The Assignment
Business Logistics was
contracted by a large postal services organization to identify the
optimum locations for its distribution centers in the United States.
This client operated under various federal, state, and local constraints
that needed to be considered in developing an optimized distribution
network.
Our
Strategy
Our strategy called for
developing a database of shipment activities for this client, including
branches and major offices served using a zip code geographic concept.
We "geocoded" this information using a latitudinal and
longitudinal algorithmic formula that was used to generate a visual
depiction of the client's operations that we plotted on U.S. maps.
Using a weighted center-of-gravity approach we identified major
business activity "clusters" for the client. These "clusters"
represent hubs, or centers of activity that fed outlying locations
and customers. By rolling these clusters up to a higher-level analysis
we identified key distribution points that could serve as primary
distribution centers for the organization.
We calculated shipment and delivery costs from the proposed primary
distribution centers to the hub locations, creating an optimized
logistics services model with cost projections. This information was enhanced
by demographic information pertaining to the proposed distribution
center cities, including labor availability, labor costs, housing
availability an costs, environment, schools, and other quality and
cost of life factors.
Results
Achieved
We submitted recommendations
for distribution location improvements to our client and they were
adopted. The client's estimated savings as a result of our work
was over 16% of total logistics costs, for an annual savings of
over $4 million.
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