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Browsing by Author "Ozkan Ozen, Yesim Deniz"

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    Article
    Citation - WoS: 31
    Citation - Scopus: 44
    A proposed sustainable and digital collection and classification center model to manage e-waste in emerging economies
    (Emerald Group Holdings Ltd., 2020) Yigit Kazancoglu; Melisa Ozbiltekin-Pala; Yeşim Deniz Özkan-Özen; Muhittin Saǧnak; Ozbiltekin, Melisa; Kazancoglu, Yigit; Sagnak, Muhittin; Ozkan Ozen, Yesim Deniz
    Purpose: This study aims to propose an electronic waste collection and classification system to enhance social environmental and economic sustainability by integrating data-driven technologies in emerging economies. Design/methodology/approach: GM (1 1) model under grey prediction is used in this study in order to estimate the trend of the amount of collected electronic waste in emerging economies. Findings: It is revealed that the amount of collected electronic waste is increasing day by day and within the framework of sustainability in the process of collecting and classification of electronic waste digital technologies were found to be lacking. It has been determined that this deficiency together with the increasing amount of electronic waste has caused environmental social and economic damage to emerging economies. Originality/value: The main originality of this study is integrating electronic waste collection and classification processes with data-driven technologies and sustainability which is a relatively new subject. © 2021 Elsevier B.V. All rights reserved.
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    Citation - WoS: 23
    Citation - Scopus: 28
    Decision-making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA)
    (Emerald Group Holdings Ltd., 2020) Muhittin Saǧnak; Yigit Kazancoglu; Yeşim Deniz Özkan-Özen; Jose Arturo Garza-Reyes; Garza-Reyes, Jose Arturo; Ozen, Yesim Deniz Ozkan; Sagnak, Muhittin; Kazancoglu, Yigit; Ozkan Ozen, Yesim Deniz
    Purpose: The aim of the present study is to overcome some of the limitations of the FMEA method by presenting a theoretical base for considering risk evaluation into its assessment methodology and proposing an approach for its implementation. Design/methodology/approach: Fuzzy AHP is used to calculate the weights of the likelihood of occurrence (O) severity (S) and difficulty of detection (D). Additionally the prospect-theory-based TODIM method was integrated with fuzzy logic. Thus fuzzy TODIM was employed to calculate the ranking of potential failure modes according to their risk priority numbers (RPNs). In order to verify the results of the study in-depth interviews were conducted with the participation of industry experts. Findings: The results are very much in line with prospect theory. Therefore practitioners may apply the proposed method to FMEA. The most crucial failure mode for a firm's attention is furnace failure followed by generator failure crane failure tank failure kettle failure dryer failure and operator failure respectively. Originality/value: The originality of this paper consists in integrating prospect theory with the FMEA method in order to overcome the limitations naturally inherent in the calculation of the FMEA's RPNs. © 2021 Elsevier B.V. All rights reserved.
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