Historically, the streams of
material entering the supply chain are the result of multiple forecasts that
attempt to predict the requirements of each point of use within the chain. These
predictions are inherently complex, uncoordinated and inaccurate with a tendency
toward overestimation as a hedge against shortages. The cumulative effect is an
over abundance of inventory from raw materials to finished goods. Not only does
this inflate inventory costs, it also drives up material handling,
administrative, and storage costs. In contrast, the pull model is driven by only
two key variables: demand characterization and lead time. Simply put, the pull
model starts with the end of the chain and works back to the genesis; demand for
material at each point of use creates a replenishment signal that must be
satisfied within its standard lead time. This approach results in rapid
inventory turnover, focuses on the immediate "customer" at each point
in the supply chain, and is robust for manufacturing, assembly, distribution,
and retail contexts. Incorporating
cost and volumetric data in the pull model yields even greater optimization of
space and money.
The Global
Concepts' Advantage
Resources – Global
Concepts marshalls a unique combination of engineering logistics expertise,
business process analysis experience, software design and development skill, and
customer support to deliver best-in-class supply chain solutions. In addition to
a professional staff with a proven track record in these disciplines, we also
leverage external resources including The Logistics Institute, an industry,
government and university research and education consortium based at Georgia
Tech in Atlanta, Georgia and The University of Arkansas in Fayetteville,
Arkansas sponsored by the National Science Foundation. As a corporate member of
the Institute, Global Concepts draws upon and participates in leading edge
logistics research. We leverage new technology outputs as they emerge. As the
Industry Director of The Institute, our President and CEO, Don Stuart helps shape the research
program which ultimately leads to competitive advantage for our customers. In
addition, Global Concepts also partners with key staff of the University of Oklahoma
Industrial Engineering Department to design logistics software and implement
solutions; our software products reflect the cutting edge of logistics research.
Strategy –
Unlike
cookie-cutter approaches offered by other vendors, Global Concepts takes the time to
understand your business and engage your team in defining the problems to be
solved and then matching solutions to the desired target processes. If our
products are a good fit, we’ll demonstrate that for you prior to the sale; if
they are not, we won’t recommend them as part of a solution. In addition to
our engineering logistics and software development expertise, we pride ourselves
on providing exceptional customer service during the solution implementation
phase through to the stable target environment and beyond. We know that the
introduction of new technology is frustrating since expectations are high and
change is difficult. For this reason, we recommend implementation strategies
that phase in new processes and software at a pace you can manage.
Products – Global
Concepts' products
are designed to either stand alone or to be integrated into the broader context
of existing applications used to support your business. Our focus is engineering
logistics; we do not dilute our product line with mediocre offerings in an
attempt to satisfy all the needs of an enterprise. Since we are a niche company
by choice, we are particularly motivated to excel at providing robust
interfacing solutions to external applications; weak or poorly managed
interfaces can cripple the smooth information flow required to execute your
business processes. Our products are also designed with the flexibility to
support a variety of business scenarios without requiring your staff to assemble
the software equivalent of an erector set while blindfolded. We work with you to
set and try application parameters that best support your target processes.
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