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1913: Henry Ford and the Assembly Line |
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Realizing that he'd need to lower costs  Henry Ford (Ford Motor Company) was inspired to create a more efficient way to produce his cars. Looking at other industries he and his team found four principles, which furthered their goal: interchangeable parts, continuous flow, division of labor, and reducing wasted effort.
The use of interchangeable parts meant making the individual pieces of the car the same every time. Therefore the machines had to be improved, but once they were adjusted, they could be operated by a low-skilled laborer. To reduce the time workers spent moving around Ford refined the flow of work in the manner that as one task was finished another began, with minimum time spent in set-up. Furthermore he divided the labor by breaking the assembly of the legendary Model T in 84 distinct steps. Frederick Taylor, the creator of "scientific management" was consulted to do time and motion studies to determine the exact speed at which the work should proceed and the exact motions workers should use to accomplish their tasks.
Putting all those findings together in 1913 Ford installed the first moving assembly line that was ever used for large-scale manufacturing. His cars could then be produced at a record-breaking rate, which meant that he could lower the price, but still make a good profit by selling more cars. For the first time work processes were largely automated by machinery.
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Expert system
Expert systems are advanced computer programs that mimic the knowledge and reasoning capabilities of an expert in a particular discipline. Their creators strive to clone the expertise of one or several human specialists to develop a tool that can be used by the layman to solve difficult or ambiguous problems. Expert systems differ from conventional computer programs as they combine facts with rules that state relations between the facts to achieve a crude form of reasoning analogous to artificial intelligence. The three main elements of expert systems are: (1) an interface which allows interaction between the system and the user, (2) a database (also called the knowledge base) which consists of axioms and rules, and (3) the inference engine, a computer program that executes the inference-making process. The disadvantage of rule-based expert systems is that they cannot handle unanticipated events, as every condition that may be encountered must be described by a rule. They also remain limited to narrow problem domains such as troubleshooting malfunctioning equipment or medical image interpretation, but still have the advantage of being much lower in costs compared with paying an expert or a team of specialists.
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