23download_doc-10.php - c Learning curve model i Y x = K(x...

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I. Learning Curves a. Learning curves i. Definition 1. A relationship between unit processing time and the number of consecutive units processed a. We improve over time ii. Assumptions/ generalizations 1. Each time you perform a task it takes less time than the last time you performed the same task a. Exponential decay 2. The reduction in time will follow a predicable pattern b. Sources of learning i. Organizational learning 1. Changes in administration, equipment, and product design a. Technology, equipment, training, engineering ii. Individual learning 1. People repeat a process and gain skill from experience a. Training, selection of workers, teamwork, specialization
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Unformatted text preview: c. Learning curve model i. Y x = K(x) n 1. Time= 1 st unit (which unit) Rate of decay (always a negative number) 2. Variables a. Y x = the time required to product the xth unit b. K= the time estimated to product the 1 st unit c. X = the ordinal number of the unit produced d. N = the exponent that identifies the rate of improvement d. Regression to estimate n and k i. Always the preferred method ii. As always with regression, need a reasonable amount of data iii. Linear regression – but learning curve is not linear : exponential decay iv. Solution 1. Must somehow linearnize...
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23download_doc-10.php - c Learning curve model i Y x = K(x...

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