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Conference Object Citation - Scopus: 2Mba Students' Preference On: Online, Formal and Hybrid Mba Programs(Elsevier Science Bv, 2011) Rouyendegh, Babak Daneshvar; Erkan, Turan ErmanIn recent years, there has been a rapid rise in student enrolments in both online and formal MBA programs. This study is based on the results of a case study in which over 30 students enrolled in a top-ranked online and formal MBA program. Thus, the Fuzzy Analytic Hierarchy Process (FAHP) has been used for choosing the program. Due to the inability of AHP to deal with the impression and subjectiveness in the pair-wise comparison process, the FAHP has been used. The result of the research is interesting since neither an online nor a formal education program is preferred; a hybrid one has been developed. (C) 2011 Published by Elsevier Ltd.Article Citation - WoS: 76Citation - Scopus: 73Measuring the Efficiency of Hospitals: a Fully-Ranking Dea-Fahp Approach(Springer, 2019) Rouyendegh, Babak Daneshvar; Oztekin, Asil; Ekong, Joseph; Dag, AliThe goal of this study is to present a DEA-based fuzzy multi-criteria decision making model for firms in the health care industry in order to enhance their business performance. The study demonstrates a real-life use of the proposed model, mainly designed for hospitals. Data envelopment analysis enhanced with fuzzy analytic hierarchy process are collectively utilized to quantify the data and structure the model in decision-making. The juxtaposition of the two methods is used to compile a ranked list of multiple proxies containing diverse input and output variables which occur in two stages. This hybrid model provides several benefits, one of which is the ability to make the most appropriate decision considering the value of the weights determined by the data from the hybrid model.Conference Object Citation - WoS: 6Curriculum Change Parameters Determined by Multi Criteria Decision Making (mcdm)(Elsevier Science Bv, 2014) Erkan, Turan Erman; Rouyendegh, Babak DaneshvarCurriculum, research, instruction, learning and assessment are the pulse of the university. The main purpose of this study is to fill a substantial knowledge gap regarding reaching a uniform group decision in Industrial engineering curriculum design and planning. A comprehensive quality based course criterion model extracted from existing literature and expert opinions was developed. Multi Criteria Decision Making (MCDA) was used to identify the relative importance of course criteria for the purpose of tailoring an optimal four Industrial engineering curriculum for Bachelor's Degree students in Turkey.. The hierarchical model and analysis utilized in the present study will be useful for resolving several important multi-criteria decision-making issues in planning and evaluating Industrial Engineering programs. (C) 2013 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Academic World Education and Research Center.Article Citation - WoS: 44Citation - Scopus: 70Selection of Academic Staff Using the Fuzzy Analytic Hierarchy Process (fahp): a Pilot Study(Univ Osijek, Tech Fac, 2012) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman; Industrial Engineering; Computer EngineeringEvaluating candidates' suitability for a selection of academic staff is an important tool for Human Resources Management (HRM) to select the most suitable candidates for required posts. There are various methods regarding the selection of staff in the field. As there are increasing improvements in the field of education, universities around the world demand high quality and professional academic staffs. The present paper examines a fuzzy Analytic Hierarchy Process (FAHP) for selecting the most suitable academic staff, where five candidates under ten different sub-criteria are evaluated and prioritised. The FAHP method adopted here uses Triangular Fuzzy Numbers (TFN). The inability of AHP to deal with the impression and subjectiveness in the pair-wise comparison process has been improved in the FAHP. Instead of a crisp value, the FAHP generates a range of values to incorporate the decision-makers uncertainty. Also, a real case study is presented.Article Citation - WoS: 27The Dea - Fuzzy Anp Department Ranking Model Applied in Iran Amirkabir University(Budapest Tech, 2010) Rouyendegh, Babak Daneshvar; Erol, SerpilProposed in this study is a hybrid model for supporting the department selection process within Iran Amirkabir University. This research is a two-stage model designed to fully rank the organizational departments where each department has multiple inputs and outputs. First, the department evaluation problem is formulated by Data Envelopment Analysis (DEA) and separately formulates each pair of units. In the second stage, the pair-wise evaluation matrix generated in the first stage is utilized to fully rank-scale the units via the Fuzzy Analytical Network Process (FANP). The FANP method adopted here uses triangular fuzzy numbers. ANP equipped with fuzzy logic helps in overcoming the impreciseness in the preferences. DEA-FANP ranking does not replace the DEA classification model; rather, it