AMR KPIs

AMR and AGV Fleet KPIs: Benchmark Ranges and Targets That Separate World-Class Intralogistics

Target numbers for AMR and AGV intralogistics fleets, from utilization and availability to on-time delivery and mission success, with world-class versus typical ranges and the levers that improve each KPI.

Fleet utilization is the KPI most plant managers watch first, and it separates a justified fleet from an idle one. Typical brownfield AMR deployments run 45 to 60 percent utilization in the first year, meaning robots are moving loads or repositioning that share of scheduled uptime. World-class fleets hold 75 to 85 percent. Above 88 percent you have no surge headroom and miss deadlines during demand spikes. Measure it as productive mission minutes divided by scheduled available minutes, pulled straight from your fleet manager logs. The AMR Utilization Calculator turns raw mission counts into this ratio so you can compare shifts and cells on one scale.

Availability and reliability set the ceiling on everything else. Target fleet availability of 98 to 99.5 percent for mature AGV lines and 95 to 98 percent for newer AMR fleets still tuning maps and traffic rules. Mean time between failures should land above 400 operating hours per robot for good deployments, with world-class programs pushing past 700 hours; mean time to repair belongs under 30 minutes for software resets and under 4 hours for mechanical swaps. Track e-stops per thousand missions too. Under 2 is healthy, over 8 signals map, sensor, or traffic-design problems worth a full audit.

On-time delivery and mission success reflect whether the fleet actually serves the line. Aim for 97 to 99 percent of moves completed within the agreed takt window, and a mission success rate above 99 percent where success means no manual intervention, no blocked-path abort, and correct pickup and dropoff. Typical early fleets sit at 92 to 95 percent and bleed hours to exceptions. Watch the pickup and dropoff cycle: benchmark station dwell of 20 to 45 seconds per stop for tote handoffs. The Pickup and Dropoff Cycle Time Calculator and the Route Congestion Score Calculator together show whether misses come from stations or from traffic.

Throughput per robot and moves per hour tell you if the fleet is sized right. A single tugger train pulling 4 to 6 carts commonly delivers 25 to 40 line-side deliveries per hour on a fixed milk-run loop, while a standalone tote AMR handles 12 to 22 moves per hour depending on travel distance and lift time. Distance matters: every extra 30 meters of one-way haul at 1.2 to 1.5 meters per second adds roughly 20 to 25 seconds to cycle. Benchmark payload utilization too, since carrying half-empty totes wastes trips. Target 80 percent volumetric or weight fill per move.

Battery and charging health quietly caps daily output. Opportunity-charging AMRs should hold 90 percent or better state-of-charge availability across a shift, spending under 12 percent of scheduled time on chargers when using 20 to 30 kW fast charging. If robots idle at chargers more than 18 percent of the shift, you are either undersized on chargers or oversized on battery cycling. Watch depth of discharge; keeping lithium packs between 20 and 80 percent extends useful cycle life toward 3,000 to 4,000 cycles. Use the AMR Battery Charge Capacity Calculator to confirm your charge windows match mission demand per shift.

Traffic and congestion metrics are the levers most teams overlook. Benchmark path conflict rate below 3 percent of segments per hour and average wait-at-intersection under 5 seconds. Once robot density passes roughly 1 robot per 250 to 400 square meters of shared aisle, congestion losses climb fast and can strip 10 to 20 points off utilization. The Route Congestion Score Calculator flags choke points before they cascade. Fixes are cheap relative to buying more robots: add passing bays, split bidirectional aisles into one-way loops, stagger release times, and relocate high-traffic pickup stations off the main artery.

The improvement sequence matters as much as the targets. Start by lifting availability, because a fleet stuck at 93 percent uptime can never reach 80 percent utilization no matter how you schedule it. Next attack congestion and idle repositioning, which are usually worth 8 to 15 utilization points with zero capital. Then tighten pickup and dropoff dwell and battery scheduling. Only after those levers are exhausted should you add robots. Teams that follow this order typically raise effective throughput 30 to 50 percent on the installed fleet, deferring capex and improving the payback numbers you would model in the AMR ROI Calculator.

Set a small dashboard and review it weekly, not quarterly. The core seven: utilization, availability, MTBF, on-time delivery, mission success, moves per hour, and congestion score. Add labor redeployment as a business KPI, since a mature fleet should free 1.5 to 3.0 material-handler full-time equivalents per 8 to 10 robots, which the Internal Logistics Labor Savings Calculator quantifies. Pair operational KPIs with the AGV Fleet Size Capacity Calculator and Tugger Route Capacity Calculator when demand grows, so sizing decisions rest on measured throughput rather than vendor spec sheets that assume ideal, congestion-free conditions.

Published 2026-07-01.