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A Scheduling Assistant Toolkit for GDOT’s Effective Planning of Transportation Projects
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2025-05-01
[PDF-2.18 MB]
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Edition:Final Report (October 2022 - May 2025)
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Abstract:The Scheduling Assistant Toolkit was developed to enhance the Georgia Department of Transportation’s (GDOT) project scheduling efficiency by providing data-driven recommendations on optimal activity overlapping strategies. Traditional scheduling methods often rely on finish-to-start dependencies, leading to unnecessarily long project durations and inefficiencies in resource utilization. This research introduces a scheduling assistant toolkit that integrates rule-based decision frameworks, risk-cost trade-off analysis, and productivity benchmarking to determine the most effective level of activity overlap while minimizing risks such as rework, inefficiencies, and delays. A key component of the study involved benchmarking location and trade productivity on a synthetic GDOT highway project to quantify productivity losses due to handoffs, work discontinuities, inefficiencies, and ineffectiveness. Results revealed that substantial productivity losses stem from crew transitions and poorly synchronized workflows, emphasizing the need for improved scheduling strategies. The toolkit utilizes Python-based algorithms to automate critical path detection, overlapping decision logic, and cost modeling, allowing project managers to evaluate various scheduling scenarios dynamically. Future developments will focus on pilot testing in GDOT projects, integration with existing scheduling systems like Primavera P6, and scalability for more complex infrastructure projects. By adopting this Scheduling Assistant Toolkit, GDOT can achieve shorter project durations, improved resource efficiency, and cost-effective construction management, setting a new standard for transportation project scheduling.
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