Journal article
An empirical comparison of forgetting models
IEEE transactions on engineering management, Vol.48(3), pp.283-291
08/2001
DOI: 10.1109/17.946527
Abstract
This paper presents a comparative study of several forgetting models. We compare the performance of these forgetting models in measuring the amount of forgetting following a break in an environment where learning and forgetting occur intermittently. Comparisons are made of the performance of each model with respect to empirical data from a procedural inspection task. We identify models that perform better for predicting forgetting and, hence, performance following breaks in intermittent tasks. Results are presented indicating the efficiency, stability, and balance of each model with respect to predictive performance. Accurate predictions of performance are important for management in determining labor costing, scheduling, and setting time standards.
Details
- Title: Subtitle
- An empirical comparison of forgetting models
- Creators
- David A Nembhard - University of Wisconsin–MadisonNapassavong Osothsilp - University of Wisconsin–Madison
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on engineering management, Vol.48(3), pp.283-291
- DOI
- 10.1109/17.946527
- ISSN
- 0018-9391
- eISSN
- 1558-0040
- Publisher
- IEEE
- Language
- English
- Date published
- 08/2001
- Academic Unit
- Industrial and Systems Engineering; Business Analytics
- Record Identifier
- 9984186953602771
Metrics
28 Record Views