Learning Curve Solution

STEP 0: Pre-Calculation Summary
Formula Used
Learning Curve = (Time Taken to Produce Initial Quantity*Cumulative Number of Batches)^(-Learning Coefficient)
LC = (a*X)^(-b)
This formula uses 4 Variables
Variables Used
Learning Curve - Learning Curve is a mathematical concept that graphically depicts how a process is improved over time due to learning and increased proficiency.
Time Taken to Produce Initial Quantity - Time Taken to Produce Initial Quantity refers to the duration it takes to manufacture the initial predetermined quantity of a batch of products.
Cumulative Number of Batches - Cumulative Number of Batches refers to the total count of batches produced over a specific period, wherein each batch represents a distinct group of products manufactured.
Learning Coefficient - Learning Coefficient is the rate of learning or improvement over time.
STEP 1: Convert Input(s) to Base Unit
Time Taken to Produce Initial Quantity: 10 --> No Conversion Required
Cumulative Number of Batches: 5 --> No Conversion Required
Learning Coefficient: 2 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
LC = (a*X)^(-b) --> (10*5)^(-2)
Evaluating ... ...
LC = 0.0004
STEP 3: Convert Result to Output's Unit
0.0004 --> No Conversion Required
FINAL ANSWER
0.0004 <-- Learning Curve
(Calculation completed in 00.004 seconds)
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Created by Aashna
IGNOU (IGNOU), India
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Indian Institute of Technology, Indian School of mines, Dhanbad (IIT ISM Dhanbad), Dhanbad
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25 Cost Accounting Calculators

Material Cost Variance
​ Go Material Cost Variance = (Standard Quality for Actual Output*Standard Price)-(Actual Quantity*Actual Price)
Labour Cost Variance
​ Go Labour Cost Variance = (Standard Hours for Actual Output*Standard Rate)-(Actual Hours*Actual Rate)
Revised Standard Quantity
​ Go Revised Standard Quantity = (Standard Quantity of each Material/Total Standard Quantity)*Total Actual Quantity
Learning Curve
​ Go Learning Curve = (Time Taken to Produce Initial Quantity*Cumulative Number of Batches)^(-Learning Coefficient)
Labour Efficiency Variance
​ Go Labour Efficiency Variance = Standard Rate*(Standard Time-Actual Time)*Variance
Time to Receive
​ Go Time to Receive = Time for Stock Validation+Time to Add Stock to Records+Time to Prep Stock for Storage
Labour Rate Variance
​ Go Labour Rate Variance = Actual Time*(Standard Rate-Actual Rate)*Variance
Cycle Time
​ Go Cycle Time = Process Time+Inspection Time+Move Time+Queue Time
Revised Standard Hours of Labours
​ Go Revised Standard Hours of Labours = (Actual Mix/Standard Mix)*(Standard Hours of Labour)
Material Yield Variance
​ Go Material Yield Variance = (Actual Unit Usage-Standard Unit Usage)*Standard Cost per Unit
Overall Equipment Effectiveness
​ Go Overall Equipment Effectiveness = Good Count*Ideal Cycle Time/Planned Production Time
Avoided Cost
​ Go Avoided Costs = Assumed Repair Cost+Production Losses-Preventative Maintenance Cost
Material Usage Variance
​ Go Material Usage Variance = Standard Price*(Actual Quantity Units-Standard Quantity)
Labour Mix Variance
​ Go Labour Mix Variance = Standard Rate*(Reversed Standard Rate-Actual Time)
Material Price Variance
​ Go Material Price Variance = Actual Quantity*(Standard Price-Actual Price)
Material Quantity
​ Go Material Quantity = Standard Price*(Standard Quantity-Actual Quantity)
Customer Acquisition Cost
​ Go Customer Acquisition Cost = Cost of Sales and Marketing/Number of New Customers Acquired
Total Addressable Market
​ Go Total Addressable Market = Annual Contract Value per Client*Number of Potential Clients
First Pass Yield
​ Go First Pass Yield = Number of Good Products Finished/Number of Production Orders Started
Average Days Delinquent
​ Go Average Days Delinquent = Days Sales Outstanding-Best Possible Days Sales Outstanding
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Sell -Through Rate
​ Go Sell Through Rate = Number of Units Sold/Number of Units Received
Takt Time
​ Go Takt Time = Production Available Time/Customer Demand
On-Time Delivery
​ Go On-Time Delivery = On Time Units/Total Units

Learning Curve Formula

Learning Curve = (Time Taken to Produce Initial Quantity*Cumulative Number of Batches)^(-Learning Coefficient)
LC = (a*X)^(-b)

What is Learning Curve ?

Learning Curve is a correlation between a learner's performance on a task and the number of attempts or time required to complete the task. It suggests that as individuals or organizations repeatedly perform a task, they become more proficient, efficient, and productive. As individuals or organizations gain more experience and familiarity with the task, the rate of improvement gradually decreases. The learning curve levels off over time. In essence, the learning curve illustrates how learning and experience lead to improvements in skills, knowledge, and performance. At the beginning of the learning process, performance improvements tend to be significant with each repetition of the task. The steep initial slope indicates rapid learning and skill acquisition. Overall, the learning curve is a fundamental concept that underscores the importance of experience, practice, and continuous improvement in achieving mastery and efficiency in various endeavors.






How to Calculate Learning Curve?

Learning Curve calculator uses Learning Curve = (Time Taken to Produce Initial Quantity*Cumulative Number of Batches)^(-Learning Coefficient) to calculate the Learning Curve, Learning Curve is a concept that describes the relationship between experience or practice and performance improvement over time. Learning Curve is denoted by LC symbol.

How to calculate Learning Curve using this online calculator? To use this online calculator for Learning Curve, enter Time Taken to Produce Initial Quantity (a), Cumulative Number of Batches (X) & Learning Coefficient (b) and hit the calculate button. Here is how the Learning Curve calculation can be explained with given input values -> 0.0004 = (10*5)^(-2).

FAQ

What is Learning Curve?
Learning Curve is a concept that describes the relationship between experience or practice and performance improvement over time and is represented as LC = (a*X)^(-b) or Learning Curve = (Time Taken to Produce Initial Quantity*Cumulative Number of Batches)^(-Learning Coefficient). Time Taken to Produce Initial Quantity refers to the duration it takes to manufacture the initial predetermined quantity of a batch of products, Cumulative Number of Batches refers to the total count of batches produced over a specific period, wherein each batch represents a distinct group of products manufactured & Learning Coefficient is the rate of learning or improvement over time.
How to calculate Learning Curve?
Learning Curve is a concept that describes the relationship between experience or practice and performance improvement over time is calculated using Learning Curve = (Time Taken to Produce Initial Quantity*Cumulative Number of Batches)^(-Learning Coefficient). To calculate Learning Curve, you need Time Taken to Produce Initial Quantity (a), Cumulative Number of Batches (X) & Learning Coefficient (b). With our tool, you need to enter the respective value for Time Taken to Produce Initial Quantity, Cumulative Number of Batches & Learning Coefficient 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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