Durkin, R. J., & Yearling, P. (2018, June), Statistical Methods Can Confirm Industry-sponsored University Design Project Results  Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--30984

\bibitem{asee_peer_30984}
  Durkin, R. J., \& Yearling, P. (2018, June), \emph{Statistical Methods Can Confirm Industry-sponsored University Design Project Results}
  Paper presented at 2018 ASEE Annual Conference \& Exposition , Salt Lake City, Utah.
  10.18260/1-2--30984

Robert J. Durkin and Paul Yearling P.E..  "Statistical Methods Can Confirm Industry-sponsored University Design Project Results".  2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah, 2018, June.  ASEE Conferences, 2018.  https://peer.asee.org/30984 Internet.  07 May, 2024

\bibitem{asee_peer_30984}
  Robert J. Durkin and Paul Yearling P.E..
  "Statistical Methods Can Confirm Industry-sponsored University Design Project Results".
  \emph{2018 ASEE Annual Conference \& Exposition , Salt Lake City, Utah, 2018, June}.
  ASEE Conferences, 2018.
  https://peer.asee.org/30984 Internet.  07 May, 2024

@INPROCEEDINGS{asee_peer_30984
author = "Robert J. Durkin and Paul Yearling P.E."
title = "Statistical Methods Can Confirm Industry-sponsored University Design Project Results"
booktitle = "2018 ASEE Annual Conference \& Exposition "
year = "2018"
month = "June"
address = "Salt Lake City, Utah"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/30984}
number = {10.18260/1-2--30984}
}

TY  - CPAPER
AB  - An industry-sponsored project was recently developed to automatically inspect soup mix packages.  The industry sponsor had determined that its highest customer complaint was the absence of a flavor packet within the soup mix package.  It partnered with a local university to develop an automatic system to detect the missing flavor packet and remove it from the production line before the package was bulk-packed for shipment.  The system was designed, built and installed by a team of EET and MET students.  A four-hour production test confirmed that the percentage of soup mix bags without flavor packets detected by the machine was the nearly the same as the total percentage of bags without flavor packets returned by customers the previous year.  But how reliable was the system over a longer period?
This paper describes a semester-long university project to determine how well the inspection system performed on its production line for six-month period.  The honors-student project would utilize multiple statistical methods to determine whether the automatic inspection system actually improved overall quality of the soup mix packages, and led to reduced customer complaints.
The pedagogical features of the honors-student project are illustrated, and also include student comments and ratings of the effectiveness of the industry-university project.

AU  - Robert J. Durkin
AU  - Paul Yearling P.E.
CY  - Salt Lake City, Utah
DA  - 2018/06/23
PB  - ASEE Conferences
TI  - Statistical Methods Can Confirm Industry-sponsored University Design Project Results
UR  - https://peer.asee.org/30984
DO  - 10.18260/1-2--30984
ER  -