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DECISION SUPPORT SYSTEM FOR CHOOSING ROBOTS IN INDUSTRIAL PROCESSES

Paul Ciprian Patic

First published: 2018-06-20https://doi.org/10.5593/sgem2018/6.1/s24.021View metrics

Abstract

The purpose of this paper was to develop an application to help make the decision regarding the robot model that meets the required requirements. The decision, the primary component of the decision-making system, is an essential element of management, being its specific tool of expression. In fact, the qualitative level of the leadership of an organization is manifested by the elaborated and applied decisions. In practice there are two types of decisions: the leading decision and the management decision. The decision-making process involves a great deal of time, during which information is gathered and analyzed, people are consulted in order to shape the decisional situation. Essentially, the decision-making process consists of a set of steps through which the management decision is prepared, adopted, applied and evaluated. As a final result, we have watched the application provide a solution for choosing a dye robot model from a list of ?n? models, giving by several producers of industrial robots. This is done by analyzing and comparing the technical data and robot prices with the values imposed by the decision maker, following the studies conducted on the production line for their determination.

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Publication details

Title
DECISION SUPPORT SYSTEM FOR CHOOSING ROBOTS IN INDUSTRIAL PROCESSES
Authors
Paul Ciprian Patic
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Nano, Bio and Green - Technologies for a Sustainable Future
Publisher
STEF92 Technology
Year
2018
Pages
155-162
SWS Citekey
Patic201824155162
ISSN
1314-2704
ISBN
978-619-7408-50-8
Language
en
Publication type
Conference Paper
Keywords
References11
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  2. . Burstein F. and Holsapple C.W., Handbook on Decision Support Systems 1, Springer, Berlin 2008.

  3. . Crauciuc R. G., PC Assistance of the Decisions in Industrial Robots Systems, Dissertation Thesis (supervised by Filip F. G.), Targoviste, 2012.

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  5. . Davis, Gordon, Management Information Systems: Conceptual Foundations, Structure, and Development. New York: McGraw-Hill, Inc., 1974.

  6. . DeSanctis and Gallupe, Base of the Group Decision Assistance Systems Study, 1987.

  7. . Duta, L.; Caciula, I.; Patic, P. C., Column Generation Approach for Disassembly Line Balancing, 8th IFAC Conference on Manufacturing Modelling, Management and Control (MIM), Troyes, France, June 28-30, 2016, International Federation Automation Control – IFAC, Proceedings IFAC Papers online, Volume: 49, Issue: 12, pp: 916 – 920.

  8. . Filip, Florin Gh., Decision support systems, Technica Publishing House, București, 2004.

  9. . Keen, P. G. W. and M. S. Scott Morton, Decision Support Systems: An Organizational Perspective. Reading, MA: Addison-Wesley, 1978.

  10. . Little, J. D. C., "Models and Managers: The Concept of a Decision Calculus". Management Science, April 1970.

  11. . Sprague, R. H., Jr. and E. D. Carlson, Building Effective Decision Support Systems. Englewood Cliffs, N.J.: Prentice-Hall, Inc., 1982.

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