KPI Benchmarks : Machine Uptime
- Benchmark Range 80% - 98%
- Benchmark Average 89.0%
- Benchmark Sample Size (n) 48
* Is High or Low Best: Higher is Better
Download a Sample Machine Uptime
KPI Details : Machine Uptime
Machine Uptime measures the efficiency and availability of the company's manufacturing machinery. Poor performance in Machine Uptime may indicate a number of systematic issues such as poor production planning procedures, sub-par preventative maintenance controls for manufacturing equipment, slow product changeover times or inaccurate demand forecasting methods. Low values, furthermore, may result in high maintenance and repair costs or unreliable customer order fulfillment. Manufacturing managers should document the details surrounding machine stoppages (e.g., time and length of stoppage, machines affected, recent maintenance on the machines, root causes, etc.) in order to assist in identifying and resolving future stoppages. Machine Uptime is also one of the components of Overall Equipment Effectiveness (OEE).
KPI Best Practices : Machine Uptime
- Preventative maintenance performed regularly on manufacturing equipment
- Accurate demand forecasting methods
- Short cycle times for setting up production runs
KPI Calculation Instructions Machine Uptime?
Two values are used to calculate this KPI: (1) the amount of time that manufacturing equipment is in use (measured in minutes, rounded to the nearest tenth), and (2) the total amount of time that manufacturing equipment is scheduled to be in use (measured in minutes, rounded to the nearest tenth). This KPI can be segmented by product, machine, factory, etc. A machine is defined as "in use" if it is in operation for the purpose of directly producing a finished good or component of a finished good. Do not include time in which the machine is running for testing or other purposes in this calculation.
KPI Formula :
(Sum of Time that Equipment is in Use / Total Amount of Time Equipment is Scheduled for Use) * 100