Driver Scheduling Automation and Optimization

Greyhound

60%

Reduction in Six-Day Work Weeks

33%

Reduction in Planned Extra Boards

5%

Reduction in Layover and Driver Idle Time

Overview

In the world of transportation, it’s difficult but necessary to transition from manual scheduling systems to meet new, real-world constraints and achieve business goals. We automated and optimized driver scheduling for Greyhound while reducing operating costs and increasing driver job satisfaction.
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Business Problem

With a large network of more than 1,000 buses, 4,000 bus stops and 1,800 drivers, Greyhound requires feasible driver schedules to staff every bus while addressing driver shortages, regulatory constraints and driver lifestyle preferences. Driver scheduling had always been a tedious, manual and myopic process, resulting in high costs for extra board drivers and irregular assignments, contributing to poor driver retention. Greyhound collaborated with Optym to create and implement DriverMAX, a driver schedule optimization system that automates the scheduling process, reduces the need for extra board drivers and improves the quality of driver assignments.

Our Approach

We developed a three-stage approach to solve the problem efficiently: 1) we created the possible sequences of bus driving assignments, called tours; (2) we created favorable tour patterns for different on-duty and off-duty arrangements; and (3) we chose the optimal selection of patterns to cover all driving assignments.

At each stage, we considered multiple objective function factors, union and regulatory rules and implementability requirements. We worked in close collaboration with the driver planning group at Greyhound to ensure that tacit knowledge was included in the optimization model, the model solutions were implementable and the system was easy to configure. We illustrated results to end users with a business intelligence tool for detailed analysis and agreed on the final configuration.

Key Benefits

  1. Our model demonstrated a 60% reduction in six-day work weeks without compromising on driver wages, leading to higher driver satisfaction and retention.
  2. The model created more regular driver schedules, resulting in a 33% reduction in extra boards.
  3. Our model reduced layover and driver idle time costs by 5%.

Results

Planners were able to create optimized driver plans within 15 minutes after the data was prepared and then study the impact, a dramatic improvement in the planning process. Thanks to rapid design and development in agile mode, we were able to help Greyhound create implementable, optimized schedules within eight months of beginning the project. And as a result of our efforts, the Driver Plan Optimization Group at Greyhound earned runner-up at FirstGroup’s 2018 Be First Awards for its significant contributions to making the company more efficient.