Gain full visibility into Maintenance Capacity
Plan Maintenance With Full Visibility Into Team Capacity
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Trusted Where Reliability Matters Most
Adopted daily by maintenance teams running mission-critical SAP operations at scale
Capacity Monitoring
Hours Visibility
Workload Comparison
Availability Tracking
Constraint Identification
Conflict Detection
Dynamic Rescheduling
Work Redistribution
Utilization Insights
Overload Detection
Demand Alignment
Schedule Feasibility
Maintain Balanced Workload Through Capacity Visibility
Real-Time Capacity Monitoring
Capacity vs. Workload Analysis
Constraint Identification
Dynamic Plan Adjustment
Key Point Indicators
Reduction in Workforce Overload Periods
Improvement in Schedule Feasibility
Reduction in Technician Idle Time
Increase in Capacity Utilization Accuracy
Case Studies
BRF Shares Their Maintenance Transformation
An Interview with Saint Gobain
Turning Around a Reactive Maintenance Environment at Ingredion
Asset-intensive businesses to achieve heir EAM digital transformation
01. What is maintenance capacity tracking?
Maintenance capacity tracking is the continuous monitoring of available technician hours against planned workload across daily, weekly, and monthly planning horizons. When planners build schedules against assumed capacity rather than actual availability, you get overloaded crews, missed commitments, and last-minute scrambles.
02. How does Sigga compare planned workload against real workforce availability?
Sigga tracks technician availability across working calendars, shifts, vacations, and absences in real time, and surfaces a direct comparison between that available capacity and the volume of scheduled maintenance work. Planners can see overload risks and underutilized periods across any planning horizon before schedules are finalized, allowing them to redistribute work, defer lower-priority tasks or reallocate teams before conflicts impact execution.
03. How does capacity visibility help maintenance teams avoid bottlenecks and idle time simultaneously?
Most capacity problems run in both directions: some periods are overloaded while others have idle technicians waiting for work. Sigga’s capacity versus workload analysis surfaces both conditions, allowing planners to level demand across periods rather than reacting to crises after they occur.
04. What business results can maintenance teams expect from better capacity tracking?
Organizations using Sigga have reported a 25% increase in schedule feasibility along with a 35% improvement in capacity forecasting accuracy and a 30–40% reduction in workforce overload periods, replacing reactive schedule adjustments with a planning process that stays aligned with workforce reality from the start.