Browsing by Author "Rouyendegh,B.D."
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Article Citation Count: 21Developing an integrated ahp and intuitionistic fuzzytopsis methodology;(Strojarski Facultet, 2014) Rouyendegh,B.D.This 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. © 2014, Strojarski Facultet. All rights reserved.Conference Object Citation Count: 3A hybrid intuitionistic MCDM model for supplier selection(2013) Rouyendegh,B.D.This paper gives an overview of the Analytic Hierarchy Process (AHP) and Intuitionistic Fuzzy TOPSIS (IFT) methods. This study deals an evaluation methodology based on the AHP-IFT where the uncertainty is handeled with linguistic values. First, the supplier selection problem is formulated by AHP is used to determine weights of the criteria. In the second stage, IFT 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 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: 16Sector selection for ERP implementation to achieve most impact on supply chain performance by using AHP–TOPSIS hybrid method;(Strojarski Facultet, 2014) Baç, Uğur; Erkan, Turan Erman; Erkan,T.E.; Industrial 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. © 2014, Technical Gazette. All Rights Reserved.Article Citation Count: 8Selecting the high - performing departments within universities applying the fuzzy MADM methods(2011) Rouyendegh,B.D.In this study, the process of efficiency measurement is tackled using multi-attribute decision-making (MADM) processes where a sequential algorithm is proposed. The framework of the study is based on two main stages; first, the data envelopment analysis (DEA), separately formulating each pair of units, formulates the department evaluation problem. DEA is a nonparametric multiple criteria method; no production, cost, or profit function is estimated from the data. 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 hierarchical process (FAHP). The FAHP method adopted here uses triangular fuzzy numbers (TFN). Inability of AHP to deal with the impression and subjectiveness in the pair-wise comparison process has been improved in Fuzzy AHP. Instead of a crisp value, Fuzzy AHP a range of value to incorporate the decision maker's uncertainly. ©2011 Academic Journals.Article Citation Count: 65Selection of academic staff using the fuzzy Analytic Hierarchy Process (FAHP): A pilot study;(2012) Erkan, Turan Erman; Erkan,T.E.; Industrial 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 Count: 0Solving a mixed purchasing process problem in retail market: A pilot study in Turkey;(Strojarski Facultet, 2014) Erkan, Turan Erman; Rouyendegh,B.D.; Salar,M.; Industrial 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.