ORIGINAL_ARTICLE
Decision making in best player selection: An integrated approach with AHP and Extended TOPSIS methods based on WeFA Freamwork in MAGDM problems
The Problem of selecting the best player among other good ones is an important issue in the world of sport. Player selection is a big challenge in all types of clubs, involving multiple criteria that should be evaluated simultaneously. Therefore, an appropriate decision approach for player's selection is required. The goal of this research is to present a new model for clubs' head coaches and managers that consider experts' votes and making a good decision. Thus, this paper considers an approach based on WeFA framework and Multiple Criteria Decision Making (MCDM) methods in Multiple Attribute Group Decision Making (MAGDM) problems for the challenge of best player selection where, important criteria and experts' vote is received by using WeFA. Analytic Hierarchy Process method (AHP) is used for determining the Weight of each criterion. Extended TOPSIS and its application in MAGDM are applied for weighting to decision makers (DMs) and ranking of alternatives. This research can be useful as a practical and scientific framework for managers and head coaches of clubs all around the world. Finally, a numerical example is evaluated to illustrate the proposed methodology.
https://www.riejournal.com/article_49166_03b1865ef63475c6f3882d270e784c1b.pdf
2015-11-01
1
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10.22105/riej.2017.49166
Multiple Attribute Group Decision Making
best player selection
AHP
Extended Topsis
Multiple Criteria Decision Making
Integrated Approach
B.
Nikjo
behzad.nikjo@ustmb.ac.ir
1
Department of industrial engineering, Mazandaran University of Science and Technology, Babol, Iran
LEAD_AUTHOR
J.
Rezaeian
j_rezaeian@ustmb.ac.ir
2
Department of industrial engineering, Mazandaran University of Science and Technology, Babol, Iran
AUTHOR
N.
Javadian
nijavadian@ustmb.ac.ir
3
Department of industrial engineering, Mazandaran University of Science and Technology, Babol, Iran
AUTHOR
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weights of decision makers using TOPSIS’ Applied Mathematical Modelling,Vol. 35 ,pp. 1926-1936.
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Multiple Criteria Decision Analysis in the NewZealand Agricultural Industry’ Journal of Multi-Criteria Decision Analysis, 16, pp. 39–53.
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[8] Radfar, I., Hashemkhani Zolfani, S. and Nikjo, B. (2012) ‘New Application of WeFA Framework and Fuzzy Delphi in Concert Locating’ American Journal of Scientific Research,
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issu74, pp. 108-112.
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decision making methodologies and implementation of a warehouse location selection problem’ Expert Systems with Applications, 38, pp. 9773–9779.
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Decision Analysis: TOPSIS and VIKOR Method’ World Academy of Science, Engineering and Technology, 71, pp. 1663-1669.
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Approaches to Support Site Selection for a Lead Pollution Study’ Second International Conference on Environmental and Agriculture Engineering, vol. 37, pp. 1–8.
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Supplier Selection’ Decision Making in Manufacturing and Services, vol. 6, No. 1, pp. 25-39.
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M. (2013) ‘Material selection using hybrid MCDM approach for automobile bumper’ Int. J. of Industrial and Systems Engineering, Vol.14, No.1, pp.20 – 39.
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of Pennsylvania, Belgrade.
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Analytical Hierarchy Process’ Kluwer Academic.Publishers, Boston.
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ORIGINAL_ARTICLE
Assess the efficiency and effectiveness simultaneously in a three-stage process, by using a unified model
By distinction between efficiency and effectiveness scales, the aim of this paper is to propose a model that can show the differents of efficiency and effectiveness. For this purpose, enveloping form of ICCR model ,has considered to calculate simultaneously the influences of efficiency and effectiveness. this model, is a linear programming model based on Data envelopment analysis (DEA), that combine the input and output oriented CCR model to investigate the efficiency and effectiveness impressed each other ,in a three-stage process. By applying the model on data of 24 bank branches, the result clarify comprehensive view of the performance of the branches that have been substantially three-stage.
https://www.riejournal.com/article_49165_c004eb63e7edeaf40398b538deb1b4d1.pdf
2015-11-01
15
23
10.22105/riej.2017.49165
Data Envelopment Analysis
Efficiency
effectiveness
F
Hosseinzadeh Lotfi
farhad@hosseinzadeh.ir
1
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
LEAD_AUTHOR
M.
