Optimal Maintenance Crew Composition and Enhancement of Crew Productivity
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Optimal Maintenance Crew Composition and Enhancement of Crew Productivity

Filetype[PDF-547.62 KB]


  • English

  • Details:

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    • Edition:
      Final report.
    • Abstract:
      The South Carolina Department of Transportation dedicates a large portion of both

      its budget and other resources to the maintenance of the State’s transportation

      infrastructure. In order to maximize the efficiency and productivity of the State’s highway

      maintenance workforce, the SCDOT partnered with Clemson University to research the

      performance of these maintenance crews. The goal of the research is to begin to identify

      optimal crew compositions, if possible, and to enhance crew productivity.

      Data was collected from the SCDOT Highway Maintenance Management System

      (HMMS) and crew rankings were developed based on several pre-determined performance

      criteria. These rankings were then used to identify the top performing crews based on work

      description and county type. Once crew rankings were identified, the top crews were

      analyzed to determine the crew configurations for each activity that produced the optimum

      results. Optimal equipment utilization was also analyzed and improved equipment

      allocation specifications were developed. A detailed survey of the SCDOT maintenance

      workforce was conducted at six county maintenance offices to supplement the HMMS data

      and further generate descriptors and characteristics of the top performing crews. The

      counties for this survey were chosen to be representative of the different areas throughout

      the state of South Carolina- primarily urban counties, mixed urban and rural counties, and

      primarily rural counties. Both maintenance workers and maintenance engineers

      participated in the survey with a total of 382 surveys collected. The data collected from

      these surveys included demographic information on each worker, information about crews,

      and opinion data relating to maintenance performance standards and the worker’s

      understanding of those standards.

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