A systems-perspective study of the performance of different supply chain inventory models
Abstract (Summary)
The purpose of this dissertation was to contrast the
performance of two different categories of inventory models
used by organizations in supply chains. The two categories
of inventory models to be contrasted were either consistent
with a traditional inventory model (e.g., the min-max) or
with a strategic buffering methodology derived from
distribution applications of Goldratt’s Theory of Constraints.
A significant amount of research has been conducted on
supply chains consisting of two echelons (e.g., a supplier
and some number of retailers that are served by the
supplier); however, far less research has explored the
behavior of longer supply chains (i.e., those having more
than two echelons). This research makes a contribution to
the understanding of the behavior of supply chains consisting
of more than two echelons.
In this research, a simulation model is presented that
represents the flow of inventories of multiple items in a
four echelon supply chain. Results from employing the
simulation model are presented and discussed. The behavior
of the simulated supply chain, using both categories of
inventory models, is then analyzed.
The results of the simulation showed that the use of a
strategic buffering inventory model can provide performance
that is superior to that of a traditional inventory model.
However, strategic buffering must be implemented correctly
in order to achieve this improvement in performance, as
there are ways of implementing strategic buffering that
lead to lower performance than that achieved by the
traditional inventory model.
Bibliographical Information:
Advisor:
School:The University of Georgia
School Location:USA - Georgia
Source Type:Master's Thesis
Keywords:
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Date of Publication: