Title

Teaching the utilization of quantitative statistical techniques for industrial application: A case study.

SelectedWorks Author Profiles:

John Gum

Philip J. Trocchia

Document Type

Article

Publication Date

2016

ISSN

2156-5155

Abstract

This article describes a step-by-step sequence of statistical techniques, including linear regression and ANOVA, for use in a classroom setting in order to solve real-world problems encountered in business and industry. A powder coating operation is used as the context for the case study. The authors found that, by employing the quantitative techniques described, the optimal solution to the manufacturer’s powder coating problem was found in about a week, versus three years in the real-world industrial setting, using a nonstatistical trial-and-error process.

Comments

Citation only. Full-text article is available through licensed access provided by the publisher. Members of the USF System may access the full-text of the article through the authenticated link provided.

Publisher

Academy of Business Education

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.