The business cycle is indeed a cycle. Tech folks would call it a sustained
oscillation. They would explain that if a system oscillates, it is usually
because there is some delayed response in one part of the system attempting to
react to an undesired state in another part of the system. For the bullwhip
effect in supply chains we looked at earlier in this series, the undesired
state was the size of the order backlog and the reaction took place in the
production start rate. But, how about the business cycle?
Quite a few economists and stock market gurus will tell you that the business
cycle has very little to do with supply chain dynamics. It's all about the
state of the world economy, technology discontinuities, interest rates,
productivity gains, exchange rate imbalances and so on. Well, all such factors
could undoubtedly be taken into account.
Nevertheless, I strongly believe internal supply chain dynamics and the
structures that generate them, not external shocks, are to a large part
responsible for business cycles in innovation driven industries. To explain
why, let's look at one of my favorite high-tech sectors, the semiconductor
industry. This sector had its best-ever year in 2000, when worldwide demand
grew some 30%, only to collapse dramatically in 2001. At that time, I was
working with one leading integrated circuit ("IC") manufacturer, and their
experiences may be fairly representative for the industry as a whole.
In the summer of 2000, one key customer of this company predicted that for the
next two years their demand would be greater than what their supplier could
manufacture. In September, we started a so-called "collaborative planning"
pilot with them, in which supplier and customer shared their internal
production and forecast data. It came as a complete surprise that more supplies
were in the pipeline than there was demand. It took several weeks and repeated
calculations to convince management on both sides that this was not an IT tool
error but actual fact. Later, in the first quarter of 2001, the first revenue
shortfalls were reported. Nevertheless, several CEO's declared that this was
only a temporary dip, and overall prospects were fine. Production forecasts
remained optimistic for at least the second quarter of 2001. As it turned out,
2001 was disastrous, and 2002 was only slightly better.
What really happened? Here we have to look at the underlying dynamics. The
earliest warning signals came from the 1999 order book. More new orders were
booked than deliveries made. The ratio of these two is called the book-to-bill
ratio and is a good early warning signal for mood changes in the industry. If
more orders are coming in than are going out, order backlog, being the
cumulative difference of these two, is rising. And so it happened. In this
industry, it is common knowledge that if order backlogs are rising and capacity
is fixed, pretty soon customer order fill rate percentages are going to drop
and delivery lead times will go up. Everybody knew this at the time, but still
nobody dared to say "No," to customers. In fact, those supply chain managers
who tried quickly received a phone call from their general manager saying that
"No," was not an option for their valued customer.
And so, delivery performance dropped. From the bullwhip effect, we know that
customers will start over-ordering when they see that they are getting less
than what they requested. This is called "shortage gaming," and is quite common
in the semiconductor industry. As a result, IC factories were as busy as they
could be, going well beyond capacity. This led to a second sky-high
accumulation after the rise in the order backlog of 1999-2000, which led to the
rise of inventory levels in 2001 and 2002 after the bubble burst. Semiconductor
manufacturing lead-times are 10 to 20 weeks, so if you start decreasing new
production about three quarters of a year after real demand has started to
taper, there will be a big pile of inventory waiting for you at the end of the
production line.
What about the business cycle? Surely, all this is just bullwhip effects related
to material shortages and surpluses, and the business cycle is about
discrepancies between capacity and demand, isn't it? Well, yes, precisely. The
third accumulation that is evident from company and industry data is the rise
in production capacity. As inventory increases started later than order backlog
increases, but lasted longer, the same was true of capacity increases. It took
some time before company management really believed that the market would be
there for expensive new capital investments. Getting new fabrication plants and
assembly lines financed, built, tested and in operational state took longer. By
the time the industry was in one of its most serious downturns, most of the new
capacity was finally coming on line. This belief was based on the situation of
the supply chain one to two years earlier: gigantic order books and screaming
customers. The book-to-bill ratio had gone below 1.0 as early as the summer of
2000, but that fact was ignored.
The opposite happened in 2002 and 2003, not just with this particular company
but also with the IC industry as a whole. It took a long time to accept and
implement capacity reductions in line with demand. In 2003, worldwide industry
demand increased 16%. But, in the second half of that year, several
semiconductor facilities were still being closed down in a delayed response to
the production surpluses of 2001. Ironically, in 2004, sales increases will
even be higher. Again, there are considerable production shortages and more are
expected as demand grows higher and higher. The order books are rising sky-high
once more.
What can companies do about this? They could start by believing their own data
sooner, but usually this happens too late. It's not a lack of knowledge
regarding these supply chain control theory dynamics, certainly not in a
company full of highly trained engineers. The problem is that people are
collectively trapped in the system. Those that want to row against the current
may see their careers endangered by their counter-cyclical behavior. After all,
"10,000 lemmings can't be wrong." If you say we should slow down because your
data backs you up, but the whole industry is shouting you should go faster,
think twice before you raise your concerns too loudly.
Incidentally, there is a separate story to tell about those sectors that supply
capital goods to cyclical industries. IC manufacturing equipment is very
complex and expensive. For convenience, assume that it lasts ten years. That
means you need to replace 10% of your machines a year, on average. Now, say
that demand for your IC's grows by 10%. That means you need 10% extra capacity.
So, when customer demand for IC increases by 10%, demand for IC production
capacity increases by 100%. This is called the investment accelerator, and it
is a curse for most machine manufacturers.
Ironically, a little Euro-sclerosis can do wonders here and in cyclical markets
in general. If you are in the highly flexible job markets of the Far East or
the U.S., you can quickly fire staff once demand drops. Unfortunately, when
demand picks up again, you can no longer find the same people. So, the net
result is that average production experience in your work force drops. This
hurts productivity and production quality. In Europe, CEO's would love to do
the same with their work force, but their labor market regulations won't allow
it. For a change, that is a government policy that makes good business sense,
as most European electronics companies are very happy that they could not fire
all the excess staff they had in 2001 and 2002. In 2004, they urgently need all
the staff they have...and more.
This article is the fourth in a series of eight
articles by Akkermans about Supply Network Dynamics. The 4th Wave will be
described in the July/August edition of the Connector. To read the introduction
to this series, click here.