One of the breakout sessions at the CSCMP 2017 conference in Atlanta this week featured a summary of research sponsored by logistics giant CH Robinson and executed by MIT on the impact of multi-stop truckloads on cost and service - and interesting and unexplored topic.
The analysis was performed using a large amount of data from one of CH Robinson's business units that managers shipment execution for customers.
The results on the impact of multi-stop on rates was mostly inconclusive, but the impact of multi-stop on service was more interesting.
The graphic below is not the actual one used in the presentation this week, but rather the original MIT version we tracked down. But the data representation is identical to that used by CH Robinson at CSCMP.
As can be seen, multi-stop truckloads basically maintain their on-time performance across up to four stops - as long as the initial pick-up is on time (blue line). But if the initial pick-up is late, it seems to have a cascading effect that leads to significant degradation in on-time performance across subsequent stops (orange line).
Interesting. There was more to this research we hope to summarize shortly elsewhere on SCDigest.
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