This research addresses the large-scale group fleet replacement problem with
multiple vehicle types of multiple units, under budget and demand constraints. Past
research in group fleet replacement is limited and has focused on one vehicle type,
with multiples units and constraints. Many studies in fleet replacement have also
dealt with single replacement, with single units, and with no constraints. The
objective of this research is to find the methodology to solve the general large-scale
group fleet replacement problem.
A multi-phase methodology based on the grouping concept is presented and
is integrated with optimization techniques. The vehicles are grouped according to
various technology parameters. A two-level hierarchical replacement process,
focusing on inter-group, and intra-group analysis, is developed and the resulting
models are solved using integer programming. Finally, a case study using the
Oregon Department of Transportation records is examined.
The replacement model presented can incorporate complex variations in the
large-scale group fleet replacement problem. It is flexible and can be used in wide
variety of replacement problems. Used appropriately, the results from this
methodology can result in reduced fleet replacement costs and operation costs. / Graduation date: 2001
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/32541 |
| Date | 12 April 2001 |
| Creators | Somboonwiwat, Tuanjai |
| Contributors | West, Thomas M., Randhawa, Sabah U. |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
Page generated in 0.0017 seconds