This research addresses fleet-sizing for reusable containers that are used for
protection, transportation, and storage of parts between a component plant and
assembly plant. These reusable containers are often expensive and occupy a
large amount of storage space when empty and full. Having a large container
fleet comes with higher acquisition, maintenance, and storage costs, but
decreases production down time caused by the lack of containers needed for
storage. A quantitative model of these trade-offs will permit decision makers to
maintain desired production levels at minimum cost. In this dissertation, the
relationship between container fleet size and production down time caused by
container shortages is researched. Utilizing both theoretical and empirical
approaches, two analytical models that include relevant operational parameters
and stochastic components are developed. The first is a container fleet sizing
model, and the second model estimates production stoppages as a function of
container fleet size.
The formulas are shown to be accurate and provide decision makers with the
tools to better plan and manage specific applications. The formulas also
provide general insight into the factors that affect container fleet size and
production stoppage due to container shortages. / Graduation date: 2012
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/28101 |
| Date | 06 December 2011 |
| Creators | Park, SeJoon |
| Contributors | Kim, David S. |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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