Improving Engineers’ Utilization and Performance in Electricity Company
Journal: International Journal of Scientific Engineering and Science (Vol.8, No. 10)Publication Date: 2024-11-11
Authors : Fadi Suliman Al-Balawi;
Page : 68-71
Keywords : Workflow Minning; SIMIO Simulation; Workforce Optimization; Manpower Allocation; Task Categorization; Performance Prediction; Machine learning;
Abstract
The objective of the current study is to enhance the practice and productivity of Engineers at the Saudi Electricity Company (SEC) in a project-based setting. The research explores the ineffectiveness of employees' allocation which makes it common for engineers to be sometimes disregarded resulting in wastage of human resources. The specific goals were to study the distribution of tasks, determine the most demanding categories in terms of time spent, and use simulation and machine learning to suggest specific strategies for optimization Key findings revealed that computer-based tasks accounted for a significant portion of engineers' daily work. SIMIO experiments have shown that engineers could handle more than one project at any time as long as the conditions were designed to be favorable
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Last modified: 2024-11-17 19:50:14