Documents disponibles écrits par cet auteur

A compromise solution approach for finding common weights in DEA / M. Zohrehbandian in Journal of the operational research society (JORS), Vol. 61 N° 4 (Avril 2010) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 61 N° 4 (Avril 2010) . - pp. 604–610 Titre : A compromise solution approach for finding common weights in DEA : an improvement to Kao and Hung's approach Type de document : texte imprimé Auteurs : M. Zohrehbandian, Auteur ; Ahmad Makui, Auteur ; A. Alinezhad, Auteur Année de publication : 2010 Article en page(s) : pp. 604–610 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : MOLP  Compromise  solution  DEA  Efficiency  Ranking  Weight  restrictions Index. décimale : 001.424 Résumé : Data envelopment analysis (DEA) is the leading technique for measuring the relative efficiency of decision-making units (DMUs) on the basis of multiple inputs and multiple outputs. In this technique, the weights for inputs and outputs are estimated in the best advantage for each unit so as to maximize its relative efficiency. But, this flexibility in selecting the weights deters the comparison among DMUs on a common base. For dealing with this difficulty, Kao and Hung (2005) proposed a compromise solution approach for generating common weights under the DEA framework. The proposed multiple criteria decision-making (MCDM) model was derived from the original non-linear DEA model. This paper presents an improvement to Kao and Hung's approach by means of introducing an MCDM model which is derived from a new linear DEA model. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n4/abs/jors20094a.html [article] A compromise solution approach for finding common weights in DEA : an improvement to Kao and Hung's approach [texte imprimé] / M. Zohrehbandian, Auteur ; Ahmad Makui, Auteur ; A. Alinezhad, Auteur . - 2010 . - pp. 604–610. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 61 N° 4 (Avril 2010) . - pp. 604–610 Mots-clés : MOLP  Compromise  solution  DEA  Efficiency  Ranking  Weight  restrictions Index. décimale : 001.424 Résumé : Data envelopment analysis (DEA) is the leading technique for measuring the relative efficiency of decision-making units (DMUs) on the basis of multiple inputs and multiple outputs. In this technique, the weights for inputs and outputs are estimated in the best advantage for each unit so as to maximize its relative efficiency. But, this flexibility in selecting the weights deters the comparison among DMUs on a common base. For dealing with this difficulty, Kao and Hung (2005) proposed a compromise solution approach for generating common weights under the DEA framework. The proposed multiple criteria decision-making (MCDM) model was derived from the original non-linear DEA model. This paper presents an improvement to Kao and Hung's approach by means of introducing an MCDM model which is derived from a new linear DEA model. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n4/abs/jors20094a.html

Project risk identification and analysis based on group decision making methodology in a fuzzy environment / Ahmad Makui in International journal of management science and engineering management, Vol. 5 N° 2 (Avril 2010) 

Public ISBD [article]  in International journal of management science and engineering management > Vol. 5 N° 2 (Avril 2010) . - pp.108-118 Titre : Project risk identification and analysis based on group decision making methodology in a fuzzy environment Type de document : texte imprimé Auteurs : Ahmad Makui, Auteur ; S. Mohammad Mojtahedi, Auteur ; S. Meysam Mousavi, Auteur Année de publication : 2011 Article en page(s) : pp.108-118 Note générale : Management Langues : Anglais (eng) Mots-clés : Risk  identification  Risk  analysis  FMAGDM  Mega  projects Résumé : Project risk management process can remarkably facilitate project’s complexity via strategic insight. In project risk management, the modelling process of the risks may not be performed sufficiently and exactly, because the available data and information are vague, inexact, imprecise and uncertain by nature. The aim of this paper is to present a new methodology for identifying and analysing risks of projects concurrently by applying Fuzzy Multi-Attribute Group Decision Making (FMAGDM) approach. MAGDM, the essence of identification and analysis of project risks, lets one considers multi-attribute problems for the Decision Maker (DM), sets priorities for each decision factor, and analysis ranking for all alternatives. The paper includes a new procedure for classifying potential risks which it is named Potential Risk Breakdown Structure (PRBS) based on project Work Breakdown Structure (WBS). Lesson learned is used for collecting potential risks. Moreover, Obtained results have been applied in one mega project successfully. DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?123.html [article] Project risk identification and analysis based on group decision making methodology in a fuzzy environment [texte imprimé] / Ahmad Makui, Auteur ; S. Mohammad Mojtahedi, Auteur ; S. Meysam Mousavi, Auteur . - 2011 . - pp.108-118. Management Langues : Anglais (eng) in International journal of management science and engineering management > Vol. 5 N° 2 (Avril 2010) . - pp.108-118 Mots-clés : Risk  identification  Risk  analysis  FMAGDM  Mega  projects Résumé : Project risk management process can remarkably facilitate project’s complexity via strategic insight. In project risk management, the modelling process of the risks may not be performed sufficiently and exactly, because the available data and information are vague, inexact, imprecise and uncertain by nature. The aim of this paper is to present a new methodology for identifying and analysing risks of projects concurrently by applying Fuzzy Multi-Attribute Group Decision Making (FMAGDM) approach. MAGDM, the essence of identification and analysis of project risks, lets one considers multi-attribute problems for the Decision Maker (DM), sets priorities for each decision factor, and analysis ranking for all alternatives. The paper includes a new procedure for classifying potential risks which it is named Potential Risk Breakdown Structure (PRBS) based on project Work Breakdown Structure (WBS). Lesson learned is used for collecting potential risks. Moreover, Obtained results have been applied in one mega project successfully. DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?123.html