Designing the Process of Assessment of Technical Competency Mapping of Mechanical Production Industries of Amravati Region

This study focuses on designing a structured process for assessing the technical capability of machinery manufacturing industries in the Amravati region. By integrating weighted sum and product models, the method provides a comprehensive capability map highlighting strengths and weaknesses across industries. The results are intended to guide stakeholders in identifying top-performing industries and areas for improvement, ultimately supporting strategic development and enhancing the region’s machinery manufacturing capabilities. Research Significance: The research on designing an assessment process for the technical capability mapping of machinery manufacturing industries in the Amaravati region has significant value for both industry stakeholders and policy makers. It provides a systematic framework for assessing and benchmarking technical capabilities, which helps identify strengths and areas for improvement. This insight supports informed decision-making for resource allocation, capacity development, and technological improvements. In addition, the research promotes competitiveness and innovation in the regional machinery industry, contributing to economic growth. By adopting a rigorous, multi-criteria approach like WASPAS, this study ensures accurate and balanced assessments, fostering sustainable industrial growth in Amaravati. Mythology: Alternatives: candidate vendor 1, candidate vendor 2, candidate vendor 3, candidate vendor 4, and candidate vendor 5. Evaluation Parameter: Quality, Price and terms, Supply chain support, Technology .Conclusion: Based on the WASPAS method, an analysis of designing the Process of Assessment of Technical Competency Mapping of Mechanical Production Industries of Amravati Region Shows that the candidate vendor 5 a leading position .Result : designing the Process of Assessment of Technical Competency Mapping of Mechanical Production Industries of Amravati Region, WASPAS method, multi-criteria decision-making, This result shows that candidate vendor 5 most effective HR strategy, while , candidate vendor 3 ranks the lowest, indicating areas for significant improvement in its HR practices.