1970s: Computer-Integrated Manufacturing (CIM) Since the 1970s there had been a growing trend towards the use of computer programs in manufacturing companies. Especially functions related to design and production, but also business functions should be facilitated through the use of computers. Accordingly the CAD/CAM technology, related to the use of computer systems for design and production, was developed. CAD (computer-aided design) was created to assist in the creation, modification, analysis, and optimization of design. CAM (computer-aided manufacturing) was designed to help with the planning, control, and management of production operations. CAD/CAM technology, since the 1970s, has been applied in many industries, including machined components, electronics products, equipment design and fabrication for chemical processing. To enable a more comprehensive use of computers in firms the CIM (computer-integrated manufacturing) technology, which also includes applications concerning the business functions of companies, was created. CIM systems can handle order entry, cost accounting, customer billing and employee time records and payroll. The scope of CIM technology includes all activities that are concerned with production. Therefore in many ways CIM represents the highest level of automation in manufacturing.

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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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