Search Results

Now showing 1 - 10 of 19
  • Conference Object
    Citation - Scopus: 2
    Mba Students' Preference On: Online, Formal and Hybrid Mba Programs
    (Elsevier Science Bv, 2011) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman
    In 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: 76
    Citation - Scopus: 73
    Measuring the Efficiency of Hospitals: a Fully-Ranking Dea-Fahp Approach
    (Springer, 2019) Rouyendegh, Babak Daneshvar; Oztekin, Asil; Ekong, Joseph; Dag, Ali
    The 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: 6
    Curriculum Change Parameters Determined by Multi Criteria Decision Making (mcdm)
    (Elsevier Science Bv, 2014) Erkan, Turan Erman; Rouyendegh, Babak Daneshvar
    Curriculum, 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: 4
    Citation - Scopus: 6
    On Profust Reliability of Coherent Systems: Signature-Based Expressions
    (Sage Publications Ltd, 2013) Eryilmaz, Serkan; Rouyendegh, Babak Daneshvar
    In 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
    Citation - WoS: 1
    A Fuzzy Ahp for Evaluation of Ecommerce Websites Performance
    (Acad Conferences Ltd, 2012) ictenbas, Burcu Devrim; Rouyendegh, Babak Daneshvar
    eCommerce 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: 44
    Citation - Scopus: 70
    Selection 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 Engineering
    Evaluating 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.
  • Conference Object
    Effects of BPR on ERP Implementation Success and Supply Chain Performance
    (Acad Conferences Ltd, 2012) Erkan, Erman; Bac, Ugur; Rouyendegh, Babak Daneshvar
    Recently, 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.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 4
    Improving the Creativity in Introductory Engineering Course Applying Fuzzy Network Process: a Pilot Study
    (Elsevier Science Bv, 2011) Rouyendegh, Babak Daneshvar; Ergin, Merve Hande; Salar, Menekse
    In 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: 67
    Citation - Scopus: 91
    An Application of the Fuzzy Electre Method for Academic Staff Selection
    (Wiley, 2013) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman
    There 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.
  • Article
    Citation - WoS: 19
    Citation - Scopus: 25
    Evaluating Projects Based on Intuitionistic Fuzzy Group Decision Making
    (Hindawi Ltd, 2012) Rouyendegh, Babak Daneshvar
    There 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.