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Optimal Maintenance Crew Composition and Enhancement of Crew Productivity
  • Published Date:
    2008-08-01
  • Language:
    English
Filetype[PDF-547.62 KB]


Details:
  • Publication/ Report Number:
    SCDOT Research Project 668
  • Resource Type:
  • Geographical Coverage:
  • Edition:
    Final report.
  • NTL Classification:
    NTL-HIGHWAY/ROAD TRANSPORTATION-Construction and Maintenance ; NTL-PLANNING AND POLICY-PLANNING AND POLICY ; NTL-SAFETY AND SECURITY-Human Factors ;
  • Format:
  • 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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