eng
Islamic Azad University, Rasht Branch
Iranian Journal of Optimization
2588-5723
2008-5427
2009-10-01
03
1
199
210
513956
مقاله پژوهشی
COMMON WEIGHTS DETERMINATION IN DATA ENVELOPMENT ANALYSIS
Alireza Amirteimoori
teimoori@guilan.ac.ir
1
Sohrab Kordrostami
sohrabkordrostami@gmail.com
2
Department of Mathematics, Islamic Azad University, Rasht Branch, Iran
Department of Mathematics, Islamic Azad University, Lahijan Branch, Iran.
<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.pdf
Data Envelopment Analysis
Common Set of Weights
Ranking
eng
Islamic Azad University, Rasht Branch
Iranian Journal of Optimization
2588-5723
2008-5427
2009-10-01
03
1
211
229
513957
مقاله پژوهشی
Using lexicographic parametric programming for identifying efficient hyperpalnes in DEA
Farhad Hosseinzadeh Lotfi
farhad@hosseinzadeh.ir
1
F. Rezaie Balf
2
A. Taghavi
3
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Mathematics, Islamic Azad University, Qaemshahr, Iran
Department of Mathematics, Islamic Azad University, Qaemshahr, Iran
<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.pdf
efficiency analysis
Data Envelopment Analysis
Lexicographic
Parametric programming
Efficient hyperplanes
eng
Islamic Azad University, Rasht Branch
Iranian Journal of Optimization
2588-5723
2008-5427
2009-10-01
03
1
235
247
513958
مقاله پژوهشی
IMPORTANT ISSUES IN MULTIPLE RESPONSE OPTIMIZATION
Mohammad Taleghani
m.taleghani454@yahoo.com
1
Department of Industrial management, Islamic Azad University, Rasht, Iran
<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.pdf
Experimental design
Multiple - Response Surface
Response surface methodology
Optimization
eng
Islamic Azad University, Rasht Branch
Iranian Journal of Optimization
2588-5723
2008-5427
2009-10-01
03
1
243
265
513959
مقاله پژوهشی
THE APPLICATION OF DATA ENVELOPMENT ANALYSIS METHODOLOGY TO IMPROVE THE BENCHMARKING PROCESS IN THE EFQM BUSINESS MODEL (CASE STUDY: AUTOMOTIVE INDUSTRY OF IRAN)
K. Shahroudi
shahroudi@iaurasht.ac.ir
1
Department of Industrial management, Islamic Azad University, Rasht branch
This 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
Data Envelopment Analysis
EFQM Excellence Model
Wilcoxon Rank Sum Test
Benchmarking
Road map