<![CDATA[General Background Material handling equipment such as forklifts plays a critical role in industrial logistics and warehouse operations. Specific Background Unplanned equipment breakdowns during daily material transport disrupt production workflows, increase maintenance costs, and reduce overall operational availability. Knowledge Gap Although preventative maintenance schedules are routinely implemented in industrial plants, quantitative evaluations assessing operational reliability metrics for varying forklift tonnage capacities remain limited. Aims This study evaluates preventive maintenance performance for 1.5-ton and 3.5-ton Mitsubishi forklifts operated at PT Central Proteina Prima Tbk through quantitative reliability metrics. Results Reliability analysis reveals Mean Time Between Failures values of 155.3 hours for the 1.5-ton forklift and 144.0 hours for the 3.5-ton forklift, with Mean Time To Repair recorded at 4.8 hours and 5.8 hours, yielding operational availability ratios of 0.80 and 0.75, respectively. Novelty Comparative quantitative evaluation establishes specific failure intervals and repair metrics across different forklift capacity specifications operating under identical industrial environments. Implications Establishing structured weekly operator inspections alongside monthly mechanical component replacements mitigates unexpected equipment failure and optimizes material handling productivity. Key Findings Highlights 1.5-Ton Forklifts Achieve Higher Reliability Interval Of 155.3 Hours 3.5-Ton Units Require Longer Mean Repair Time Of 5.8 Hours Periodic Inspection Schedule Prevents Premature Operational Equipment Breakdowns Keywords Forklift Maintenance, Preventive Maintenance, Mean Time Between Failure, Mean Time To Repair, Equipment Availability]]>
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