at best be constant, and he called this constant Entropy. Businesses purchase material and labor, apply them in a manufacturing or service process to create useful products and services. Inevitably business processes must waste some money on effort not really of benefit to customers such as warehouses, quality defects, obsolescence, etc. Is there some minimum amount of waste in a business process? Can we find an equation for this waste similar to that of Clausius that may tell us how to reduce the waste? A practical procedure for necessary data collection is defined which will allow management to predict cost reduction due to process improvement. Additional case studies will test the validity of this Equation of Cost Reduction in which academics are invited to participate.

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File Function: First version, 2008
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Publisher Info
Paper provided by Institute of Business Entropy in its series Working Papers with number 0604.

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Length: 26 pages
Date of creation: Aug 2008
Date of revision:
Handle: RePEc:geg:wpaper:0604

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Web page: http://www.entropy2718.com

For technical questions regarding this item, or to correct its listing, contact: (Michael L. George).

Related research
Keywords: Equation of Projected Cost Reduction; Process Entropy; Information; Complexity; Waste; Little’s Law; Shannon; Boltzmann; Carnot;

Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
D8 - Microeconomics - - Information, Knowledge, and Uncertainty
L6 - Industrial Organization - - Industry Studies: Manufacturing
L7 - Industrial Organization - - Industry Studies: Primary Products and Construction
L8 - Industrial Organization - - Industry Studies: Services
L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
M21 - Business Administration and Business Economics; Marketing; Accounting - - Business Economics - - - Business Economics

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This page was last updated on 2009-11-30.


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