In this final posting of my 6-part series on Part’s Replenishment
Systems, Bruce Nelson lays out a very simple, but absolutely relevant example
of just how the TOC Distribution and Replenishment Model works. Bruce and I hope that you have enjoyed this
series and that many of you have seen the same problems with your current
replenishment system, but at the same time, realize that there is a better
way. Bruce did an excellent job of writing
this appendix insert in our book Epiphanized: Integrating Theory of Constraints, Lean and Six Sigma.
Perhaps the best way to explain the TOC Distribution and Replenishment
Model is with an easy example. Consider a soda vending machine. When the
supplier (the soda vendor) opens the door on a vending machine, it is very easy
to calculate the distribution of products sold, or the point-of-use
consumption. The soda person knows immediately which inventory has to be replaced
and to what level to replace it. The soda person is holding the inventory at
the next highest level, which in on the soda truck, so it’s easy to make the
required distribution when needed. He doesn’t leave six cases of soda when only
twenty cans are needed. If he were to do that, when he got to the next vending
machine he might have run out of the necessary soda because he made
distribution too early at the last stop. After completing the required daily
distribution to the vending machines, the soda person returns to the warehouse
or distribution point to replenish the supply on the soda truck and get ready
for the next day’s distribution. When the warehouse makes distribution to the
soda truck, they move up one level in the chain and replenish from their
supplier. This type of system does require discipline to gain the most
benefits. It assumes that regular and needed checks are taking place at the
inventory locations to determine the replenishment needs. If these points are
not checked on a regular basis, it is possible for the system to experience
stock-out situations.
Conclusions
The distinct contrast in
results between simulated data runs using the minimum/maximum supply system
and the TOC Distribution and Replenishment Model are undeniable. The true
benefits of a TOC-based parts replenishment system are many, but the most significant
impact is realized in these two areas. The
first benefit is the reduction of total inventory required to manage and
maintain the total supply-chain system. This inventory reduction could lead to
a significant dollar savings in total inventory required, perhaps thousands of
dollars.
The second benefit is the elimination of stock-out situations.
Without a doubt, not having parts available is an expensive situation because
it slows throughput through the production system. Production lines sit idle,
waiting for parts to become available. Or worse yet, they start making products
that aren’t needed only because parts are available, and everyone needs to be
kept busy. Stock-out situations increase frustration, not only in not being
able to complete the work, but also in the time spent waiting for parts to
become available. When this happens, orders will be delivered late, and
customers will be frustrated.
Looking for parts and
experiencing part shortages are a continuing problem in most supply-chain
systems. These problems are not caused by the production people, but by the
negative effects of the supply-chain system and the way it is used. If the
current supply system is maintained, then the output (results) from that
system cannot be expected to change much, if at all. However, if new levels of
output are required from the system now and in the future, then new thinking
must be applied to solve the parts supply-system issues. The concepts and
methodologies of the TOC Distribution and Replenishment Model can positively
impact the ability to produce products on time and in the correct quantity.
Bob Sproull
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