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    A multi-criteria decision-making approach for greenovative supplier selection
    (University of Cincinnati, 2022) Çaloğlu Büyükselçuk, Elif; Tozan, Hakan; Vayvay, Özalp
    In today???s rapidly changing business environment, green and innovative (greenovative) activities have become indispensable elements of sustainable supply network management. Realization of this fact obliges firms to consider greenovative as well as traditional criteria in determining their supplier. This study provides a new greenovative systematic approach to supplier selection for small and medium-sized enterprises. Fuzzy multi-criteria decision-making (FMCDM)-based techniques were used to determine the most appropriate supplier with the proposed model. To show the usability of the model, an application was carried out on an automotive supply company. Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) approaches were used to calculate the weights of the supplier selection criteria. After determining criteria weights, different multi-criteria decision-making (MCDM) techniques that are often encountered in the literature were used to identify the best supplier.
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    A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas
    (Nature Research, 2022) Eseoğlu, Güneş; Yapsaklı, Kozet; Tozan, Hakan; Vayvay, Özalp
    Optimal technology selection of wastewater treatment plants (WWTPs) necessitates the adoption of data-driven scientific approaches that satisfy the sustainability requirements of the urban ecosystem. Such approaches should be able to provide actionable insights to decision makers constrained by factors such as population growth, land scarcity, and loss of functionality of wastewater treatment plants. The framework in this study proposes a hybrid fuzzy multi-criteria decision making (MCDM) model consisting of the analytical hierarchy process (AHP) and the TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) by using alpha cut series which takes into account the risk aversion of decision makers (DMs) to overcome uncertainties of environmental conditions. The literature to date indicates that the study is the first to presents how a systematic decision-making process is approached by interpreting the interaction of criteria for the selection of wastewater treatment technology through the membership function of Prospect Theory. The proposed methodology reveals that the prominent reference criterion manipulates other sub-criteria according to the function of risk-aversion behavior. The fuzzy sets based on alpha cut series are employed to evaluate both the criteria weight and the rank of the alternatives in the decision-making process to obtain compromise solutions under uncertainty. The dominance degrees of the alternatives are achieved by fuzzy TODIM integrated with the fuzzy analytic hierarchy process (FAHP) which deals with the uncertainty of human judgements. According to the ranking results determined by the dominance degree of alternatives, anaerobic-anoxic-oxic (A2O) without pre-clarification was the most effective process in relation to the sludge disposal cost (C25) calculated as reference criteria. The ranking of four full-scale WWTPs in a metropolitan city of an EMEA country based on 24 sub-criteria listed under the four main criteria, namely the dimensions of sustainability, is used as a case study to verify the usefulness of the fuzzy approach. Motivated by the literature gap related to the failure to consider the psychological behavior of DMs in technology selection problem for wastewater treatment, it is discussed how the proposed hybrid MCDM model can be utilized by reflecting human risk perception in wastewater treatment technology selection for developing urban areas.