A Regression Model for Predicting Percent of Defective First Articles from Work-Force Composition.
Abstract
This research is designed to develop a logistics model for predicting the percent of defective first production articles submitted by a company based on the make-up of that company's work force. In accomplishing this goal, the techniques of regression analysis are applied to data pertaining to nine companies involved in contracts requiring first articles. The backward elimination method of regression analysis results in three alternative models that can be used as predictors.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1974
- Accession Number
- ADA006484
Entities
People
- Chester Bernard Domaracki
Organizations
- United States Army Materiel Command