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Utilizing ANNs to Improve the Forecast for Tire Demand

Taylor, Brent S.
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1420656622

Abstract Details

2015, Master of Science (MS), Ohio University, Industrial and Systems Engineering (Engineering and Technology).
This study is an initial attempt to investigate the relationship between economic factors and monthly tire sales, using artificial neural networks (ANNs) and comparing the results to stepwise regression. Data for this research were collected through a privately held tire warehouse located in Wheeling, West Virginia. Research has shown that artificial neural network models have been successfully applied to many real world forecasting applications. However, up to this date no research has been found using artificial neural networks and economic factors to predict tire demand. The first part of this research describes why the chosen economic factors were selected for this study and explains the initial methodology with results. The next stage of the research gives details on why the methodology was revised and also clarifies why Google Trends and additional mathematical inputs were applied to the study. The final research focused on separating the master database into three different categories based on selling percentages. The results of the study show that the artificial neural network models were capable of forecasting the number of high selling tires, with a validation technique, but were unable to be applied sufficiently for the medium and low selling products.
Gary Weckman, Ph.D. (Advisor)
120 p.
Engineering; Industrial Engineering
Artificial Neural Networks; Tire Forecasting; Demand Planning; ANN; Tire Demand; Economic Factors

Recommended Citations

Citations

  • Taylor, B. S. (2015). Utilizing ANNs to Improve the Forecast for Tire Demand [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1420656622

    APA Style (7th edition)

  • Taylor, Brent. Utilizing ANNs to Improve the Forecast for Tire Demand. 2015. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1420656622.

    MLA Style (8th edition)

  • Taylor, Brent. "Utilizing ANNs to Improve the Forecast for Tire Demand." Master's thesis, Ohio University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1420656622

    Chicago Manual of Style (17th edition)

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This open access ETD is published by Ohio University and OhioLINK.
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