furthers the analysis by providing full ranking in the DEA context for all departments, efficient and inefficient.Article Citation - WoS: 13Citation - Scopus: 16Sector Selection for Erp Implementation To Achieve Most Impact on Supply Chain Performance by Using Ahp-Topsis Hybrid Method(Univ Osijek, Tech Fac, 2014) Rouyendegh, Babak Daneshvar; Bac, Ugur; Erkan, Turan Erman; Industrial Engineering; Computer EngineeringRecently, studies about the Enterprise Resource Planning (ERP) have been increased and this research area has attracted more attention. Especially, in the global competition environment, enterprises have to focus on their Information Systems ( IS) performance to have a competitive advantage; implementing an ERP system and improving the effectiveness of the system is the only way. However every sector reacts to ERP implementation differently. Purpose of this study is to rank the sectors according to their performance increments after successful ERP implementations by using AHP-TOPSIS hybrid method. As a result, general structure of Turkish companies will be pictured and the sectors which have the most chance to improve their performance by utilizing an ERP system will be defined. These findings will help the companies to plan the implementation process more precisely and help the managers of these companies to define their expectations more clearly. A numerical example is given to clarify the main developed result in this paper.Article Solving a Mixed Purchasing Process Problem in Retail Market: a Pilot Study in Turkey(Univ Osijek, Tech Fac, 2014) Erkan, Turan Erman; Rouyendegh, Babak Daneshvar; Salar, Menekse; Industrial Engineering; Computer EngineeringThe details of mixed purchasing processes which consist of some of sales and marketing processes in a retail market are discussed in this pilot study. The purpose of this pilot study is to analyse purchasing AS-IS processes, to make benchmarking to the competitors for doing comparison, to determine criteria for alternative purchasing AS-IS processes, to develop TO-BE processes, to select the best suitable alternative by the help of BPR (Business Process Reengineering) Methodology, Decision Tree Analysis and Weighted Objective Method and finally, TO-BE processes of the Retail Market are mapped.Article Citation - WoS: 23Citation - Scopus: 38The Dea and Intuitionistic Fuzzy Topsis Approach To Departments' Performances: a Pilot Study(Hindawi Publishing Corporation, 2011) Rouyendegh, Babak DaneshvarThis paper processes a unification of Fuzzy TOPSIS and Data Envelopment Analysis (DEA) to select the units with most efficiency. This research is a two-stage model designed to fully rank the organizational alternatives, where each alternative has multiple inputs and outputs. First, the alternative evaluation problem is formulated by Data Envelopment Analysis (DEA) and separately formulates each pair of units. In the second stage, we use the opinion of experts to be applied into a model of group Decision-Making (DM) called the Intuitionistic Fuzzy TOPSIS (IFT) method. The results of both methods are then multiplied to obtain the results. DEA and Intuitionistic Fuzzy TOPSIS ranking do not replace the DEA classification model; rather, it furthers the analysis by providing full ranking in the DEA context for all units by aggregate individual opinions of decision makers for rating the importance of criteria and alternatives.Article Citation - WoS: 20Citation - Scopus: 26Evaluating Projects Based on Intuitionistic Fuzzy Group Decision Making(Hindawi Ltd, 2012) Rouyendegh, Babak DaneshvarThere are various methods regarding project selection in different fields. This paper deals with an actual application of construction project selection, using two aggregation operators. First, the opinion of experts is used in a model of group decision making called intuitionistic fuzzy TOPSIS (IFT). Secondly, project evaluation is formulated by dynamic intuitionistic fuzzy weighted averaging (DIFWA). Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers (DMs) for rating the importance of criteria and alternatives. A numerical example for project selection is given to clarify the main developed result in this paper.Conference Object Citation - WoS: 3Citation - Scopus: 4Improving the Creativity in Introductory Engineering Course Applying Fuzzy Network Process: a Pilot Study(Elsevier Science Bv, 2011) Rouyendegh, Babak Daneshvar; Ergin, Merve Hande; Salar, MenekseIn Engineering Design course, students' background, knowledge and skills should be considered to stimulate the creativity. Thus, the Analytic Network Process (ANP) has been used in deciding the factor that ignites creativity. However, there is uncertainty and vagueness existing in the judgment of students' need and expectations. Fuzzy ANP approach is used to determine a way in improving the creativity of the students in introductory engineering course. ANP equipped with fuzzy logic helps in overcoming the impreciseness in the preferences. The findings will help the instructor to improve and modify the delivery of the course to meet the course objectives. (C) 2011 Published by Elsevier Ltd.
