NASA Logo Cost Estimating Web Site

Home
About
Conferences
Databases
Economics
Handbooks
Inflation
Launch
Links
Models
References
Resources
Salaries

Learning Curve Calculator

The concept of the learning curve was introduced to the aircraft industry in 1936 when T. P. Wright published an article in the February 1936 Journal of the Aeronautical Science. Wright described a basic theory for obtaining cost estimates based on repetitive production of airplane assemblies. Since then, learning curves (also known as progress functions) have been applied to all types of work from simple tasks to complex jobs like manufacturing a Space Shuttle.

The theory of learning is simple. It is recognized that repetition of the same operation results in less time or effort expended on that operation. For the Wright learning curve, the underlying hypothesis is that the direct labor man-hours necessary to complete a unit of production will decrease by a constant percentage each time the production quantity is doubled. If the rate of improvement is 20% between doubled quantities, then the learning percent would be 80% (100-20=80). While the learning curve emphasizes time, it can be easily extended to cost as well.

The learning percent is usually determined by statistical analysis of actual cost data for similar products. Lacking that, you may use the following guidelines from "Cost Estimator's Reference Manual- 2nd Ed.," by Rodney Stewart:

  • 75% hand assembly/25% machining = 80% learning
  • 50% hand assembly/50% machining = 85%
  • 25% hand assembly/75% machining = 90%

or

  1. Aerospace 85%
  2. Shipbuilding 80-85%
  3. Complex machine tools for new models 75-85%
  4. Repetitive electronics manufacturing 90-95%
  5. Repetitive machining or punch-press operations 90-95%
  6. repetitive electrical operations 75-85%
  7. Repetitive welding operations 90%
  8. Raw materials 93-96%
  9. Purchased Parts 85-88%

The calculator uses the learning curve to estimate the unit, average, and total effort required to produce a given number of units. Effort can be expressed in terms of cost, man-hours, or any other measure of effort. The calculator can be set to compute the Wright learning curve or the Crawford learning curve. The user is required to enter the effort (in terms of cost, man-hours, etc.) required to produce the first unit, the total number of units, and the learning percent.

A detailed explanation of the methods used to compute learning curve values is contained in the textbook "Engineering Cost Estimating," by Phillip F. Ostwald.  This book is currently out of print.  You can also find information in "Statistical Methods for Learning Curves and Cost Analysis," by Matthew S. Goldberg and Anduin E. Touw.

Please note that if you select the Crawford method and enter a quantity of 1,000 or more units, the model will calculate approximate values for cumulative average and cumulative total.


Note. These models are provided as educational examples of technology developed and used by cost engineers. Use at your own risk. These tools are written in JavaScript and require a browser with JavaScript capability. If you have trouble viewing or using these tools, please consult the frequently asked questions.


Input Data
Method: Wright

Crawford

 
First Unit Effort:  
Number of Units:  
Learning Percent: 0 to 100

Results
Nth Unit Effort:  
Cumulative Average:  
Cumulative Total:  

More Cost Models:

HOT!
2007 NASA Cost Symposium
 
About NASA
News & Events
Multimedia
Missions
Popular Topics
MyNASA

Home | About | Conferences | Databases | Economics | Handbooks | Inflation | Launch | Links | Models | References | Resources | Salaries
 
JSC
NASA
Web Curator: Kelley Cyr
NASA Official: Kelley Cyr
Updated: 25-May-2007 AlertWeb Accessibility and Policy Notices  
Disclaimer of Endorsement. Reference herein to any specific commercial products, processes, or services by trade name, trademark, manufacturer, or otherwise, does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or the NASA Johnson Space Center, or any of its employees or contractors. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government nor NASA Johnson Space Center, and shall not be used for advertising or product endorsement purposes. The United States Government does not endorse any commercial product, process, or activity identified by this web site nor through its agreements with non-government entities.