Robots:
Flexible Automation for a Strong Economy
by Donald A.
Vincent, Executive Vice President, Robotic Industries Association
(posted 02/11/2005)
Just
how should American manufacturing react to the cheap
foreign labor available overseas? Many people have answered
this question by proposing tariffs and organizing boycotts,
but others are taking a much more productive and proactive
approach. More companies in a growing number of industries
are recognizing that wealthy societies such as the U.S.
have an important advantage—access to advanced technology
like robotics.
Today’s
manufacturers can deploy a generation of robots that
have evolved tremendously since Joseph Engelberger and
George Devol built the first prototype in 1959. Not
only have the precision and accuracy of these robots
improved by orders of magnitude, but the enabling hardware
and software now has the horsepower to perform a wide
variety of jobs—from painting cars and tending machinery
to populating printed circuit boards and putting pills
in packages. The best news about modern robots is that
they have evolved to the point where they are readily
available and relatively inexpensive. Even the smallest
companies have the ability to deploy them with a great
deal of success.
Most
companies reaping dividends from their investments in
robotics have used the automobile industry as a benchmark.
Still the largest users of the 137,000 robots already
at work in North America (according to 2004 statistics
from the industry trade group: Robotic Industries Association),
the automakers were the first manufacturers to deploy
them in their factories. General Motors Corporation’s
Turnstedt Division plant in Trenton, New Jersey, deployed
the first commercially available industrial robot in
a die-casting operation in 1961. There, the robot relieved
the operator from having to remove hot parts from a
die-casting machine producing decorative body hardware.
Not only did the operator have to work in a hot, fume-filled
environment, but he also had to wear protective gear
to shield him from splashes of hot metal.
For
the next two decades, subsequent applications at General
Motors and elsewhere would focus on relieving people
of dangerous, dirty and difficult jobs until the early
1980s, when builders began introducing models using
servomotors and microprocessor-based controllers. Although
the old hydraulic robots excelled at handling the heavy
payloads found in the automobile industry, they were
slow compared to conventional automation and cumbersome
to program, and often leaked oil. The new servo drives
and microprocessor-based controllers introduced during
this decade solved these problems and opened the door
to many more applications in electronics, food processing,
appliance manufacturing, mechanical assembly, and packaging.
A
new era began for robotics. Manufacturers began to deploy
robots to boost processing speeds and improve quality
in a variety of manual and automated applications, rather
than mainly to relieve workers of dangerous, dirty,
and difficult jobs. By the late ’80s, a critical mass
of robots had gone to work in a variety of industries,
which translated to lower robot prices. Because robots
could automate jobs that require dexterity and flexibility
without demanding a huge investment in dedicated machinery,
the number of companies that could afford them grew
significantly, which quickly spurred more development.
By
the early ’90s, the evolution of robots to servodrives
and microprocessors had a profound effect on how the
robot was used in automated processes. Industry turned
its attention to developing tools that would take advantage
of the improvements in the robots. Technology like tool
changers, machine vision, force feedback, and integrated
software application packages allowed the robots to
become easier to setup and program, as well as perform
more difficult tasks. Consequently, the design of the
automated system could use the robot as the centerpiece
of the automated process. The focus could now be on:
‘‘How much can a single robot do in an automated cell?’‘
The effect was that instead of justifying a robot based
on a dangerous, dirty or difficult work, the justification
for capital expenditure could now include faster production,
flexibility, quality and the automation of tasks that
could not be automated using older technology.
What
about Workers?
As robots continue to gain greater acceptance and become
more widespread, some observers wonder about the welfare
of workers. They ask, do robots simply replace low-paid
workers and threaten well-paying jobs? The answer is
yes and no. Although robots do replace people in some
applications, they usually do so in undesirable, risky
jobs that are better suited for machines anyway. In
most of these cases, the only reason that a person was
doing the job in the first place was that other automatic
equipment was too expensive and impractical for the
task. Because modern robots are flexible and fast, they
not only can do these jobs but also have the ability
to replace other forms of dedicated or less flexible
automation. So, many robots today actually are replacing
other machines.
Even
though robots sometimes do replace people, one must
remember that they also create opportunity. In other
words, workers benefit from the fundamental precept
of macroeconomics that says that advancing technology
is the only way for a people to increase their standard
of living in the long run. Advancing technology is the
only way to increase productivity (making more, better
for less) in a sustainable, desirable, and safe way.
In addition, the expansion of automation is creating
new jobs and opportunities.
Most
labor unions have recognized robots as one of these
technologies and have strived to reap some of the benefits.
Because these machines have proven that they can improve
productivity of workers and give companies flexibility
in their production lines to be competitive, unions
see them as a means of not only relieving workers of
unsafe, undesirable tasks but also protecting their
jobs from cheaper labor overseas. So rather than fighting
the technology, most unions embraced it, negotiating
with management to train their members to operate it.
Promoting
Flexible Manufacturing
Given the success in the automobile industry, other
industries have followed the automakers’ lead and learned
many of the same lessons. In labor-intensive jobs, such
as populating circuit boards and decorating cookies,
robots relieved workers of the tedium and injuries associated
with repetitive tasks. Not only did they automate tasks
that needed a measure of dexterity and the flexibility
to react to change on the fly, but they also could perform
the tasks faster and more consistently than people.
On production lines already using other forms of automation,
they also were able to introduce a measure of flexibility
similar to manual operations.
In
the food-processing industry, for example, Connecticut-based
Pepperidge Farm Inc. began dabbling in robotics in the
mid ’80s to cure the rising number of repetitive motion
injuries among the workers on its cookie lines. Rows
and rows of workers along long moving belts had been
picking up thousands of cookies all day long for 10
to 20 years, decorating some, making others into filled
sandwiches, and sorting and putting all of them into
packages. Although demand had grown for the company’s
products, the volume of any one of them was still too
small to pay for the dedicated automation that was available
at the time for these tasks.
