10.71932/ijm.2024.1197656

Artificial Intelligence as a Catalyst for Operational Excellence in Iraqi Industries: Implementation of a Proposed Model

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  • Mayyadah Mohammed Ridha Naser1,
  • Mohammad Jalali Varnamkhasti*2,
  • Husam Jasim Mohammed3,
  • Mojtaba Aghajani4,
  1. Department of Industrial Management, Isfahan(Khorasgan) Branch , Islamic Azad University, Isfahan, Iran
  2. Department of Mathematics, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
  3. Al-Karkh University of Science, Baghdad, Iraq
  4. Department of Management, Mobarakeh Branch, Islamic Azad University, Mobarakeh, Isfahan, Iran

Received: 26-03-2024

Accepted: 27-05-2024

Published in Issue 28-06-2024

Copyright (c) -1 Mayyadah Mohammed Ridha Naser, Mohammad Jalali Varnamkhasti, Husam Jasim Mohammed, Mojtaba Aghajani (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Mohammed Ridha Naser, M., Jalali Varnamkhasti, M., Mohammed, H. J., & Aghajani, M. (2024). Artificial Intelligence as a Catalyst for Operational Excellence in Iraqi Industries: Implementation of a Proposed Model. International Journal of Mathematical Modelling & Computations, 14(2). https://doi.org/10.71932/ijm.2024.1197656
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Abstract

This study explores the potential of artificial intelligence (AI) as a catalyst for achieving operational excellence in Iraqi industries, specifically targeting the textile and food processing sectors. The objective is to assess how AI can enhance efficiency, productivity, and decisionmaking. The research introduces an AI model that comprises five components: data collection, data processing, the implementation of AI algorithms, a decision support system, and a feedback mechanism for continuous improvement. Data is gathered from diverse sources, such as sensors and Enterprise Resource Planning (ERP) systems. This data undergoes cleaning and processing, followed by the application of machine learning and deep learning algorithms for predictive analytics and pattern recognition. The implementation of the AI model demonstrated significant improvements across both sectors. In the textile industry, production output increased by 100%, defect rates fell from 8% to 4%, and customer satisfaction improved from 85% to 92%. In the food processing sector, production output rose by 50%, spoilage rates decreased from 5% to 2.5%, and customer satisfaction reached 96%. These results highlight the successful integration of AI into traditional manufacturing processes. The results suggest that AI can transform conventional manufacturing practices, fostering a culture of continuous improvement and enhancing competitiveness in global markets. This research offers a novel approach to leveraging AI for operational excellence, underscoring its potential for driving growth and innovation in the Iraqi economy.

Keywords

  • Artificial intelligence,
  • Operational excellence,
  • Iraqi industries,
  • Implementation, Model
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