Practical common Weight Maximin approach for technology selection

Autores

  • Mousa Amini Corresponding author, MSc graduated of industrial engineering (System management and productivity), Alghadir nongovernmental and private higher education institution, Tabriz, Iran, E- mail: mr62.amini@gmail.com
  • Alireza Alinezhad Assistant professor, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran, E-mail: alinezhad_ir@yahoo.com

Palavras-chave:

Technology selection, Robot selection, Maximin approach, Discriminating power, Weight restriction, Common set of weights

Resumo

A practical common weight Maximin approach with an improved discriminating power for technology selection is introduced. The proposed Maximin approach enables the evaluation of the relative efficiency of decision-making units (DMUs) with respect to multiple outputs and a single exact input with common weights. Its robustness and discriminating power are illustrated via a previously reported robot evaluation problem by comparing the ranking obtained by the proposed Maximin approach framework with that obtained by the DEA classic model (CCR model) and Minimax method (Karsak & Ahiska,2005). Because the number of efficient DMUs is reduced so discriminating power of our approach is higher than previous approaches and because Spearman’s rank correlation between the ranks obtained from our approach and Minimax approach is high therefore robustness of new approach is justified.   

10.13084/2175-8018/ijie.v6n12p214-230

 

Biografia do Autor

Mousa Amini, Corresponding author, MSc graduated of industrial engineering (System management and productivity), Alghadir nongovernmental and private higher education institution, Tabriz, Iran, E- mail: mr62.amini@gmail.com

Mousa Amini is MSc graduated of Industrial Engineering, ALGHADIR, non-governmental and private higher education institution, Tabriz, Iran. His research interests include knowledge management, learning organization, operation research and multi criteria decision making.

Alireza Alinezhad, Assistant professor, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran, E-mail: alinezhad_ir@yahoo.com

Alireza Alinejad is an Assistant Professor in the Department of Industrial and Mechanical engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran. His research interests include operation research and data envelopment analysis.

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2015-03-01

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Amini, M., & Alinezhad, A. (2015). Practical common Weight Maximin approach for technology selection. beroamerican ournal of ndustrial ngineering, 6(12), 214–230. ecuperado de https://incubadora.periodicos.ufsc.br/index.php/IJIE/article/view/2634

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v. 6 n. 12 (2014): ISSN 21758018 - IJIE

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Artigos

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