Endüstri Mühendisliği Bölümü / Department of Industrial Engineering

Permanent URI for this collectionhttps://hdl.handle.net/11413/6819

Browse

Browsing Endüstri Mühendisliği Bölümü / Department of Industrial Engineering by Subject "AHP"

Filter results by typing the first few letters
Now showing 1 - 3 of 3
  • Thumbnail Image
    PublicationOpen Access
    A novel spherical fuzzy analytic hierarchy process and its renewable energy application
    (2020-03-01) Kutlu Gündoğdu Fatma; Kahraman, Cengiz
    The extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets, Pythagorean fuzzy sets, and neutrosophic sets, whose membership functions are based on three dimensions, aim at collecting experts’ judgments more informatively and explicitly. In the literature, generalized three-dimensional spherical fuzzy sets have been introduced by Kutlu Gündoğdu and Kahraman (J Intell Fuzzy Syst 36(1):337–352, 2019a), including their arithmetic operations, aggregation operators, and defuzzification operations. In this paper, our aim is to extend classical analytic hierarchy process (AHP) to spherical fuzzy AHP (SF-AHP) method and to show its applicability and validity through a renewable energy location selection example and a comparative analysis between neutrosophic AHP and SF-AHP.
  • No Thumbnail Available
    PublicationMetadata only
    An Intelligent Approach to ERP Software Selection Through Fuzzy ANP
    (TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND, 2007) Özdemir, Rifat Gürcan; Ayağ, Zeki; TR8785; TR141173
    During the implementations of enterprise resource planning (ERP) systems, most companies have experienced some problems, one of which is how to determine the best ERP software satisfying their needs and expectations. Because improperly selected ERP software may have an impact on the time required, and the costs and market share of a company, selecting the best desirable ERP software has been the most critical problem for a long time. On the other hand, selecting ERP software is a multiple-criteria decision-making (MCDM) problem, and in the literature, many methods have been introduced to evaluate this kind of problem, one of which is the analytic hierarchy process (AHP), which has been widely used in MCDM selection problems. However, in this paper, we use a fuzzy extension of an analytic network process (ANP), a more general form of AHP, which uses uncertain human preferences as input information in the decision-making process, because the AHP cannot accommodate the variety of interactions, dependencies, and feedback between higher- and lower-level elements. Instead of using the classical eigenvector prioritization method in the AHP, only employed in the prioritization stage of ANP, a fuzzy-logic method providing more accuracy on judgements is applied. The resulting fuzzy ANP enhances the potential of the conventional ANP for dealing with imprecise and uncertain human comparison judgements. In short, in this paper, an intelligent approach to ERP software selection through a fuzzy ANP is proposed by taking into consideration quantitative and qualitative elements to evaluate ERP software alternatives.
  • No Thumbnail Available
    PublicationMetadata only
    The Selection of a Process Management Software with Fuzzy Topsis Multiple Criteria Decision Making Method
    (Springer, 2018-09) Şen, Arda Yiğit; Semiz, Neslihan; Algül, Duygu; Güneş, Buse; Demirok Dönmez, Nurcan; Gergin, Zeynep; 141801; 141772
    Today’s retail companies are facing with many different criteria in choosing the software they use to manage their processes. The choice of appropriate software is a multi-criteria decision-making problem that requires process managers to come together with multiple factors as well as with different decision makers. In this study, the problem of choosing process management software for a retailer operating in the textile sector is discussed. The main problem in existing software used in the company’s process management department is that it does not cover all process flows causing lack of commu- nication with other softwares. With this study, it is aimed to reduce time loss in operations by selecting a software that combines processes in one system. Thus, in all departments, there will be a unified and single reporting system for real- time analysis of statistics and better cooperation. In this study, the Analytic Hierarchy Process (AHP) and Fuzzy TOPSIS approaches are presented for this multi criteria decision making problem. In the first step, the AHP implementation and the pairwise comparisons taken from the seven decision makers determined the importance weights of the integrated decision criteria. In the second step, the Fuzzy TOPSIS method is carried out for the selection of the best software with the quantitative and qualitative evaluations of the decision makers.