Adekitan, Aderibigbe I. and Adetokun, Bukola and Okokpujie, Kennedy O. (2018) A data-based investigation of vehicle maintenance cost components using ANN. In: IOP Conf. Series: Materials Science and Engineering.
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Abstract
Vehicle maintenance is a critical and vital operational component that determines vehicle performance and service longevity. The severity of vehicle usage has been defined as one of the key factors that determine vehicle maintenance requirements. Nigeria is a tropical country with intense heat, poor road network and quality. These factors severely affect car performance and raises maintenance demands toward ensuring vehicle reliability and optimum performance. In this study, vehicle maintenance cost and fuel consumption data in terms of cost and volume, together with the mileage coverage as the vehicle usage data, for two corporate organizations were analyzed. The data was collected and systematically analyzed. The common faults were categorized and their frequency of occurrence was determined. An artificial Neural Network (ANN) model was developed for predicting future maintenance cost, given a set of anticipated vehicle usage inputs. The model has an overall correlation R-value of 0.76645.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | ANN model, vehicle maintenance, predictive cost analysis, data pattern recognition, road transportation, statistics |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | Mrs Hannah Akinwumi |
| Date Deposited: | 11 Sep 2018 10:01 |
| Last Modified: | 11 Sep 2018 10:01 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/11536 |
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