Managing scheduling and shift planning across multiple yards is one of the most complex operational challenges in the construction supply industry. With varying workloads, delivery schedules, and labor demands, having the right people in the right place at the right time is critical — not only for efficiency but also for safety, customer service, and profitability.
That’s why tracking the right Key Performance Indicators (KPIs) is essential. These metrics help you identify staffing gaps, optimize resource allocation, and continuously improve your scheduling strategy across all locations.
Without clear KPIs, yard operations can quickly become reactive. Overstaffing leads to unnecessary labor costs, while understaffing creates bottlenecks, delays, and missed service levels. With data-driven scheduling, you can make proactive decisions that align labor with actual demand, improve consistency, and reduce friction between yards.
Definition: Percentage of scheduled labor hours that are actually productive.
Why it matters: High utilization indicates effective scheduling. Low rates can signal overstaffing or underused capacity.
Definition: The percentage of scheduled shifts that are worked as planned.
Why it matters: Frequent call-outs or schedule changes disrupt workflows and may indicate employee dissatisfaction or poor planning.
Definition: Tracks how much of your labor is coming from overtime.
Why it matters: Excessive overtime can drive up costs and increase burnout. This KPI helps balance labor needs more strategically.
Definition: Measures how often employees are shared across multiple yards.
Why it matters: High flexibility allows for better coverage during peak periods, vacations, or unexpected absences. This KPI is key for scalable operations.
Definition: The average time employees spend idle during their scheduled shift.
Why it matters: High downtime signals inefficient scheduling or poor alignment with actual workload.
Definition: Tracks how often employees leave, segmented by location.
Why it matters: High turnover may indicate issues with scheduling fairness, shift preferences, or workload management — especially in certain yards.
Definition: The percentage of scheduled tasks completed during each shift.
Why it matters: It ties scheduling directly to productivity and can help benchmark which shifts or yards are consistently hitting their goals.
Definition: Measures how often employees miss scheduled shifts without notice.
Why it matters: High absenteeism can disrupt yard efficiency and lead to cascading delays in fulfillment and delivery.
Definition: The percentage of shifts that are fully staffed according to the original plan.
Why it matters: This shows how well your scheduling system meets operational needs, even with last-minute changes.
Definition: How often schedules are updated or altered after being published.
Why it matters: Constant changes can erode employee trust and planning efficiency. Tracking this helps improve forecasting and communication.
Tracking KPIs is just the first step. The real value comes from using this data to:
Identify underperforming yards or teams in need of support or training
In multi-yard operations, scheduling is more than just filling time slots — it’s a strategic function that impacts cost, service quality, and team morale. By tracking the right KPIs, you gain the visibility needed to optimize shift planning, support your managers, and scale your business with confidence.