Robots
changed things, however. In them, the company had finally
found a form of automation that could accommodate its
different, delicate products and various packaging schemes.
When the company began installing them on its decorating
and packaging lines, its workers’ compensation cases
fell substantially.
As
the production staff gained experience and robotics
technology continued to advance, the company began to
reap more than just a safer working environment for
its employees. It has learned to use the more than 100
robots it bought over the years to enhance productivity
and react to market trends competitively.
Not
only do the robots perform their jobs much faster than
people, but they also let Pepperidge Farm reap some
important benefits of flexible automation. For example,
at the Milano chocolate-filled cookie line, robotic
handling improves product quality by eliminating fingerprints
in toppings and reducing other forms of damage to the
cookies. The ability to download a new program into
the robots is an important part of the company’s ability
to follow demand. The company can change over its automated
production and packaging lines to deliver products in
whatever formats its customers want. Walmart, for example,
might want fifteen Milano cookies in a special wrapped
tray, whereas Target might want ten cookies in another
type of package. All Pepperidge needs to do to accommodate
a change in buying habits among consumers is to reprogram
the robots to put the cookies in a new package.
This
ability to accommodate different and changing tastes
with little effort is prompting more manufacturers of
consumer goods to install robots in their plants. Pressure
only continues to mount to deliver products that satisfy
changing consumer tastes quickly without having to hold
inventories. Because modern robots combine the flexibility
previously associated with people and the productivity
possible only through automation, more manufacturers
are interested in the ability of robots to help their
production lines to produce to demand.
Shoes
Still Made in USA
In fact, the flexibility of robotics is the reason that
Boston-based New Balance Athletic Shoe Inc. can continue
to make its running shoes in the U.S., yet be competitive
with other brands made in Asia. When robotics technology
matured enough for builders of sole molding machines
to integrate robots into their products, New Balance
bought one of these machines to automate that part of
a line that produced its running shoes. The three robots
tending the machine reduced the total labor necessary
to run it by 31% yet preserved the company’s ability
to make a mix of sizes economically.
Shoemaking
demands a great deal of flexibility because of its complexity.
Unlike microwave ovens, for example, each style of shoe
must fit a variety of people. Each style has approximately
75 stocking units (the various combinations of different
lengths and widths), and each stocking unit comes in
a pair to fit both feet. So satisfying demand for the
various sizes of any one style requires frequent changeovers,
a fact that has made shoemaking a labor-intensive business.
Any form of automation must be flexible enough to accommodate
the mix of sizes.
Because
automating every aspect of the process is still impractical
for the lot sizes at New Balance, the shoemaker configured
the process for a mixture of people and robots. While
the robots perform the repetitive tasks, the people
perform those tasks that require judgment, such as checking
the quality of the molded soles, adjusting the molding
parameters, and making the machine ready to produce
different sizes of shoes. On an average day, the machine’s
operators change three or four pairs of molds so the
stations can produce a batch of different-size shoes.
Changeovers take about 20 minutes.
A
Bright Future
The stories at New Balance and Pepperidge Farm are representative
of a trend in the application of robots. Although automobile
manufacturing alone still drives 50- to 60-percent of
the industrial robot industry, a much more diverse base
of users is installing robots into their machinery and
processes. And judging by how fast the robot sales are
recovering from the last recession, they are eager to
do so. In fact, domestic orders in 2004 got off to the
fastest start since the record-setting year of 1999,
and this strong rebound is expected to continue in 2005.
Feeding
this heightened interest is the dramatic fall in the
cost to buy, outfit, and maintain robots. Not only have
suppliers of robotic equipment been able to amortize
their development costs over the years over a growing
number of units, but they also have been able to exploit
the tremendous, but cheap computing power available
today. Consequently, suppliers have been free to encode
a great deal of intelligence into their software to
simplify programming and diagnostics. Because of the
lower purchase price and operating costs, robots now
fit comfortably in the budgets of small operations.
Intelligence encoded in software running behind the
scenes to interpret sensory feedback is also helping
robots to cope with new challenges. The advantage of
such feedback allows the robot to perform more of the
decision-making process based on a visual or force feedback,
much as a person would do.
The
ability to collect and use this sophisticated feedback
not only will reduce the need for expensive fixtures
and handling mechanisms to present parts to robots in
a known orientation but also will add much needed flexibility
in the process. Manufacturers using robots equipped
with this technology will be serious contenders in today’s—and
tomorrow’s—global marketplace. They will have a method
for designing and delivering new products customized
to the tastes of consumers in local markets before demand
wanes from changes in customer taste. With flexible
automation, they no longer need long lead times to design
processes to make the product, order the equipment,
and build the tooling to support it. Instead, they can
reprogram their robots and begin producing quality products
now.
As
robotic technology continues to advance, robots will
only continue to find their way into an increasing variety
of applications. They already have made significant
inroads beyond their long-standing applications in the
metalworking industries. They are working in the furniture,
woodworking, plastics processing, food processing, pharmaceutical,
and medical industries. Researchers even are using robots
to conduct multiple trials in laboratories, and surgeons
are beginning to learn to use them in operating rooms.
These
people have taken a proactive approach to the problem
of cheap foreign labor. Rather than proposing tariffs
and organizing boycotts, they have chosen to reduce
their unit costs the smart way: by investing in robotic
technology and competing with capital, not wages. Robots
give them both the flexibility and dexterity available
from people and the repeatability and speed associated
with automation. The result is more productivity, the
surest and most positive form of sustaining strong profits
and remaining competitive. |