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Undergraduate Industrial Engineering Majors’ Software Preferences for Solving Statistical Process Control and Operations Research Questions

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Conference

2019 ASEE Annual Conference & Exposition

Location

Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

Industrial Engineering Division Technical Session 2

Tagged Division

Industrial Engineering

Page Count

12

Permanent URL

https://peer.asee.org/33470

Download Count

12

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Paper Authors

biography

Emre Tokgoz Quinnipiac University

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Emre Tokgoz is currently the Director and an Assistant Professor of Industrial Engineering at Quinnipiac University. He completed a Ph.D. in Mathematics and another Ph.D. in Industrial and Systems Engineering at the University of Oklahoma. His pedagogical research interest includes technology and calculus education of STEM majors. He worked on several IRB approved pedagogical studies to observe undergraduate and graduate mathematics and engineering students’ calculus and technology knowledge since 2011. His other research interests include nonlinear optimization, financial engineering, facility allocation problem, vehicle routing problem, solar energy systems, machine learning, system design, network analysis, inventory systems, and Riemannian geometry.

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Abstract

Various software packages can be used by engineering students to solve problems for Statistical Process Control (i.e. SPC) and Operations Research (i.e. OR) applications. These software packages require learning and implementing programming languages that help students to understand application insights of data visualization, statistical distributions, diagrams and charts, and regression and correlation analysis in SPC, and linear programming, integer programming, non-linear programming, Markov chains and linear algebra in OR. Instructors teaching OR or SPC courses can focus on a single software package or several software packages for teaching applications of various concepts in each one of these courses however students’ computer programming preference could be different. The choice of software to be taught is important for ease of OR and SPC applications and how much students are comfortable using the corresponding software package. Students’ software preference could change depending on the OR and SPC concepts covered, therefore extensive knowledge of software related to above mentioned concepts covered in OR and SPC courses strengthens users’ knowledge and ability to make a software choice depending on the concept covered. In this work, qualitative and quantitative analysis of Industrial Engineering (IE) undergraduate students’ software choices to solve various OR and SPC questions will be presented with their computer programming ranking for solving these questions as a part of the OR and SPC courses. The software packages compared by the students included Excel, SPSS and R for SPC, and Excel-Solver, Matlab and Lingo for OR.

Tokgoz, E. (2019, June), Undergraduate Industrial Engineering Majors’ Software Preferences for Solving Statistical Process Control and Operations Research Questions Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. https://peer.asee.org/33470

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