Asee peer logo

How A Course In Statistical Process Control Can Utilize Real Time Data

Download Paper |

Conference

2000 Annual Conference

Location

St. Louis, Missouri

Publication Date

June 18, 2000

Start Date

June 18, 2000

End Date

June 21, 2000

ISSN

2153-5965

Page Count

6

Page Numbers

5.330.1 - 5.330.6

DOI

10.18260/1-2--8427

Permanent URL

https://peer.asee.org/8427

Download Count

590

Paper Authors

author page

Ronald W. Garrett

author page

Paul L. Stephenson III

Download Paper |

Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Session 1463

How a Course in Statistical Process Control Can Utilize Real-time Data from an Industrial Production Facility Paul L. Stephenson III and Ronald W. Garrett Grand Valley State University

Abstract

Engaging students as active learners in applied statistics courses and getting them to think critically about the workings of a full-scale production facility is a difficult task. Yet it is an important challenge that educators face when teaching a statistical process control course.

This challenge has been addressed at GVSU by giving students an opportunity to participate in projects and to interact with professionals in the field. In this initiative, real-time statistical process control data is being continuously collected on the factory floor. Once it is collected it is automatically transferred from the production facility to GVSU via the Internet for use in a statistical process control course. The data is updated on a daily basis and is continuously available to students for analysis purposes. This paper describes the experiences of the authors and their students with this approach over a period of two years. The authors will discuss how student projects were utilized throughout the semester and how a plant tour (at the beginning of the semester) was set up and leveraged throughout the course.

Good data is a critical need of an applied statistical process control course and this project represents an opportunity for industry to share data from billions of dollars in equipment investment with academia. Consequently, industry benefits by acquiring student analyses on their manufacturing process, and ultimately industry benefits by hiring graduates that are more aware of how quality control is accomplished.

I. Introduction

Traditional instruction of a course in statistical process control (SPC) involves a heavy dependence on examples described in textbooks and applications presented in lecture. Unfortunately, neither faculty lectures nor textbook examples give students a chance to see or touch the broad range of materials, tools, equipment, and processes involved in making finished parts and products. As a result, the student rarely receives a complete understanding of the scope of the manufacturing problem or how to apply what he or she has learned in class.

Over the past several years the authors have developed and maintained a relationship with an industrial sponsor that has provided a real-world SPC experience for their

Garrett, R. W., & Stephenson III, P. L. (2000, June), How A Course In Statistical Process Control Can Utilize Real Time Data Paper presented at 2000 Annual Conference, St. Louis, Missouri. 10.18260/1-2--8427

ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2000 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015