Jahanbakhsh
2
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
AUTHOR
[1] Ming-Miin Yu, Bruce C.Y. Lee.,2009.Efficiency and effectiveness of service business: Evidence from international tourist hotels in Taiwan. Tourism Management 30, 571–580.
1
[2] Herbert F.Lewis, Kathleen A.Lock, Thomas R.Sexton.,2009. Organizational capability, efficiency, and effectiveness in Major League Baseball:1901–2002.European Journal of Operational Research 197,731–740.
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[3] Wang ch, Gopal R, Ziont S,1997.Use of data envelopment analysis in assessing information technology impact on firm performance. Annals of Operations Research;73.PP;191–213.
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[4] Chen Y,Zhu J,2004. Measuring information technology’s indirect impact on firm
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performance.Information technology & Management Journal;5(1-2),PP:9-22.
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[5] Yu-Chiun Chiou, Lawrence W. Lan, Barbara T.H.Yen. A joint measurement of efficiency and effectiveness for non-storable commodities: Integrated data envelopment analysis approaches. European Journal of Operational Research 201 (2010)477-489. [6]Fielding, G.J., 1987. Managing public Transit strategically. Jossey-Bass Inc.,San Francisco.
6
[7]F.Hosseinzadeh Lotfi, M.Jahanbakhsh, Z.Moghaddas, 2011. A unified model for simultaneously assessing both efficiency and effectiveness.Conference on of data envelopment analysis.
7
ORIGINAL_ARTICLE
A Multi-Objective Model for Location-Allocation Problem in a Supply Chain
The fast changing and dynamic global business environment require companies to plan their entire supply chain from the raw material supplier to the end customer. In this paper, we design an integrated supply chain including multiple suppliers, multiple factories, multiple distributors, multiple customers, multiple products, and multiple transportation alternatives. A new multi-objective mixed-integer nonlinear programming model is proposed to deal with this facility location-allocation problem. It considers two conflicting objectives simultaneously, and then the problem is transformed into a multi-objective linear one. The first objective function aims to minimize total losses of the supply chain including raw material purchasing costs, transportation costs and establishment costs of factories and distributions. The second objective function is to minimize the sum deterioration rate of end products and raw materials incurred by transportation alternatives. Finally, the proposed model is solved as a single-objective, mixed-integer, programming model applying the Global Criteria Method. We test their model with numerical example and the results indicate that the proposed model can provide a promising approach to fulfill customer demand and design an efficient supply chain.
https://www.riejournal.com/article_49155_e8db68b83baac94b2e6bb736412ef592.pdf
2015-11-01
24
42
10.22105/riej.2017.49155
Supply chain design, Facility location-allocation
optimization
Global Criteria Method
Multi-objective Programming
F.
Mokhtari karchegani
mokhtari_farah@yahoo.com
1
Department of Human Science, Management group, Najafabad Branch, Islamic Azad University, Najafabad, Iran
LEAD_AUTHOR
H.
Shirouyehzad
hadi.shirouyehzad@gmail.com
2
Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
AUTHOR
R.
Tavakkoli-Moghaddam
tavakoli@ut.ac.ir
3
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
AUTHOR
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production planning in a supply chain under uncertainty. International Journal of Production Economics. Vol. 134, No.1, pp. 28–42.
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[6] Torres-Sotoa J. E. and Üstera Halit, (2011). Dynamic-demand capacitated facility location problems with and without relocation. International Journal of Production Research.Vol.49, No.13, pp.3979-4005.
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