@article { author = {Nikjo, B. and Rezaeian, J. and Javadian, N.}, title = {Decision making in best player selection: An integrated approach with AHP and Extended TOPSIS methods based on WeFA Freamwork in MAGDM problems}, journal = {International Journal of Research in Industrial Engineering}, volume = {4}, number = {1(4)}, pages = {1-14}, year = {2015}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2017.49166}, abstract = {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.}, keywords = {Multiple Attribute Group Decision Making,best player selection,AHP,Extended Topsis,Multiple Criteria Decision Making,Integrated Approach}, url = {https://www.riejournal.com/article_49166.html}, eprint = {https://www.riejournal.com/article_49166_03b1865ef63475c6f3882d270e784c1b.pdf} } @article { author = {Hosseinzadeh Lotfi, F and Jahanbakhsh, M.}, title = {Assess the efficiency and effectiveness simultaneously in a three-stage process, by using a unified model}, journal = {International Journal of Research in Industrial Engineering}, volume = {4}, number = {1(4)}, pages = {15-23}, year = {2015}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2017.49165}, abstract = {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.}, keywords = {Data Envelopment Analysis,Efficiency,effectiveness}, url = {https://www.riejournal.com/article_49165.html}, eprint = {https://www.riejournal.com/article_49165_c004eb63e7edeaf40398b538deb1b4d1.pdf} } @article { author = {Mokhtari karchegani, F. and Shirouyehzad, H. and Tavakkoli-Moghaddam, R.}, title = {A Multi-Objective Model for Location-Allocation Problem in a Supply Chain}, journal = {International Journal of Research in Industrial Engineering}, volume = {4}, number = {1(4)}, pages = {24-42}, year = {2015}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2017.49155}, abstract = {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.}, keywords = {Supply chain design, Facility location-allocation,optimization,Global Criteria Method,Multi-objective Programming}, url = {https://www.riejournal.com/article_49155.html}, eprint = {https://www.riejournal.com/article_49155_e8db68b83baac94b2e6bb736412ef592.pdf} }