integrating ahp and vikor for optimal selection of value engineering models in mining industry

The steel industry is essential for national development, economic growth, infrastructure projects, technological advancements, and social welfare. however, these industries face significant challenges, including project delays, equipment breakdowns, quality fluctuations, and environmental issues. addressing such challenges requires an effective managerial optimization method such as value engineering (ve). therefore, this study conducts a comprehensive review of ve methods found in international standards and prior research, aiming to select the most appropriate model for an iron and steel company (isc). the research adopts a mixed-methods approach, combining qualitative library studies with quantitative analysis using multiple-criteria decision-making techniques—specifically, the analytical hierarchy process (ahp) and vikor. ahp results show that the &ability to rank and prioritize ideas& (weight = 0.309) and the &determination of evaluation criteria& (weight = 0.294) were the most critical factors in the evaluation. based on these weights, the vikor method was employed to rank ve models, identifying the save standard (q = 0.0000) and the astm standard (q = 0.076) as the most suitable for isc. this study demonstrates that integrating ahp and vikor provides a reliable and adaptable approach for selecting ve models, ultimately supporting the iron and steel industry’s goals for improved economic performance and environmental sustainability.