Journal of Applied Intelligent Systems and Information Sciences

Journal of Applied Intelligent Systems and Information Sciences

Impact of IT Knowledge on Reducing Fault Rates in Industrial Computers

Document Type : Original Article

Authors
1 Department of IT Engineering Mehralborz University Tehran, Iran
2 Department of Computer Science, Brunel University London, London – United Kingdom
Abstract
This study explores the correlation between users' information technology (IT) knowledge and the fault rate of industrial computers. The importance of IT knowledge becomes evident in industries such as manufacturing plants, where the use of industrial computers is prevalent. Detecting and addressing the fault rate of these systems is crucial to saving time, minimizing damage, and optimizing resource utilization a top priority for various industries. Data was collected through stopped workstation forms and users' resumes, focusing on their IT-related courses. Statistical analysis led to two hypotheses: the null hypothesis (H0) and the alternative hypothesis (HA). The findings suggest that enhancing users' IT knowledge can significantly reduce the fault rate of industrial computers. In this research, suggestions have been given to increase users' information technology knowledge in different and correct ways, and there are also suggestions for further research in this field. The study recommends companies invest in user training programs or information packages to mitigate system faults.
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Volume 5, Issue 1
February 2024
Pages 42-49

  • Receive Date 11 April 2024
  • Revise Date 19 May 2024
  • Accept Date 21 May 2024