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- Utilize Black Belt's exclusive HOS Planning Model to project exactly when drivers will complete various route segments and have available hours for dispatch
- Utilize Black Belt's customer shipment predictive model to pro-actively plan available capacity
- Track and limit the combination of empty miles and idle time at turn points to drive costs down
- Establish dispatch rules to prevent driver perception of favortism
- Establish formally formatted Dispatch, Safety, and Recruiting meetings to drive improvements
- Advanced fuel analytics tied to shipment detail (equipment type, load weight, and customer specifics) can improve fuel costs by providing sound driver coaching, equipment purchase decisions, and bid considerations.
- Technician direct labor management
- Preventive maintenance improvements
- Predictive maintenance capabilities
- Black Belt can setup custom load board reporting to track the time loads sit idle from load inception. Includes the combination of asset and non-asset operations.
- Deploy Black Belt's Inside Sales training program to improve dispatch and carrier sales efficiencies
- Black Belt can analyze your structure and culture to make change recommendations that will improve performance
- Implement Black Belt reporting, quantitative monthly job models, and Business Analytics to reduce costs and improve service
- Utilize Black Belt's exclusive tools to optimize your linehaul operation
- DOT enforcement of HOS laws through ELD mandates may require significant changes in your operation that left unchecked may significantly increase cost
Black Belt's exclusive tiered training program contains multiple skill levels including Yellow Belt, Green Belt, and Black Belt certifications
Change the way in which your employees and your company approaches and deals with issues
Require management level employees to acquire Green Belt certification along with reqular formal Green Belt projects at variouis intervals of time to drive Kaizen (continuous improvement)
Six Sigma requires the input from all employees as a voice within the Analyze phase of the DMAIC process
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