<![CDATA[The metal manufacturing industry's supply chain faces problems with inaccurate sales demand analysis, with a 9% discrepancy between forecasted and actual demand. Production activity times are 23% inconsistent with established plans. Shipments of goods are inconsistent with sales orders, preventing the metal company from achieving its delivery targets. This study aims to analyze supply chain performance measurements and provide suggestions for improvements to the results of these measurements. This research method combines the Supply Chain Operation Reference (SCOR) and Analytical Hierarchy Process (AHP) methods. This study identified 17 selected performance indicators and prioritized attributes, namely reliability, responsiveness, and agility. The results of data processing through performance indicator weighting yielded a total SCM performance score of 90.90, with 5 performance indicators requiring improvement. Therefore, the proposed improvements focus more on these 5 dominant indicators. The contribution of this study to the analysis of SCOR and AHP performance measurements is that companies are expected to maximize their supply chains, thereby increasing industrial productivity and gaining a competitive advantage. ]]>
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