A MULTI-CRITERIA DECISION-MAKING FRAMEWORK FOR PRODUCTIVITY MEASUREMENT IN CALIBRATION FACILITIES BASED ON OMAX AND AHP

Calibration facilities are required to maintain measurement accuracy while meeting operational targets; however, productivity monitoring is often fragmented because multiple performance ratios must be evaluated simultaneously. This study proposes a multi-criteria decision-making framework that integrates the Objective Matrix (OMAX) for productivity measurement with the Analytical Hierarchy Process (AHP) for deriving ratio weights, applied as a case study in the Calibration & Measurement Facility of an automotive manufacturing company. AHP pairwise comparisons (aggregated using the geometric mean) were used to prioritize four productivity ratios, producing weights of 0.30 (R1), 0.40 (R2), 0.23 (R3), and 0.06 (R4), with a strong consistency result (CR = 0.004 < 0.10), indicating reliable judgments. The resulting weights were embedded into OMAX scoring to compute monthly productivity indices for JanuaryJuly 2025.