Gary R. Weckman

Gary R. Weckman is an Associate Professor in the Department of Industrial and Systems Engineering at Ohio University. He obtained his Ph.D. in Industrial Engineering from the University of Cincinnati and has practiced industrial engineering for over 12 years at firms such as General Electric Aircraft Engines, Kenner Products, and the Trane Company. During his career, he has had a number of technical and managerial responsibilities, which has revolved around developing and implementing decision support and forecasting systems. Through a mixture of research and application, Dr. Weckman possesses an internationally-renown reputation for his contributions of developing methodologies for complex manufacturing, information, financial, healthcare, sports, and environmental systems.

Publications

Financial Asset Management Using Artificial Neural Networks
Financial Asset Management Using Artificial Neural Networks
Roohollah Younes Sinaki, Azadeh Sadeghi, Dustin S. Lynch, William A. Young II, Gary R. Weckman. © 2022. 22 pages.
Investors typically build portfolios for retirement. Investment portfolios are typically based on four asset classes that are commonly managed by large investment firms. The...
A Scheduling and Rescheduling Decision Support System for Apparel Manufacturing
A Scheduling and Rescheduling Decision Support System for Apparel Manufacturing
Ehsan Ardjmand, William A. Young II, Iman Ghalehkhondabi, Gary R. Weckman. © 2021. 19 pages.
The manufacturing environment for apparel is subject to a variety of constraints, stochasticity, and unforeseen events. In order to create an accurate scheduling-system for this...
A Prescriptive Stock Market Investment Strategy for the Restaurant Industry using an Artificial Neural Network Methodology
A Prescriptive Stock Market Investment Strategy for the Restaurant Industry using an Artificial Neural Network Methodology
Gary R. Weckman, Ronald W. Dravenstott, William A. Young II, Ehsan Ardjmand, David F. Millie, Andy P. Snow. © 2020. 21 pages.
Stock price forecasting is a classic problem facing analysts. Forecasting models have been developed for predicting individual stocks and stock indices around the world and in...
Financial Asset Management Using Artificial Neural Networks
Financial Asset Management Using Artificial Neural Networks
Roohollah Younes Sinaki, Azadeh Sadeghi, Dustin S. Lynch, William A. Young II, Gary R. Weckman. © 2020. 21 pages.
Investors typically build portfolios for retirement. Investment portfolios are typically based on four asset classes that are commonly managed by large investment firms. The...
Artificial Neural Networks and Their Applications in Business
Artificial Neural Networks and Their Applications in Business
Trevor J. Bihl, William A. Young II, Gary R. Weckman. © 2019. 19 pages.
Despite the natural advantage humans have for recognizing and interpreting patterns, large and complex datasets, as in big data, preclude efficient human analysis. Artificial...
Defining, Understanding, and Addressing Big Data
Defining, Understanding, and Addressing Big Data
Trevor J. Bihl, William A. Young II, Gary R. Weckman. © 2019. 36 pages.
“Big Data” is an emerging term used with business, engineering, and other domains. Although Big Data is a popular term used today, it is not a new concept. However, the means in...
Artificial Neural Networks and Their Applications in Business
Artificial Neural Networks and Their Applications in Business
Trevor J. Bihl, William A. Young II, Gary R. Weckman. © 2018. 16 pages.
Despite the natural advantage humans have for recognizing and interpreting patterns, large and complex datasets, as in Big Data, preclude efficient human analysis. Artificial...
Artificial Neural Networks for Business Analytics
Artificial Neural Networks for Business Analytics
William A. Young II, Trevor J. Bihl, Gary R. Weckman. © 2014. 16 pages.