Bosman, L., & Madamanchi, A., & Bartholomew, S. R., & Byrd, V. L. (2020, June), Applying Artificial Intelligence to the Beer Game  Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--34156

\bibitem{asee_peer_34156}
  Bosman, L., \& Madamanchi, A., \& Bartholomew, S. R., \& Byrd, V. L. (2020, June), \emph{Applying Artificial Intelligence to the Beer Game}
  Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line .
  10.18260/1-2--34156

Lisa Bosman, Aasakiran Madamanchi, Scott R. Bartholomew, and Vetria L. Byrd.  "Applying Artificial Intelligence to the Beer Game".  2020 ASEE Virtual Annual Conference Content Access, Virtual On line , 2020, June.  ASEE Conferences, 2020.  https://strategy.asee.org/34156 Internet.  13 May, 2024

\bibitem{asee_peer_34156}
  Lisa Bosman, Aasakiran Madamanchi, Scott R. Bartholomew, and Vetria L. Byrd.
  "Applying Artificial Intelligence to the Beer Game".
  \emph{2020 ASEE Virtual Annual Conference Content Access, Virtual On line , 2020, June}.
  ASEE Conferences, 2020.
  https://strategy.asee.org/34156 Internet.  13 May, 2024

@INPROCEEDINGS{asee_peer_34156
author = "Lisa Bosman, Aasakiran Madamanchi, Scott R. Bartholomew, and Vetria L. Byrd"
title = "Applying Artificial Intelligence to the Beer Game"
booktitle = "2020 ASEE Virtual Annual Conference Content Access"
year = "2020"
month = "June"
address = "Virtual On line "
publisher = "ASEE Conferences"
note = {https://strategy.asee.org/34156}
number = {10.18260/1-2--34156}
}

TY  - CPAPER
AB  - Artificial intelligence can be applied in many different industrial engineering applications to promote statistical control and improve predictive capabilities. However, the literature is sparse in how to educate industrial engineers on the use of artificial intelligence to optimize the supply chain. The purpose of this study is to provide one approach for integrating artificial intelligence into supply chain education using the well-known beer game (a gamification and simulation approach to learn supply chain principles). Motivation for integrating artificial intelligence into the industrial engineering classroom is driven by the desire to better prepare students to enter the Industry 4.0 and Big Data workforce. The guiding research question was as follows: How can artificial intelligence be implemented into an elective engineering course to increase student perceptions and student learning outcomes? Participants included 120 sophomore-level students, enrolled in a three-credit course called Supply Chain Management Technology, at a research-intensive university in the midwest United States. Participants completed a 6-week module, including two weeks of the traditional online beer game and four weeks of the artificial intelligence-enhanced beer game using the Jupyter Notebook. In addition, due the split of sections (each was 60 students) a control group and treatment group was used to assess the intervention of adaptive comparative judgment on student learning. Qualitative and quantitative assessments include online discussions, reflections, artifact development, and pre-/post-surveys related to perceived satisfaction and learning outcomes. Findings provide evidence towards the effectiveness of the 6-week module to improve student perceptions and learning outcomes related to supply chain, artificial intelligence, and adaptive comparative judgment. In addition, implications are provided for the opportunity to improve student retention and completion rates using real-world scenarios and practical skill development associated with artificial intelligence.
AU  - Lisa Bosman
AU  - Aasakiran Madamanchi
AU  - Scott R. Bartholomew
AU  - Vetria L. Byrd
CY  - Virtual On line 
DA  - 2020/06/22
PB  - ASEE Conferences
TI  - Applying Artificial Intelligence to the Beer Game
UR  - https://strategy.asee.org/34156
DO  - 10.18260/1-2--34156
ER  -