Cost and operating performance
When does laboratory cost become a performance problem?
A lower cost is not automatically a better laboratory service. Management needs to understand what the operation receives for the resources committed and whether the service meets its timing, quality and control requirements.
Start with the required service
Define the sample demand, analytical scope, turnaround, quality and continuity the operation requires. Cost comparisons are weak when the alternatives do not provide the same service or allocate overheads consistently.
Measure the complete operating system
Relevant measures include cost per reportable sample, direct production hours, sample throughput, rework, equipment availability, consumable use, staffing, turnaround and quality-control performance. The relationship between these measures matters more than a single cost figure.
Find the reason behind the cost
High cost can reflect low utilisation, excess rework, unreliable assets, inefficient routes, poor scheduling, fragmented procurement or an operating model that no longer fits demand. Cutting resources before diagnosing the cause can reduce capacity or quality without solving the underlying problem.
Compare operating configurations on the same basis
Owner-operated, outsourced, centralised and hybrid options should be compared against the same demand, quality, logistics, risk, management and continuity requirements. Cost is one decision dimension, not the entire decision.
From cost question to evidence