Performance management is a management cycle that combines production tracking, indicator definition, and analytics. The goal is not just to measure, but to translate measurement into behavior.
1. Production tracking
Work order progress: The status of each order within each operation, how much has been completed, and its status relative to the plan.
Operation-based monitoring: Start and end times, resources employed, time spent, output and waste amounts.
Material consumption tracking: Comparing actual consumption with the recipe and instantly viewing any discrepancies.
Posture tracking: Start, end, duration, and coded reason for the posture.
Batch and batch traceability: Tracking which raw material lot belongs to which product batch, both forward and backward.
Personnel and shift tracking: Who worked which job and for how long; input for labor costs and skill development.
Real-time status: Instantaneous view of whether each machine in the field is running, stopped, being adjusted, or idle.
2. Key performance indicators and metric management
Defining indicators is easy, defining the right indicators is difficult. The following set constitutes the core indicators of production management.
Indicator
What does it measure?
Point to note
Overall equipment effectiveness
Usability × Performance × Quality
It's not enough for it to be high on its own; all three components need to be monitored separately.
Adherence to the plan
The rate at which planned work is completed within the planned time.
If the plan is constantly being revised, the indicator loses its meaning.
Right the first time
Production rate that does not require rework.
Reprocessing is often not registered in most places; it must be registered first.
Fire and scrap rate
Percentage of materials that became unusable
It must be monitored along with its code, otherwise it cannot be improved.
Yield
Usable output obtained from input.
The key indicator in process production should be compared with recipe yield.
Production flow time
The time elapsed from order placement to stock entry.
The majority of the time is usually waiting time, not processing time.
Installation time rate
How much of the total time was spent on product transition?
High diversity is the biggest capacity loss factor.
Capacity utilization rate
The portion of existing capacity that is used.
Having high levels of inventory outside the bottleneck is not good; it generates inventory.
Unit cost and variance
The difference between the standard and the actual
Deviance cannot be managed without breaking it down into its root causes.
Semi-finished goods inventory level
Amount of products waiting in the process
The most honest indicator of the health of the flow.
Energy consumption / unit
Energy per unit produced
Common input for cost and sustainability reporting.
Workplace accident and near miss.
Security performance
Its inverse relationship with production pressure should be regularly monitored.
3. Production analytics
Trend analysis: The trajectory of indicators over time; the direction is more important than the value of a single day.
Breakdown analysis: Comparing the same indicator based on product, line, shift, operator, facility, and customer.
Pareto analysis: Ranking the causes of downtime, waste, and delays according to their impact magnitude; determining where to begin improvement.
Statistical process control: Monitoring process parameters with control charts; detecting deviations before specifications are exceeded.
Root cause analysis: Identifying the cause using structured methods and linking it to corrective action.
Comparative evaluation: Examining performance differences between facilities and lines to disseminate best practices.
Simulation: Testing improvement scenarios before implementation.
Management cycle: Measurement alone does not produce improvement. An effective structure is a three-part cycle: daily field meetings (what happened yesterday, what we will do today), weekly performance reviews (trends and actions), and monthly management reviews (goals and investment decisions). The main function of panels is to eliminate the burden of preparing data for these meetings.