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Automation
The logical ultimate in the evolution of mass production
processes is automation. In its ideal form, automation implies
elimination of all manual labour and the introduction of
automatic controls, assuring accuracy and quality beyond human
skills. Perfect automation has never been attained, but
sufficient equipment has been installed in many industries to
alter greatly the pattern of employment. Tasks formerly
performed by machine operators on a production line have come to
require only maintenance personnel, engineers, office employees,
production-control specialists, and some others. Although
automation has been described as a "revolutionary"
development, it is actually the end result of the trend of
mechanization that began with the Industrial Revolution.
The word automation was coined in the 1940s at the Ford Motor
Company and was first applied to the automatic handling of parts
in metalworking processes. The concept acquired broader meaning
when the American mathematician Norbert Wiener wrote about
cybernetics, which he defined as control and communication in
the animal and the machine. Wiener anticipated the application
of computers to a number of manufacturing situations. His
prediction that the introduction of automatic machinery would
swiftly give rise to mass unemployment was popularized during
the 1950s and '60s, causing considerable alarm. But automation
was not introduced as rapidly as foreseen, and other economic
factors have intervened to lessen the displacement of labourers.
Automation evolved from three interrelated trends in
technology: the development of powered machinery for production
operations; the introduction of powered equipment to move
materials and workpieces during the manufacturing process; and
the perfecting of control systems to regulate production,
handling, and distribution.
Devices to move materials from one work station to the next
included conveyor-belt systems, monorail trolleys, and various
pulley arrangements. The transfer machine, a landmark in
progress toward full automation, moves the workpieces to the
next work station and accurately positions them for the next
machine tool. The first known transfer machine was built by an
American firm, the Waltham Watch Company, in 1888; it fed parts
to several lathes mounted on a single base. By the mid-20th
century, transfer machines were widely employed in the
automotive industry, appliance manufacturing, electrical-parts
production, and many other metalworking industries, in which
they cut labour costs and improved quality by ensuring
uniformity and precision.
Automatic controls represented an innovation when applied to
all aspects of the production process. The simple cam,
automatically adjusting the position of a lever or machine
element, was an important control device in many early machines
and, during the 19th century, was used to make many machine
tools automatic. But cam devices have severe limitations in
movement, number of changes, speed, size, and sensitivity. True
automatic control cannot be attained unless the machine is
sensitive enough to adjust to unpredictably varying conditions.
This requirement demands the technique known as feedback, which
the microchip computer can perform in a fraction of a
second.
Some students of automation maintain that its primary goals
are not necessarily increased productivity or cost reduction but
product reliability and quality control. Other benefits promised
by automation include reduction of waste, improved plant safety,
and centralization of control. Still, the most visible initial
effects of automation have been reduction of costs and increases
in productivity.
Whereas the earlier phase of the Industrial Revolution had
resulted in assembly lines mass-producing identical parts for
mass markets, the introduction of the computer allowed
for custom-made, small-batch production. For example, in the
United States the chief investment in plants and equipment in
the 1980s went into information technology, such as computers
and telecommunications equipment. Such aids have allowed
American manufacturers to concentrate on "niche"
production--that is, supplying a limited segment of the market
with a specialized product and responding speedily to changes in
market demand. On the automobile assembly line, niche production
enables many cars containing different options demanded by
buyers to go down the same assembly line, with the computer
making certain that the proper items go into each separate car.
These potentialities of automation have created two new
fields: computer-aided design (CAD) and computer-aided
manufacturing (CAM), often linked as co-disciplines under the
title CAD/CAM. In a sense, CAD/CAM allows the mass production
system to manufacture customized, "handmade" articles.
The machinery can be adapted to a particular product through computer
programming, enabling work on small batches to achieve many of
the economies previously available only through mass production
of identical objects. Computer-aided design itself makes
possible the testing of production methods and the design of the
product by running tests (of such factors as ability to
withstand stress, for example) through the computer. If
necessary, the product design or the process can be modified
without going to the expense and time required for building
actual prototype models.
Automation not only gives flexibility to production, but it
also can cut down costly lead times in changing from one
production model to another, and it can control inventories to
provide a continuous flow of materials without expensive storage
requirements or investment in spare parts. Such efficiencies
lower production costs and help explain the growing strength in
world markets of the Japanese, who first introduced the
practice. Automation has also fostered the development of
systems engineering, operations research, and linear
programming.
Automation has not yet realized the dream of completely
robotized production. The first generation of industrial robots
could perform only simple tasks, like welding, for they became
confused by slight irregularities or differences in the objects
on which they worked. To overcome that difficulty, computer
scientists and engineers began developing robots with keener
sensitivity, thereby enlarging their capabilities. Although
progress has been made, it is clear that human beings must be
available to back up the robots and maintain their productivity.
When automation was first introduced, each of the robots
involved in complicated processes was controlled by a
microcomputer programmed to perform only one task. As these
processors could not communicate with one another and lacked
memory, it was hard to trace which particular processor was
responsible when something went awry. In the late 1980s this
deficiency was corrected by the introduction of general-purpose
computers, which bring together data from all the
microprocessing units and make them accessible on one screen.
This sped up the detection of problems and reduced the downtime
of machinery, thereby increasing productivity and lowering
expenses.
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