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: https://eprints.uklo.edu.mk/id/eprint/4116

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