Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation

Multi-criteria Optimization of Electromechanical Modules: Part 1- PROMETHEE method

Authors
Ina D. Nikolova, Dimitrinka S. Dahterova, Vanio D. Ivanov, Hirpa G. Lemu
Corresponding Author
Ina D. Nikolova
Available Online November 2016.
DOI
https://doi.org/10.2991/iwama-16.2016.23How to use a DOI?
Keywords
optimization; multi-criteria optimization; PROMETHEE; electromechanical modules
Abstract
The paper presents a study conducted to make multi-criteria optimization of electromechanical modules with a goal of providing easier tools for decision-making involving complex decision parameters. The work is motivated upon understanding that the task of both designing electromechanical modules and selecting an appropriate electromechanical drive for concrete application are multivariate. This leads to the need for performing an optimization of the selected electromechanical modules. The work reported in the paper focuses on use of one of the methods in the area, i.e. PROMETHEE method, which has shown good results to find compromise solution of decision-making task under conflicting parameters.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
6th International Workshop of Advanced Manufacturing and Automation
Part of series
Advances in Economics, Business and Management Research
Publication Date
November 2016
ISBN
978-94-6252-243-5
ISSN
2352-5428
DOI
https://doi.org/10.2991/iwama-16.2016.23How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ina D. Nikolova
AU  - Dimitrinka S. Dahterova
AU  - Vanio D. Ivanov
AU  - Hirpa G. Lemu
PY  - 2016/11
DA  - 2016/11
TI  - Multi-criteria Optimization of Electromechanical Modules: Part 1- PROMETHEE method
BT  - 6th International Workshop of Advanced Manufacturing and Automation
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/iwama-16.2016.23
DO  - https://doi.org/10.2991/iwama-16.2016.23
ID  - Nikolova2016/11
ER  -