Date

1967

Document Type

Thesis

Degree

Master of Science

Department

Industrial Engineering

First Adviser

Carroll, John M.

Abstract

The predictive utility of a new learning frequency function for the distribution of rejects is subjected to empirical evaluation. Actual data from a large metal-working job shop are used as a basis for comparing a model based on the new frequency function against a model based on the conventional binomial distribution of rejects.

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