Browsing by Author "Rouyendegh, Babak Daneshvar"
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Article Citation Count: 63An Application of the Fuzzy ELECTRE Method for Academic Staff Selection(Wiley, 2013) Erkan, Turan Erman; Erkan, Turan Erman; Ekin, Cansu Çiğdem; Industrial Engineering; Computer EngineeringThere 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 Citation Count: 6Curriculum Change Parameters Determined by Multi Criteria Decision Making (MCDM)(Elsevier Science Bv, 2014) Erkan, Turan Erman; Rouyendegh, Babak Daneshvar; Ekin, Cansu Çiğdem; Industrial Engineering; Computer EngineeringCurriculum, 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 Count: 27The DEA - FUZZY ANP Department Ranking Model Applied in Iran Amirkabir University(Budapest Tech, 2010) Ekin, Cansu Çiğdem; Erol, Serpil; Computer EngineeringProposed 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 Count: 23The DEA and Intuitionistic Fuzzy TOPSIS Approach to Departments' Performances: A Pilot Study(Hindawi Publishing Corporation, 2011) Ekin, Cansu Çiğdem; Computer EngineeringThis 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 Count: 16DEVELOPING AN INTEGRATED AHP AND INTUITIONISTIC FUZZYTOPSIS METHODOLOGY(Univ Osijek, Tech Fac, 2014) Ekin, Cansu Çiğdem; 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 Count: 23Developing an Integrated ANP and Intuitionistic Fuzzy TOPSIS Model for Supplier Selection(Amer Soc Testing Materials, 2015) Ekin, Cansu Çiğdem; Computer EngineeringThis 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.Conference Object Citation Count: 1Effects of BPR on ERP Implementation Success and Supply Chain Performance(Acad Conferences Ltd, 2012) Baç, Uğur; Ekin, Cansu Çiğdem; Rouyendegh, Babak Daneshvar; 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. 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 Count: 17Evaluating Projects Based on Intuitionistic Fuzzy Group Decision Making(Hindawi Ltd, 2012) Ekin, Cansu Çiğdem; Computer EngineeringThere 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 Count: 1A Fuzzy AHP for Evaluation of eCommerce Websites Performance(Acad Conferences Ltd, 2012) Ekin, Cansu Çiğdem; Rouyendegh, Babak Daneshvar; Computer EngineeringeCommerce 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.Conference Object Citation Count: 3Improving the creativity in introductory engineering course applying fuzzy network process: a pilot study(Elsevier Science Bv, 2011) Ergin, Merve Hande; Ergin, Merve Hande; Ekin, Cansu Çiğdem; Industrial Engineering; Computer EngineeringIn 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.Conference Object Citation Count: 0MBA Students' preference on: online, formal and hybrid MBA programs(Elsevier Science Bv, 2011) Erkan, Turan Erman; Erkan, Turan Erman; Ekin, Cansu Çiğdem; Industrial Engineering; Computer EngineeringIn 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 Count: 67Measuring the efficiency of hospitals: a fully-ranking DEA-FAHP approach(Springer, 2019) Ekin, Cansu Çiğdem; Oztekin, Asil; Ekong, Joseph; Dag, Ali; Computer EngineeringThe 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 Count: 5On profust reliability of coherent systems: signature-based expressions(Sage Publications Ltd, 2013) Eryilmaz, Serkan; Eryılmaz, Serkan; Rouyendegh, Babak Daneshvar; Ekin, Cansu Çiğdem; Industrial Engineering; Computer EngineeringIn 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.Article Citation Count: 14SECTOR SELECTION FOR ERP IMPLEMENTATION TO ACHIEVE MOST IMPACT ON SUPPLY CHAIN PERFORMANCE BY USING AHP-TOPSIS HYBRID METHOD(Univ Osijek, Tech Fac, 2014) Ekin, Cansu Çiğdem; Baç, Uğur; 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 Citation Count: 35Selecting the Best Project Using the Fuzzy ELECTRE Method(Hindawi Ltd, 2012) Ekin, Cansu Çiğdem; Erol, Serpil; Computer EngineeringSelecting projects is often a difficult task. It is complicated because there is usually more than one dimension for measuring the impact of each project, especially when there is more than one decision maker. This paper is aimed to present the fuzzy ELECTRE approach for prioritizing the most effective projects to improve decision making. To begin with, the ELECTRE is one of most extensively used methods to solve multicriteria decision making (MCDM) problems. The ELECTRE evaluation method is widely recognized for high-performance policy analysis involving both qualitative and quantitative criteria. In this paper, we consider a real application of project selection using the opinion of experts to be applied into a model by one of the group decision makers, called the fuzzy ELECTRE method. A numerical example for project selection is given to clarify the main developed result in this paper.Article Citation Count: 44SELECTION OF ACADEMIC STAFF USING THE FUZZY ANALYTIC HIERARCHY PROCESS (FAHP): A PILOT STUDY(Univ Osijek, Tech Fac, 2012) Ekin, Cansu Çiğdem; 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.Conference Object Citation Count: 0Selection of ERP System Using QFD Approach: A Pilot Study From Turkey(Acad Conferences Ltd, 2012) İçtenbaş, Burcu Devrim; Ekin, Cansu Çiğdem; Erkan, Turan Erman; Industrial Engineering; Computer EngineeringToday 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 Count: 2Selection of working area for industrial engineering students(Elsevier Science Bv, 2012) Ekin, Cansu Çiğdem; Can, Gulin Feryal; Computer EngineeringSelection of working area is one of the most important turning points in the human life. The main purpose of the selection of working area is planning a happy and successful future. There are many factors that interact with one another in this decision making process. In this study, in the content of these factors; feeling interest of lessons took in university education period, career opportunities for various working areas and gender are examined for 14 industrial engineering working areas. In addition, the scope of this study, we used Fuzzy Analytic Network Process (FANP) method to analyze these criteria and to determine the work areas wanted to work by industrial engineering students in order of priority.Article Citation Count: 1SOLVING A MIXED PURCHASING PROCESS PROBLEM IN RETAIL MARKET: A PILOT STUDY IN TURKEY(Univ Osijek, Tech Fac, 2014) Erkan, Turan Erman; Ekin, Cansu Çiğdem; 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.