Gain full visibility into Maintenance Capacity

Track Capacity. Balance Workload. Avoid Overload.

Plan Maintenance With Full Visibility Into Team Capacity

Capacity Tracking in Sigga Planning & Scheduling enables planners to continuously monitor workforce availability and compare it with planned maintenance demand, ensuring maintenance schedules remain feasible and operationally balanced.

Book Your Demo

Learn how EAM Empower features can elevate your operations to the next level.

Trusted Where Reliability Matters Most

Adopted daily by maintenance teams running mission-critical SAP operations at scale

Capacity Monitoring

Real-time monitoring of workforce capacity across teams and technicians

Hours Visibility

Visibility into available technician hours across planning horizons

Workload Comparison

Comparison of planned maintenance workload versus available capacity

Availability Tracking

Tracking of shifts, calendars, vacations, and absences

Constraint Identification

Identification of capacity constraints within maintenance teams

Conflict Detection

Early detection of workload imbalances and scheduling conflicts

Dynamic Rescheduling

Dynamic rescheduling when workforce availability changes

Work Redistribution

Redistribution of work across teams and planning periods

Utilization Insights

Insights into workforce utilization levels

Overload Detection

Identification of idle capacity or overloaded maintenance periods

Demand Alignment

Alignment between maintenance demand and workforce availability

Schedule Feasibility

Support for more predictable and executable maintenance schedules

Maintain Balanced Workload Through Capacity Visibility

Monitor workforce availability and align maintenance plans with real execution capacity.

Real-Time Capacity Monitoring

Track technician availability, working calendars and crew capacity across daily, weekly or monthly planning horizons to understand how much maintenance work can realistically be executed.

Capacity vs. Workload Analysis

Compare available workforce capacity with the volume of scheduled maintenance work to identify overload risks or underutilized resources.

Constraint Identification

Detect workforce bottlenecks caused by skill shortages, crew limitations or compressed maintenance windows before they impact execution.

Dynamic Plan Adjustment

Adjust maintenance schedules by redistributing tasks, deferring lower-priority work or reallocating teams to maintain feasible and balanced maintenance plans.

Key Point Indicators

Built by EAM experts, Sigga simplifies SAP into easy, dependable workflows—boosting uptime, improving adoption, and delivering real ROI across maintenance and operations.

Reduction in Workforce Overload Periods
30–40% decrease in peak workload events by identifying capacity constraints before schedules are finalized.

Improvement in Schedule Feasibility
25% increase in executable maintenance plans through real-time alignment of workforce availability with planned work.

Reduction in Technician Idle Time
20% decrease in unplanned downtime caused by workload imbalances or last-minute schedule changes.

Increase in Capacity Utilization Accuracy
35% improvement in the precision of capacity forecasting, enabling better resource planning and reduced reliance on reactive adjustments.

Estudos de caso

An end-to-end suite that unifies planning, scheduling, mobile execution, asset data, and safety workflows.

  • CASE STUDY

BRF compartilha sua transformação de manutenção

Veja como um APP de manutenção móvel em uma plataforma no-code está transformando rapidamente as operações de manutenção da BRF, reduzindo o tempo de inatividade, aumentando a produtividade e reduzindo custos.
  • CASE STUDY

Entrevista com Saint Gobain

O líder de projetos de TI da maior empresa de materiais de construção do mundo fala sobre passar do papel para processos de manutenção totalmente digitais em suas fábricas globais de vidro.
  • CASE STUDY

Transformando um ambiente de manutenção reativa na Ingredion

O Planejamento e a Programação passaram de 2 dias para 2 horas. O wrench time do técnico aumentou em 25%. Confira como o Diretor de Confiabilidade da Ingredion, 8ª maior empresa de ingredientes alimentícios do mundo, e a Sigga conquistaram esses resultados.
  • CASE STUDY

3 maneiras pelas quais os processos móveis melhoram a segurança das operações da planta

Criar um ambiente de trabalho seguro para a equipe de manutenção e a força de trabalho de produção é uma prioridade para todas as organizações. Locais de trabalho seguros protegem os trabalhadores contra…

Enabling asset-intensive businesses to accelerate their EAM digital transformation

Dedicamo-nos a manter as melhores práticas do mercado em termos de segurança, privacidade e conformidade de dados, para sua garantia.

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.

See how much value Sigga can deliver

Services Leadership

Sucesso do cliente

Value Engineering

Channel Partners