Abstract
Simulation can be a means for the laboratory management to investigate the effects of proposed changes in the laboratory. Also, when specifications of analyzers are available one can investigate which analyzer should be purchased to fulfill existing needs. The potential of simulation is shown here by simulating the turn-around time of batched samples under several conditions. Three routine analyzers (DAX, AXON and Immuno-1) were modeled. The temporal pattern of the arrival of the samples at the different analyzers was determined. The impact of these patterns and the two batching methods on the turn-around time was investigated. Simulation proved to be a useful method to study the effects of batching and arrival patterns on the turn-around time
| Original language | English |
|---|---|
| Pages (from-to) | 174-181 |
| Journal | Clinical chemistry and laboratory medicine |
| Volume | 40 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2002 |
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