Total Productive Maintenance on Manufacturing Performance Based on Artificial Neural Network

سال انتشار: 1391
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,491

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شناسه ملی سند علمی:

IIEC09_106

تاریخ نمایه سازی: 26 اسفند 1391

چکیده مقاله:

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

نویسندگان

Fatemeh Harsej

Azad University of Nour

Iraj Nikookar

Ministry of Education, Nour, Iran

Sha’ri Mohd Yusof

University Technology Malaysia

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