Learning Factor Calculator

✖Time for Task 1 is the time taken to complete the first task in the production operation cycle.ⓘ Time for Task 1 [a₁]			+10% -10%
✖Time for n Tasks is the sum of total tasks undertaken in a particular production operation.ⓘ Time for n Tasks [a_n]			+10% -10%
✖Number of Tasks is the total number of tasks to be done in a shift by all the workers in one job floor.ⓘ Number of Tasks [n_tasks]			+10% -10%

✖Learning factor is associated with how mature the technology is.ⓘ Learning Factor [k]

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Formula

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Learning Factor

Formula

`"k" = (log10("a"_{"1"})-log10("a"_{"n"}))/log10("n"_{"tasks"})`

Example

`"0.458157"=(log10("3600s")-log10("1200s"))/log10("11")`

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Learning Factor Solution

STEP 0: Pre-Calculation Summary

Formula Used

Learning Factor = (log10(Time for Task 1)-log10(Time for n Tasks))/log10(Number of Tasks)
k = (log10(a₁)-log10(a_n))/log10(n_tasks)
This formula uses 1 Functions, 4 Variables

Functions Used

log10 - The common logarithm, also known as the base-10 logarithm or the decimal logarithm, is a mathematical function that is the inverse of the exponential function., log10(Number)

Variables Used

Learning Factor - Learning factor is associated with how mature the technology is.
Time for Task 1 - (Measured in Second) - Time for Task 1 is the time taken to complete the first task in the production operation cycle.
Time for n Tasks - (Measured in Second) - Time for n Tasks is the sum of total tasks undertaken in a particular production operation.
Number of Tasks - Number of Tasks is the total number of tasks to be done in a shift by all the workers in one job floor.

STEP 1: Convert Input(s) to Base Unit

Time for Task 1: 3600 Second --> 3600 Second No Conversion Required
Time for n Tasks: 1200 Second --> 1200 Second No Conversion Required
Number of Tasks: 11 --> No Conversion Required

STEP 2: Evaluate Formula

Substituting Input Values in Formula

k = (log10(a₁)-log10(a_n))/log10(n_tasks) --> (log10(3600)-log10(1200))/log10(11)

Evaluating ... ...

k = 0.458156909991326

STEP 3: Convert Result to Output's Unit

0.458156909991326 --> No Conversion Required

FINAL ANSWER

0.458156909991326 ≈ 0.458157 <-- Learning Factor

(Calculation completed in 00.004 seconds)

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Credits

Created by Kaki Varun Krishna

Mahatma Gandhi Institute of Technology (MGIT), Hyderabad

Kaki Varun Krishna has created this Calculator and 25+ more calculators!

Verified by Prasana Kannan

Sri sivasubramaniyanadar college of engineering (ssn college of engineering), Chennai

Prasana Kannan has verified this Calculator and 10+ more calculators!

< 12 Industrial Parameters Calculators

Binomial Distribution

Go Binomial Distribution = Number of Trials!*(Probability of Success of Single Trial^Specific Outcomes within Trials)*(Probability of Failure of Single Trial^(Number of Trials-Specific Outcomes within Trials))/(Specific Outcomes within Trials!*(Number of Trials-Specific Outcomes within Trials)!)

Normal Distribution

Go Normal Distribution = e^(-(Specific Outcomes within Trials-Mean of Distribution)^2/(2*Standard Deviation of distribution^2))/(Standard Deviation of distribution*sqrt(2*pi))

Learning Factor

Go Learning Factor = (log10(Time for Task 1)-log10(Time for n Tasks))/log10(Number of Tasks)

Poisson Distribution

Go Poisson Distribution = Mean of Distribution^(Specific Outcomes within Trials)*e^(-Mean of Distribution)/(Specific Outcomes within Trials!)

Annual Devaluation Rate

Go Annual Devaluation Rate = (Rate of Return Foreign Currency-Rate of Return USD)/(1+Rate of Return USD)

Crashing

Go Cost Slope = (Crash Cost-Normal Cost)/(Normal Time-Crash Time)

Forecasting Error

Go Forecasting Error = Observed Value at Time t-Smooth Averaged Forecast for Period t

Macroscopic Traffic Density

Go Traffic Density in vpm = Hourly Flow Rate in vph/(Avg. Travel Speed/0.277778)

General Sewing Data

Go GSD = (Man Power*Work Hours)/Target

Traffic Intensity

Go Traffic Intensity = Mean Arrival Rate/Mean Service Rate

Variance

Go Variance = ((Pessimistic Time-Optimistic Time)/6)^2

Reorder Point

Go Reorder Point = Lead Time Demand+Safety Stock

Learning Factor Formula

Learning Factor = (log10(Time for Task 1)-log10(Time for n Tasks))/log10(Number of Tasks)
k = (log10(a₁)-log10(a_n))/log10(n_tasks)

What Is a Learning Curve?

A learning curve is a concept that graphically depicts the relationship between the cost and output over a defined period of time, normally to represent the repetitive task of an employee or worker.

How to Calculate Learning Factor?

Learning Factor calculator uses Learning Factor = (log10(Time for Task 1)-log10(Time for n Tasks))/log10(Number of Tasks) to calculate the Learning Factor, Learning factor is associated with how mature the technology is and is inversely proportional to the number of tasks in the operation belt. Learning Factor is denoted by k symbol.

How to calculate Learning Factor using this online calculator? To use this online calculator for Learning Factor, enter Time for Task 1 (a₁), Time for n Tasks (a_n) & Number of Tasks (n_tasks) and hit the calculate button. Here is how the Learning Factor calculation can be explained with given input values -> 0.458157 = (log10(3600)-log10(1200))/log10(11).

FAQ

What is Learning Factor?

Learning factor is associated with how mature the technology is and is inversely proportional to the number of tasks in the operation belt and is represented as k = (log10(a₁)-log10(a_n))/log10(n_tasks) or Learning Factor = (log10(Time for Task 1)-log10(Time for n Tasks))/log10(Number of Tasks). Time for Task 1 is the time taken to complete the first task in the production operation cycle, Time for n Tasks is the sum of total tasks undertaken in a particular production operation & Number of Tasks is the total number of tasks to be done in a shift by all the workers in one job floor.

How to calculate Learning Factor?

Learning factor is associated with how mature the technology is and is inversely proportional to the number of tasks in the operation belt is calculated using Learning Factor = (log10(Time for Task 1)-log10(Time for n Tasks))/log10(Number of Tasks). To calculate Learning Factor, you need Time for Task 1 (a₁), Time for n Tasks (a_n) & Number of Tasks (n_tasks). With our tool, you need to enter the respective value for Time for Task 1, Time for n Tasks & Number of Tasks and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.

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