Harshini S* and B Amrita
In the dynamic landscape of workforce management in industries, traditional skill assessment and manpower planning methods have proven to be inadequate and ineffective, leading to suboptimal resource allocation, skill gaps, and reduced productivity. This paper introduces a comprehensive solution aimed at addressing these challenges. The project will build a robust system that utilizes real-time data analysis and Search algorithms to search and quantify the skills of individual operators. By seamlessly integrating data from various stations in an assembly line, encompassing crucial parameters such as operator ID, part barcode, station identity, cycle time, and the frequency of reworks, retrieved from a MySQL database, the digital skill matrix is developed.
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