Islamic Azad University, Rasht BranchIranian Journal of Optimization2588-572303120091001COMMON WEIGHTS DETERMINATION IN DATA ENVELOPMENT ANALYSIS199210513956ENAlireza AmirteimooriDepartment of Mathematics, Islamic Azad University, Rasht Branch, IranSohrab KordrostamiDepartment of Mathematics, Islamic Azad University, Lahijan Branch, Iran.Journal Article20090825<span>In models of data envelopment analysis (</span><span>DEA</span><span>), an optimal set of weights is generally assumed to represent the assessed decision making unit (</span><span>DMU</span><span>) in the best light in comparison to all the other </span><span>DMU</span><span>s, and so there is an optimal set of weights corresponding to each </span><span>DMU</span><span>. The present paper, proposes a three stage method to determine one common set of weights for decision making units. Then, we use these weights to rank efficient units. We demonstrate the approach by applying it to rank gas companies. </span>http://ijo.iaurasht.ac.ir/article_513956_0b5f2e6da337d2a12c9a1d9ec414a9d9.pdfIslamic Azad University, Rasht BranchIranian Journal of Optimization2588-572303120091001Using lexicographic parametric programming for identifying efficient hyperpalnes in DEA211229513957ENFarhad Hosseinzadeh LotfiDepartment of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, IranF. Rezaie BalfDepartment of Mathematics, Islamic Azad University, Qaemshahr, IranA. TaghaviDepartment of Mathematics, Islamic Azad University, Qaemshahr, IranJournal Article20150825<span>This paper investigates a procedure for identifying all efficient hyperplanes of production possibility set (PPS). This procedure is based on a method which recommended by Pekka J. Korhonen[8]. He offered using of lexicographic parametric programming method for recognizing all efficient units in data envelopment analysis (DEA). In this paper we can find efficient hyperplanes, via using the parameterization of the right hand side vector of the envelopment problem of each efficient unit. </span>http://ijo.iaurasht.ac.ir/article_513957_fc780b28e445c6b5eabf205c4752922b.pdfIslamic Azad University, Rasht BranchIranian Journal of Optimization2588-572303120091001IMPORTANT ISSUES IN MULTIPLE RESPONSE OPTIMIZATION235247513958ENMohammad TaleghaniDepartment of Industrial management, Islamic Azad University, Rasht, IranJournal Article20090825<span>There have been many p</span><span>r</span><span>oductive met</span><span>hod</span><span>s </span><span>d</span><span>evelope</span><span>d </span><span>so far for o</span><span>p</span><span>t</span><span>imi</span><span>z</span><span>at</span><span>i</span><span>on o</span><span>f </span><span>multipl</span><span>e response su</span><span>r</span><span>face (MRS) pro</span><span>b</span><span>le</span><span>ms</span><span>. T</span><span>hi</span><span>s </span><span>p</span><span>aper ten</span><span>d</span><span>s to rev</span><span>iew the </span><span>m</span><span>o</span><span>s</span><span>t sem</span><span>i</span><span>nal </span><span>appr</span><span>o</span><span>ac</span><span>h</span><span>es in MRS and </span><span>d</span><span>iscuss the </span><span>streng</span><span>th and weakness of e</span><span>ach o</span><span>f </span><span>t</span><span>he a</span><span>pproaches </span><span>t</span><span>hrou</span><span>gh existing aspects in MRS. A n</span><span>u</span><span>merical example is in</span><span>c</span><span>lu</span><span>d</span><span>ed </span><span>to </span><span>compare res</span><span>ults b</span><span>y different methods</span><span>. </span><span>F</span><span>i</span><span>nall</span><span>y </span><span>some of the pr</span><span>o</span><span>minent ar</span><span>e</span><span>as for </span><span>f</span><span>uture r</span><span>e</span><span>search discusse</span><span>d b</span><span>y differen</span><span>t </span><span>researche</span><span>r</span><span>s are presente</span><span>d</span><span>. </span>http://ijo.iaurasht.ac.ir/article_513958_d4b5d33054959b14859296926f7564a4.pdfIslamic Azad University, Rasht BranchIranian Journal of Optimization2588-572303120091001THE APPLICATION OF DATA ENVELOPMENT ANALYSIS METHODOLOGY TO IMPROVE THE BENCHMARKING PROCESS IN THE EFQM BUSINESS MODEL (CASE STUDY: AUTOMOTIVE INDUSTRY OF IRAN)243265513959ENK. ShahroudiDepartment of Industrial management, Islamic Azad University, Rasht branchJournal Article20150825This paper reports a survey and case study research outcomes on the application of Data Envelopment Analysis (DEA) to the ranking method of European Foundation for Quality Management (EFQM) Business Excellence Model in Iran’s Automotive Industry and improving benchmarking process after assessment. Following the global trend, the Iranian industry leaders have introduced the EFQM practice to their supply chain in order to improve the supply base competitiveness during the last four years. A question which is raises is whether the EFQM model can be combined with a mathematical model such as DEA in order to generate a new ranking method and develop or facilitate the benchmarking process. The developed model of this paper is simple. However, it provides some new and interesting insights. The paper assesses the usefulness and capability of the DEA technique to recognize a new scoring system in order to compare the classical ranking method and the EFQM business model. We used this method to identify meaningful exemplar companies for each criterion of the EFQM model then we designed a road map based on realistic targets in the criterion which have currently been achieved by exemplar companies. The research indicates that the DEA approach is a reliable tool to analyze the latent knowledge of scores generated by conducting self- assessments. The Wilcoxon Rank Sum Test is used to compare two scores and the Test of Hypothesis reveals the meaningful relation between the EFQM and DEA new ranking methods. Finally, we drew a road map based on the benchmarking concept using the research results. http://ijo.iaurasht.ac.ir/article_513959_84c9ae0eb54e5336a7765513cacb1e4f.pdf