Total Productive Maintenance on Manufacturing Performance Based on Artificial Neural Network

The main objective of this study is to verify the impact of total productive maintenance (TPM) on manufacturing performance. Based on theoretical context, a model is established linking the TPM critical success factors to the manufacturing performance dimensions. An investigative analyze empirically verified to identify the critical success factors of TPM and manufacturing performance dimensions. Artificial neural network was employed to establish the model drawing on a case study of automotive industry in Malaysia. Based on the results, a strong relationship was remarked between TPM critical success factors and manufacturing performance through a predictor model