I’ve
been there, done that
by R.T. “Chris” Christensen
Been
there, done that. Yep, that’s me. During my years in the
manufacturing industry, I used many of the processes and tools
incorporated in the term “lean manufacturing.”
So,
when you say “What’s new?” or “I need to look at the newest
and best available,” understand that this is a new toolbox with old
tools in it.
Manufacturing
is all about value-added conversion. We take a raw material — steel,
plastic, paper, ground beef, etc. — and convert it (add value) to
make a product that the customer perceives as worth the money he or
she spent. Nothing is new here.
The
tools used to convert ground beef into hamburger are pretty much the
same as 50 years ago. Sure, the product has changed and there are some
twists in the way we bring it into the market, but the basic process
of bringing the product to market is essentially the same, with one
notable exception. Computers now allow us to accurately maintain,
control and manipulate massive amounts of data in very short periods
of time.
With
computers, we can forecast quicker on larger databases. It’s cheaper
but not necessarily better. Data is data, and the computer does the
math on the data we provide. The computer doesn’t make the data more
accurate. It just processes it quicker. This lets us process orders
quicker and with fewer math errors, but we are still the brains behind
what we want the computer to do. This is where we get to the concepts
of lean manufacturing.
What
we use to make that hamburger is enhanced by lean manufacturing. Like
the computer analogy, the tools are the same today as they were years
ago. The major difference is that in lean manufacturing, all of the
processing tools are brought together.
By
aligning them, we recognize the interrelationships between the various
process improvement tools and integrate them into an overview process.
This lets us maximize the benefits. We place tools like value stream
mapping, 5-S, single-minute exchange of dies (SMED), Six Sigma quality
management, supply chain theory, cellular manufacturing, just in time
and take time flat-rate manufacturing under a single umbrella so we
understand the impact on our process improvement capabilities.
By
impact, I mean that a decision to implement a specific tool has an
effect on more than the initial objective. The interrelations between
the concepts must be fully understood to gain the benefits of a
tool’s implementation. Let me explain how this works.
I
can reduce inventory in your operations in a few short months. All I
need to do is stop buying raw materials. I’ll have a reduction in
inventory, but obviously this is not an acceptable solution. Yet
people who supposedly understand the error in this thinking still do
it. The impact of reducing inventory in this model has a negative
impact on the company. With no materials, it can’t transform raw
materials into a salable product. The company would go out of
business. Let me explain further.
Years
ago, in my plant days, I had a bottleneck operation in a facility. We
manufactured control valves. We started with aluminum ingots, which
were cast into valve bodies. We then performed all the machining,
assembly, testing, etc. The machine shop was our bottleneck. It was
the limiting factor on our total production output. We had excess
inventories of raw castings that awaited machining and had long lead
times to get the product completed: a 10-week span from ingot to
shipping dock. That translated into 10 weeks of work-in-process (WIP)
inventory.
Corporate
focus was on inventory reduction and shortened lead times. At
the time, we were just beginning to understand the interconnections of
lean, and had problems in the operations. The corporate focus was on
the end results: less inventory and short lead times. So, we cut
inventories by building less. Then we promised the customer shorter
lead times, but didn’t do anything to accomplish that. What
happened? We reduced inventory, ran out of materials and our delivery
times became even longer. Then came the hot list, which only
resequenced jobs for which we didn’t have parts. We dug a deeper
hole for ourselves.
Only
later did we realize that the machine shop bottleneck was caused by
massive amounts of lost capacity in setup time. The tool we needed was
SMED. With this tool, we shortened the setup time from 4 hours to 30
minutes and accomplished most of that in about three months. We
started to understand the interconnection in the tools.
Quick
setup times gave us additional run hours, and in three months we
gained enough time to totally eliminate most of the raw casting
inventory. By not having to move parts through a four-week inventory
hold, we cut the lead time to six weeks. By quickly completing the
machining process, we enabled the scheduling group to better plan
assembly. That got us another week. Then we reduced batch sizes and
eliminated another week of lead time to get finished parts out of
machining. Now, we delivered with a four-week lead time and eliminated
most of the WIP inventory of raw castings.
Lean
helped us understand what factors drove the large inventories and long
lead times and determine what tool we needed to select from the lean
toolbox to realize our objectives. By seeing the interconnection in
the process, we understood that all of the elements in our process
were affected by improved setup times.
Here
is the real power of lean manufacturing. It gives us a total view of
the objectives and what we need to accomplish. We see the effects on
the organization and that we need to work together to resolve issues
that impact time to market.
Take
a look at your company and think about how you can use some of these
tools to your advantage.
It
works. I’ve been there, done that and have the commemorative T-shirt
to prove it.
R.T.
"Chris" Christensen is the director of the University of
Wisconsin School of Business' operations management program. If you
have a question, contact Coach Christensen by phone at 608-441-7326 or
e-mail cchristensen@execed.bus.wisc.edu.
This
article appeared in the October/November 2003 issue of
MRO Today
magazine. Copyright 2003.
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