Role of Sensors in Intelligent Manufacturing Systems

Bocevska, Andrijana and Neshkov, Todor (2014) Role of Sensors in Intelligent Manufacturing Systems. In: XII International SAUM Conference on Systems, Automatic Control and Measurements, Nevember 12-14 2014, Niis, Serbia.

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Abstract

Globalization, exchangeable market requirements and modern lifestyle trends establish tremendous challenge to manufacturing industries. Today, the competitiveness of any manufacturing industry is determined by its ability to respond quickly to the rapidly changing market and to produce high quality products at low costs. However, the product cost is no longer the predominant factor affecting the manufacturers’ perception. Other competitive factors such as flexibility, quality, efficient delivery and customer satisfaction are also subject of consideration. Manufacturing industries have an ambition to achieve these capabilities through automation, robotics and other innovative concepts. Intelligent manufacturing systems (IMS) are means to accomplish the requirements such as reduction of inventories and market-response time to meet customer demands, flexibility to adapt to the changes in the market, reducing the cost of products and services to include more market shares as well as elimination of worker hand intervention. All IMS subsystems are equipped with highly effective sensors for perceiving inputs and acting accordingly. This paper defines the components of a simplified intelligent manufacturing systems (IMS) and illustrates the classification of the most frequently used kinds of sensors (tactile, proximity, vision). Correctly selected, installed and trained (programmed) sensor will significantly extend the operational capability of the system. Because CAx-technologies” (computer-aided technologies) are an integral part of every intelligent manufacturing this paper also presents uses of their integration.

Item Type: Conference or Workshop Item (Speech)
Subjects: Scientific Fields (Frascati) > Engineering and Technology > Mechanical engineering
Divisions: Faculty of Information and Communication Technologies
Depositing User: Fikt Eprints
Date Deposited: 13 Mar 2020 13:16
Last Modified: 13 Mar 2020 13:16
URI: http://eprints.uklo.edu.mk/id/eprint/4116

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