Title page for ETD etd-32998-134834

Type of Document Dissertation
Author Mitchell, Zane Windsor Jr.
Author's Email Address zane@vt.edu
URN etd-32998-134834
Title A Statistical Analysis Of Construction Equipment Repair Costs Using Field Data & The Cumulative Cost Model
Degree PhD
Department Civil Engineering
Advisory Committee
Advisor Name Title
Vorster, Michael C. Committee Chair
Beliveau, Yvan J. Committee Member
de la Garza, Jesus M. Committee Member
Karfakis, Mario G. Committee Member
Martinez, Julio C. Committee Member
Schulman, Robert S. Committee Member
  • Construction Equipment
  • Earthmoving Equipment
  • Equipment Economics
Date of Defense 1998-04-28
Availability unrestricted
The management of heavy construction equipment is a difficult task. Equipment managers are often called upon to make complex economic decisions involving the machines in their charge. These decisions include those concerning acquisitions, maintenance, repairs, rebuilds, replacements, and retirements. The equipment manager must also be able to forecast internal rental rates for their machinery. Repair and maintenance expenditures can have significant impacts on these economic decisions and forecasts. The purpose of this research was to identify a regression model that can adequately represent repair costs in terms of machine age in cumulative hours of use. The study was conducted using field data on 270 heavy construction machines from four different companies. Nineteen different linear and transformed non-linear models were evaluated. A second-order polynomial expression was selected as the best. It was demonstrated how this expression could be incorporated in the Cumulative Cost Model developed by Vorster where it can be used to identify optimum economic decisions. It was also demonstrated how equipment managers could form their own regression equations using standard spreadsheet and database software.
  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  NELgrapher.xls 46.08 Kb 00:00:12 00:00:06 00:00:05 00:00:02 < 00:00:01
  Rebuild.xls 76.29 Kb 00:00:21 00:00:10 00:00:09 00:00:04 < 00:00:01
  zmitchel.pdf 1.02 Mb 00:04:42 00:02:25 00:02:06 00:01:03 00:00:05

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