30%
Potential improvement in labor productivity
Unlocking Labor Productivity and Operational Efficiency in Bus Maintenance: Improving Workforce Utilization and Service Reliability
A major metropolitan transit agency faced frequent missed pullouts and unreliable bus availability, affecting daily operations and customer service. Partnering with EFESO, the agency conducted a data-driven labor productivity assessment to identify operational inefficiencies and enable evidence-based improvements in staffing, planning, and maintenance performance.
Industry: Transportation, Logistics and Services
Service: Manufacturing
Service: Operations Strategy and Transformation
Our Client
A major metropolitan transit agency responsible for daily bus operations, service reliability, and customer satisfaction.
Our Client
The transit agency faced persistent operational reliability issues and limited insight into workforce productivity.
- Chronic bus availability issues: Directly impacting service reliability and customer satisfaction.
- Assumed staffing shortages: Leadership attributed gaps to insufficient maintenance staff.
- Limited visibility into technician workload: No accurate data on productivity or task allocation.
- No formal efficiency evaluation: Daily operations lacked process assessment to identify waste.
Real Results Achieved Together
The labor productivity study provided the agency with clear, data-backed insights to optimize workforce utilization and restore operational reliability.
Transformation Impact
- Fact-based visibility into workforce utilization and process bottlenecks
- Data-driven decisions enabled for staffing and planning
- Improved bus availability and on-time pullouts
- Clarified root causes of performance gaps using evidence-based analysis.
- Identified operational inefficiencies and non-value-added tasks on the shop floor.
- Enabled management to make informed decisions on staffing and scheduling.
- Established a foundation for sustained improvements in maintenance productivity.
Our Approach
EFESO partnered with maintenance leadership and shop floor teams to perform a comprehensive, data-driven labor productivity study.
Work Order and Payroll Analysis
- Compared technician time data against scheduled shifts to assess productivity trends and workload balance.
Planner Load Evaluation
- Analyzed direct labor hours assigned to each technician to identify underutilization or over-allocation patterns.
Process Observation and Waste Identification
- Conducted detailed on-site observations to detect non-value-added tasks and inefficiencies across shifts.
Root Cause Validation
- Triangulated operational data with field insights to confirm whether gaps were due to staffing constraints or process inefficiencies.
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Facing Similar Workforce and Operational Challenges?
- Chronic availability issues impacting service reliability.
- Limited insight into workforce productivity and workload distribution.
- Need to optimize staffing, planning, and shop floor efficiency.
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