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Conceptualizing predictive methodology in automotive industry: Implication on business operations and strategies

These datasets are generated from Ford assembly line in a 6-month period focusing mostly on failure occurrence. The predictive power of the proposed model is supported in both data sets. Results suggest that Station, Model, Feature and Operation are four significant control parameters as they possess a more noticeable predictive power in comparison to time factor. To generalize the study area, other potential modelling methods are also implied for future research and other scenarios. |