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

Multi-criteria Optimization of Electromechanical Modules: Part 2 - RAZOR 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-16.2016.28How to use a DOI?
Keywords
optimization, multi-criteria optimization, RAZOR, electromechanical modules, z-score, z-standardization
Abstract
The paper presents the second part a study conducted on multi-criteria optimization of electromechanical modules. This part focuses on the use of RAZOR method, which is a multi-criteria optimization outranking method, based on the so-called Z-score in statistics. The conducted study is motivated by understanding the fact that the task for designing such modules, as well as the task for selecting an existing module for a given application are multivariate. This leads to the need for implementing optimization based decision-making on specified criteria. The used method offers a new approach to solving multi-criteria optimization tasks and provides another tool to facilitate the decision-making process.
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-16.2016.28How 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 2 - RAZOR method
BT  - 6th International Workshop of Advanced Manufacturing and Automation
PB  - Atlantis Press
SP  - 157
EP  - 162
SN  - 2352-5428
UR  - https://doi.org/10.2991/iwama-16.2016.28
DO  - https://doi.org/10.2991/iwama-16.2016.28
ID  - Nikolova2016/11
ER  -