Productivity
Overview of productivity monitoring in the Production Insights App.
Overview
The Production Insights App allows you to monitor the productivity of the machines involved in a manufacturing process and to review the KPIs that describe production performance.
This production area is divided into three main views:
- Overview: Provides an overview of all production machines, highlighting key KPIs such as OEE and cycle count.
- Productivity: Provides data and KPIs allowing users to evaluate the efficiency of production machinery.
- Machine Configurations: Provides data and KPIs allowing users to evaluate how a specific Machine Configuration performs on one or more machines.
The dedicated Machine Configurations section replaces the old Operations or Operating Mode tab that previously lived inside Productivity.
Overview Tab
A filtering option is available for Shifts. This makes it possible to evaluate the KPIs displayed on the dashboard by considering either the full selected time range or only the hours that fall within the configured work shifts.
The Productivity view focuses on the following core KPIs:
- Availability KPI: Ratio between the time the machine is in a WORKING state within the selected interval and the hours during which, according to the configured work shifts, the machine is expected to operate.
If no work shifts are configured for the workspace, the Availability KPI cannot be calculated and will result as zero.
Availability is calculated per machine and at workspace level as the average of the Availability KPI values for all machines in the selected workspace.
- Performance KPI: Percentage ratio between the ideal cycle time and the measured cycle time of a production machine over the selected time interval.
If a machine executes a Machine Configuration without an ideal cycle time configured, the Performance KPI cannot be calculated correctly and may be reported as zero. Configure it in Settings > Workspace > Production > Machine Configurations.
Performance is calculated per Machine Configuration and per machine, then aggregated at workspace level.
- Quality KPI: Also referred to as First Pass Yield. It is calculated as the percentage ratio between conforming output and total output produced by a machine within the selected time interval.
If a system cannot distinguish between good and defective cycles or pieces, the Quality KPI is calculated as 100%.
Quality is calculated per Machine Configuration and per machine, then aggregated at workspace level.
OEE (Overall Equipment Effectiveness) KPI is calculated as the product of the three KPIs: Availability, Performance, and Quality.
If any of the three KPIs is zero, the OEE for the selected time interval will also be zero.
At Machine Configuration level, the platform uses Efficiency instead of Availability-based OEE. Efficiency is defined as the product of Performance and Quality.
OEE = Quality x Performance x Availability [%]
In the first row, the following information is available:
- Average OEE of the machines in the workspace
- Average Availability of the machines in the workspace
- Average Performance of the machines in the workspace
- Average Quality of the machines in the workspace
- Number of cycles (total, good, and bad)
- Efficiency KPI, which summarizes how effectively a machine executes a specific Machine Configuration in a given time window
- Average cycle time
- Average cycle energy cost
The card in the second row contains the history of the average OEE for the machines in the workspace during the selected time period.
The card in the third row contains the history of the pieces made in total by every machine in the workspace.
Machines
Machines shows a table with details for all machines in the workspace. You can filter the view by machine status, active alarms, time range, and shift.
In the table, the following information is available for the selected time period:
- Name of the machine
- Status of the machine (Idle, Working, Alarm)
- Average cycle
- Total cycles
- Availability
- Performance
- Quality
- OEE
Clicking on the name of a machine opens a more detailed view of the single machine.
Single Machine
The Single Machine view offers a large amount of information, divided into sections.
The first row contains:
- OEE: overall OEE of the machine, including its Availability, Performance, and Quality components
- Consumption & cost: total energy consumption, electricity cost, and cost per produced piece
- Production time: average cycle time, planned production time, run time, net run time, and fully productive time
The second row contains the machine status, the history of the machine status, and a time recap of the various states over the selected period.
Machine-level production details are then broken down by Machine Configuration. For each configuration, the following metrics are available:
- Machine Configuration - The configuration name or code executed by the machine within the selected time range
- Efficiency (%) - Overall effectiveness for the selected Machine Configuration
- Performance (%) - Speed versus the ideal rate, based on cycle times
- Quality (%) - First-pass yield for the selected Machine Configuration
- Average Cycle Time (s) - Mean time to complete one cycle
- Energy Cost per Cycle - Estimated energy cost for one cycle
- Total Cycles - All cycles recorded in the selected period
- Good Cycles - Cycles that passed quality checks on first pass
- Bad Cycles - Cycles that failed quality checks
For each machine, you can view all associated Machine Configurations in both a tabular view and a time-based timeline chart. All data can be exported for further analysis or integration with other systems.
By clicking on a Machine Configuration name, you are redirected to the dedicated Machine Configurations section.
At the bottom of the page, three trend charts display Performance, Cycles, and Consumption over the selected time range. Each chart respects page filters and the underlying data is exportable.
Machine Configurations
Machine Configuration analysis now lives in a dedicated section under Production Insights.
Open Machine Configurations to review:
- Aggregated KPIs per Machine Configuration
- Execution logs and recent runs
- Per-configuration detail pages
- Cross-machine comparison for the same Machine Configuration