MACHINERY MAINTENANCE DATABASE SYSTEM FOR LARGE ELECTRICAL EQUIPMENT TRANSPORTATION Articles
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Abstract
This research aims to develop a maintenance database system for machinery used in the transportation of large electrical equipment by utilizing system analysis and design, data flow analysis, and Google Appsheet. The database system is divided into four sections: a section for storing data within the machinery maintenance department, a section for work preparation to assign machinery and personnel, a section for storing inspection and maintenance data, and a section for data display. The developed database system was then implemented and compared with various operational times to verify its effectiveness in improving machinery inspection and
maintenance processes. The research findings indicate that the developed database system significantly supports maintenance work for machinery used in the transportation of large electrical equipment. This is evidenced by the average document retrieval time of 0.53 minutes, which represents a 66.88% reduction from the previous time. The average history screening time was 0.61 minutes, a 94.85% reduction from the previous time. The average evaluation time for maintenance work was 2.26 minutes, a 43.78% reduction from the previous time. When comparing the times before and after the implementation of the database system using a t-test, the results showed a statistically significant reduction in all measured times, as the t-test values were lower than the critical values, and the p-values were below the significance level in all cases. Additionally, the developed database system eliminates errors in searching, screening, evaluating, and storing data. It also generates reports, which are beneficial for decision-making in future work, providing clear and reliable reference data
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This article is published and copyrighted by the Science and Technology Journal. South East Bangkok College
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