Analytical Framework for Life Cycle and Performance Assessment of Equipment Programs

Details

• Creators:
  Liu, Xiaoyue Cathy ; Yi, Zhiyan
• Corporate Creators:
  University of Utah. Department of Civil and Environmental Engineering
• Corporate Contributors:
  Utah. Dept. of Transportation. Research Division
• Subject/TRT Terms:
  • Equipment maintenance
  • Graders
  • Life cycle analysis
  • Loaders
  • Snowplows
  • Sweepers
  • Trucks
  • Vehicles and equipment
  • Benefit cost analysis Replacement analysis
• Publication/ Report Number:
  UT-21.09
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  Utah. Dept. of Transportation. Research Division
• Abstract:
  In this project, we analyzed the optimal life cycles for three types of trucks for the Utah Department of Transportation (UDOT) using a macro-level approach. The types of truck include loaders, graders, and sweepers. The life cycle analysis follows a similar procedure with respect to the optimal life cycle analysis for Class 8 snowplow trucks that was conducted in 2019. Currently, UDOT has managed these trucks since 1988. The increase of service span leads to lower performance efficacy and higher maintenance costs. To this end, we performed a data-driven approach for optimal life cycle analysis. The numerical results indicated different replacement cycles for the three types of trucks. Specifically, the optimal life cycle for sweepers is 4 years due to its relatively lower purchase price and high maintenance cost. In contrast, the optimal life cycles for loaders and graders are 8 and 9 years, respectively. Moreover, we analyzed the life cycles and total costs under different scenarios, and subsequently provided appropriate time windows for truck replacement.
• Format:
  PDF
• Funding:
  20-8206
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/56870/dot_56870_DS1.pdf
• File Type:
  [PDF - 1.22 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:10cbd61a7d382239820c6f9c9131b754ea8f6a36cb4e73cd1420ae5364ef625163dc7a94be2f6ea31e81223d84ae03624ca0308e381db42c60829a987d397e1e