Benchmarking



Analyzing Results

Benchmark calculations will identify areas of performance differences—better and worse—between the subject railway and the benchmark railways. Further statistical analysis is then made of the areas in which the benchmark railways are superior to the subject railway. For example, the preliminary analysis may show that the subject railway has lower wagon productivity. Next, additional benchmarking analysis might be done on wagon-km per day, wagon fleet availability, and wagon cycle time.

Using these benchmarks as guides, subject railway operational practices would be compared to those of the benchmark railways to identify differences that account for different results. For example, the benchmark railways may use computer models to distribute empty wagons and the subject railway does not. Or, the benchmark railways may allow customers a single day to load and unload but the subject railway allows customers three days. Or, the benchmark railways may have efficient shunting operations but the subject railway’s marshalling yards average 36 hours dwell time.

The analysis aims to identify which of the benchmark railways’ good practices are responsible for better performance, and then implement these practices in the subject railway.

    
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