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Application of Artificial Intelligence in Enhancing Cost Accuracy and Industrial Production Efficiency
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Abstract: (266 Views) |
Accurate cost calculation and productivity improvement are among the most critical managerial challenges in industrial manufacturing. Increasing process complexity, product variety, and the growing volume of operational data have limited the effectiveness of traditional costing methods. This study adopts a systematic review and analytical approach to examine the application of data mining and artificial intelligence techniques in improving cost accuracy and enhancing industrial production productivity. The research is based on an in-depth review of recent Persian and international studies and a qualitative content analysis of their findings. The results indicate that machine learning algorithms, by utilizing real-time and operational production data, are able to model complex and non-linear relationships between production variables and costs, leading to more accurate cost estimation. Moreover, these intelligent approaches enable continuous cost monitoring, early detection of cost deviations, and optimized resource allocation, which collectively contribute to higher production efficiency. The findings highlight the strategic role of data mining and artificial intelligence as effective tools for managerial decision support, financial performance improvement, and enhanced competitiveness in industrial manufacturing environments.
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| Keywords: Artificial Intelligence, Cost Accounting, Industrial Costing, Machine Learning, Production Productivity. |
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Full-Text [PDF 525 kb]
(36 Downloads)
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Type of Study: Applicable |
Subject:
Special
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