JDJCSET | Sigma Xi Poster Competition

Academic Level at Time of Presentation

Senior

Major

Mathematics

Minor

Accounting

List all Project Mentors & Advisor(s)

Donald Adongo, PhD; Mr. Jordan Love

Presentation Format

Poster Presentation

Abstract/Description

Timing methods and performance metrics are important in the heavily industrialized world we live in. Industrial plants use metrics to measure quality of production, help make decisions, and drive the strategy of the organization. However, there are many factors to be considered when measuring performance based on a metric; of which we will be analyzing the importance of product variation. We will be analyzing assembly line timings, whilst controlling for product variance, to show the importance differences between products makes in one’s ability to predict performance. In addition, we will be analyzing the current “statistical” methods used by an industrial partner and comparing it to a new method we will be creating. The data will be analyzed with statistical methods such as: Akaike information criteria, ANOVA, ANCOVA, residual analysis, multiple linear regression, and others, with most of the calculations being done with the statistical software, R.

Affiliations

Sigma Xi Poster and General Posters

 

Statistically Analyzing Assembly Line Processing Times Through Incorporation of Product Variation

Timing methods and performance metrics are important in the heavily industrialized world we live in. Industrial plants use metrics to measure quality of production, help make decisions, and drive the strategy of the organization. However, there are many factors to be considered when measuring performance based on a metric; of which we will be analyzing the importance of product variation. We will be analyzing assembly line timings, whilst controlling for product variance, to show the importance differences between products makes in one’s ability to predict performance. In addition, we will be analyzing the current “statistical” methods used by an industrial partner and comparing it to a new method we will be creating. The data will be analyzed with statistical methods such as: Akaike information criteria, ANOVA, ANCOVA, residual analysis, multiple linear regression, and others, with most of the calculations being done with the statistical software, R.

 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.