Date of Defense

4-16-2024

Date of Graduation

4-2024

Department

Industrial and Entrepreneurial Engineering and Engineering Management

First Advisor

James Burns

Second Advisor

Dana Hammond

Abstract

This project enhances the Industrial Engineering Department’s ability to demonstrate realistic and hands-on experiences for students through utilizing a modular, functional, and user-friendly manufacturing system. This Manufacturing Execution System (MES) is built using Ignition, organized databasing, and web page designs that allow both students and professors to easily record and track manufacturing times for assembly tasks. Ignition is the MES that allows real-world data to be directed onto a dedicated server. Python scripts keep track of real-time data for each station independently. Data is organized and requested by Structured Query Language (SQL) queries and displayed on web pages for students to gain insight into the overall manufacturing system. This allows students to test designs, understand variability, and continuously improve systems. Multiple products were used for testing, such as a camping lamp assembly and bolts assembly.

Bolt assemblies were used in student testing. Twenty students from the IEE 2622, Statistical Quality Control, course volunteered to act as operators in the lab. 150 bolt assemblies were created by the students and time data was captured and compiled into a single database table. This table was automatically exported to Excel, which was then exported to the faculty. The data was then used in the lecture to create different types of control charts to show how the system was affected by outliers, variability, and other external factors. The MES project enhances teaching and learning capabilities based on the results of the students, industry professionals, and faculty. The Xplore.0 lab is now ready for use.

Comments

Co-authored with:

David Houck

Nathan Snyder

Access Setting

Honors Thesis-Restricted

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