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Conference Object Citation - WoS: 1A Fuzzy Ahp for Evaluation of Ecommerce Websites Performance(Acad Conferences Ltd, 2012) ictenbas, Burcu Devrim; Rouyendegh, Babak DaneshvareCommerce has become an essential part of business strategy in the rising (emerging) global economy. In order to be successful in the eCommerce marketplace, organizations will need to provide high quality websites that attract and retain users. It is a need to understand and evaluate eCommerce websites to achieve high quality. Evaluation of eCommerce websites is a multiple criteria decision making (MCDM) problem since it includes analysis of both qualitative and quantitative factors. Also human judgment has taken part in this process. This paper presents FAHP to evaluate three eCommerce websites. The results will be a guide for decision makers in terms of improvable areas to design eCommerce websites.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.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: 4Citation - Scopus: 6On Profust Reliability of Coherent Systems: Signature-Based Expressions(Sage Publications Ltd, 2013) Eryilmaz, Serkan; Rouyendegh, Babak DaneshvarIn this article we study profust reliability of non-repairable coherent systems through the concept of system signature. We obtain explicit expressions for the profust reliability and mean time to fuzzy failure of coherent systems. We compute and present mean time to failure and mean time to fuzzy failure of all coherent systems with three and four components. Finally, we illustrate the results for a well known class of coherent systems called m-consecutive-k-out-of-n:F.Conference Object Effects of BPR on ERP Implementation Success and Supply Chain Performance(Acad Conferences Ltd, 2012) Erkan, Erman; Bac, Ugur; Rouyendegh, Babak DaneshvarRecently, 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. To do so; factors affecting the implementation success of ERP systems have to be inspected in pursuant of some performance measurements and metrics. Since unsuccessful ERP implementations result in high costs; use of these factors and making the necessary preparations will increase the chance of a successful ERP implementation. According to literature Business Process Reengineering (BPR) has a vital role on the ERP success. In this study, a research has been made on the Turkish enterprises to determine the criteria affecting their success on the implementation of ERP systems by the utilization of a questionnaire. Questionnaire results have been analyzed with statistical methods to summarize the current situation of IS structure, Information Management Systems integration level, ERP success rate and effects of BPR on this success rate in Turkish enterprises. Results of this study can be used to define the relation between the ERP and BPR. Understanding this relation is vital for the planned or ongoing ERP implementations. Factors and criteria found in this study which have effects on the ERP systems success should be considered during the implementation planning phase of these systems for efficiently managing the budget of projects. Importance of BPR which was emphasized in this study should be considered by the management of enterprises for evaluating their IS to determine if they are ready for the implementation phase. If they are not, findings will serve as a guideline for improving the chance of successful implementation and this will affect overall performance of the company. Results of this study can also be used in the future studies to compare international differences of IS structures and ERP implementation processes.Article Citation - WoS: 67Citation - Scopus: 91An Application of the Fuzzy Electre Method for Academic Staff Selection(Wiley, 2013) Rouyendegh, Babak Daneshvar; Erkan, Turan ErmanThere are various methods regarding staff selection in different fields. Thanks to the increasing improvements in the field of education, universities around the world tend to demand high -quality and professional academic staff. Staff selection is a multi-criteria decision-making processes, and of strategic importance for most universities. This study deals with actual application of academic of staff selection using the opinion of experts to be applied into a model of group decision - making called the Fuzzy ELECTRE (Elimination Et Choix Traduisant la REaite) method. There are ten qualitative criteria for selecting the best candidate amongst five prospective applications. (c) 2012 Wiley Periodicals, Inc.Conference Object Selection of Erp System Using Qfd Approach: a Pilot Study From Turkey(Acad Conferences Ltd, 2012) Ictenbas, Burcu Devrim; Rouyendegh, Babak Daneshvar; Erkan, Turan ErmanToday companies face the challenge of increasing competition, expanding markets and rising competition. Many organizations seek to improve their competitiveness by utilizing advanced information technology, such as Enterprise Resource Planning (ERP) systems. Selection of appropriate ERP system is a vital decision for any enterprise in this intense competitive environment. The selection process is complicated since complexity of ERP systems and too many alternatives. Requirements analysis of a software system like ERP is often considered to be one of the most important steps in the software selection process. Quality Function Deployment (QFD) is a methodology to translate customer requirements into the final product or service characteristics. In spite of successful applications of QFD in familiar fields such as product planning, education quality and service quality, the usability of QFD in the selection of software systems have been seen in only few studies. The purpose of the study is to determinethe most important technical attributes of the ERP systems from the end - users' perspective using QFD methodology. The developed framework integrates ERP characteristics obtained from vendors in the market and the list of customer requirements by taking into account the company profile and strategic selection criteria. The solution proposed in this study will support decision makers to manage the early stages of ERP selection according the company's needs.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.Article Citation - WoS: 17Citation - Scopus: 22Developing an Integrated Ahp and Intuitionistic Fuzzytopsis Methodology(Univ Osijek, Tech Fac, 2014) Rouyendegh, Babak Daneshvar; Computer EngineeringThis research gives an overview of the Analytic Hierarchy Process (AHP) and Intuitionistic FuzzyTOPSIS (IFT) methods. This study deals with an evaluation methodology based on the AHP-IFT where the uncertainties are handled with linguistic values. First, the supplier selection problem is formulated using AHP and, then, it is used to determine the weights of the criteria. Later, IFT is used to obtain full-ranking among alternatives based on opinion of the Decision Makers (DMs). The present model provides an accurate and easy classification in supplier attributes by those that have been prioritized in the hybrid model. A numerical example is given to clarify the main developed result in this paper.Article Citation - WoS: 26Citation - Scopus: 36Developing an Integrated Anp and Intuitionistic Fuzzy Topsis Model for Supplier Selection(Amer Soc Testing Materials, 2015) Rouyendegh, Babak DaneshvarThis paper provides an overview of the Analytic Network Process (ANP) and Intuitionistic Fuzzy TOPSIS (IFT) methods for the Multi-Criteria Decision-Making (MCDM) problem under uncertain environments. The study employs an evaluation methodology based on the ANP-IFT where uncertainty and subjectivity are handled with linguistic values. First, the supplier selection problem is formulated using ANP and then used to determine the weights of the criteria by considering the effects of interference and the relationship among the selection criteria. Later, IFT is used to obtain full-ranking of the alternatives based on the opinion of the decision-makers (DMs). The present model provides an accurate and easy classification of supplier attributes using a hybrid model. A numerical example is given to clarify the main results developed in this paper.
