Salt Lake City, Utah
June 23, 2018
June 23, 2018
July 27, 2018
Manufacturing
Diversity
18
10.18260/1-2--30786
https://peer.asee.org/30786
500
Hüseyin Sarper, Ph.D., P.E. is a Master Lecturer with a joint appointment the Engineering Fundamentals Division and the Mechanical and Aerospace Engineering Department at Old Dominion University in Norfolk, Virginia. He was a professor of engineering and director of the graduate programs at Colorado State University – Pueblo in Pueblo, Col. until 2013. He was also an associate director of Colorado's NASA Space Grant Consortium between 2007 and 2013. His degrees, all in industrial engineering, are from the Pennsylvania State University (BS) and Virginia Polytechnic Institute and State University (MS and Ph.D.). His interests include Space, manufacturing, reliability, economic analysis, and renewable energy.
NEBOJSA I. JAKSIC earned the Dipl. Ing. degree in electrical engineering from Belgrade University (1984), the M.S. in electrical engineering (1988), the M.S. in industrial engineering (1992), and the Ph.D. in industrial engineering (2000) from the Ohio State University. He is currently a Professor at Colorado State University-Pueblo teaching robotics and automation courses. Dr. Jaksic has over 70 publications and holds two patents. Dr. Jaksic's interests include robotics, automation, and nanotechnology engineering education and research. He is a licensed PE in Colorado and a member of ASEE, IEEE, and SME.
This paper explains the beneficial and practical impact of operations research in two real manufacturing settings. Two manufacturing examples used in student projects were (1) cutting rails (80‘ or 40‘) to manufacture railroad frogs of many sizes and (2) cutting round metal rolls (12‘ to 20‘) to meet customer demands for various lengths of cuts. Student teams in Engineering of Manufacturing Processes and Operations Research courses wrote computer programs. The program first identified all possible patterns that can be cut out of a given stock length. Next, the program created a mathematical model (a text file) as an output. This text file was used as an input for the optimizer software LINGO. When compared to the manual solutions obtained by foremen in two settings, student teams with no prior experience were able to match the manual solution of the foremen in small problems and improve the manual solution by up to 30 % in large problems. After finishing the project, each team wrote a technical team report to document the experience they gained in manufacturing and mathematical modeling. Student assessment was based on student team reports (knowledge gained) and individual team interviews, exit surveys, and the end of semester course evaluations (students’ attitudes). The project outcomes include improved understanding of production-related concepts such as remnant minimization in manufacturing, as well as enthusiasm for operations research and its applications in manufacturing.
Sarper, H., & Jaksic, N. I. (2018, June), Manufacturing Applications of the One-dimensional Cutting Stock Problem as a Team Project Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--30786
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: © 2018 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