Horizon Newsletter
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September 7, 2022
Trucking No-Show Uncertainty Management Cheat Sheet
With trucking capacity tight, trucking no-show risk is elevated.
Follow these tips to minimize the impact of trucking no-shows on your operation:
- Estimate total number of no-show trucks for a given lineup
- Use statistics!
- Factor in causal variables (day/night, holiday proximity, mobilization distance)
- Categorize drivers by no-show probability
- Keep it simple - high, low to start
- Estimate impact of no-show trucks by job
- Number of trucks (lower = more impact due to relative production impact)
- Mobilization distance (higher = more impact due to difficulty of replacement)
- Planned duration (longer = higher impact due to higher marginal cost)
- Other consequences (additional days, customer satisfaction, damages)
- Assign high-risk drivers to jobs with the lowest no-show impact
- Distribute risk through trucker assignment as possible
- Communicate to truckers re: assignment strategy given no-show probability
- Don’t assign flakey drivers to high-impact jobs
- Don’t assign flakey driver together
- Assign flakey drivers to later shifts in the rotation
- Follow-up with high-risk drivers post assignment
- Contact them directly to reinforce assignment and encourage communication
- Dispatch an insurance pool based the expected number of no-show trucks
- The ideal insurance truck is flexible, centrally-located, and versatile
- Consider starting insurance trucks on stockpiling if centrally located and flexible
- Communicate to the trucker and driver about their role
- Communicate to planners re: insurance strategy and need for accurate plans
- No local insurance decisions
- No local rationing decisions
- Schedule time to assess the impact of no-shows and re-dispatch accordingly
- Leverage no-show impact estimates
- Consider mobilization costs
- Consider updated job production plan details
- Assess no-show management performance each day and adjust accordingly
- How accurate were no-show estimates?
- Was risk distributed to the lowest cost places?
- Were replacements managed optimally?
Have anything to add to this cheatsheet?
Want to see any new features based on these ideas?
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