Yazar "Karadag, Mehmet" seçeneğine göre listele

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    Green third-party logistics service provider selection using the stratified BWM and ELECTRE
    (Springer India, 2025) Ates, Cagdas; Karadag, Mehmet; Gul, Muhammet
    Following the global effect of COVID-19, the importance of logistics costs in total expenses has risen even more. Businesses have had to reconsider their logistics activities, and many have chosen to do this through a third-party logistics service provider (3PLSP). Multi-criteria decision making (MCDM) is frequently used in the literature to solve the 3PLSP selection problem. However, since choosing a 3PLSP is a strategic decision, the importance of the criteria may change depending on the states arising in the future, such as the transformation obtained by the Green Deal, wars around the world, and equipment shortages. Therefore, this study proposes a hybrid MCDM approach considering such a stratified structure. In this approach, the Stratified Best-Worst Method was used to weigh the criteria, and ELECTRE was applied to select the most appropriate 3PLSP. The findings show that, in green 3PLSP evaluation, the criteria of on-time delivery and service cost come to the fore more than environmental criteria, and that businesses place importance on operational efficiency when other scenarios are combined. Moreover, the study presents a comparative analysis of the proposed hybrid methodology, demonstrating its effectiveness and applicability. The outcomes provide decision-makers with understandings into prioritizing criteria under varying circumstances and contribute to improving the decision-making process in strategic 3PLSP selection.
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    Öğe
    Hybrid Neutrosophic Fuzzy Multi-Criteria Assessment of Energy Efficiency Enhancement Systems: Sustainable Ship Energy Management and Environmental Aspect
    (Mdpi, 2025) Demirel, Hakan; Karadag, Mehmet; Bashan, Veysi; Mutlu, Yusuf Tarik; Kaya, Cenk; Gul, Muhammet; Akyuz, Emre
    Improving ship energy efficiency has become a critical priority for reducing fuel consumption and meeting international decarbonization targets. In this study, eight major groups of energy efficiency improvement systems-including wind and solar energy technologies, hull and propeller modifications, air lubrication, green propulsion options, waste heat recovery, and engine power limitation-were evaluated against seven critical success factors. A hybrid neutrosophic fuzzy multi-criteria decision-making (MCDM) framework was employed to capture expert uncertainty and prioritize alternatives. Neutrosophic fuzzy sets were adopted because they more comprehensively represent uncertainty-simultaneously modeling truth, indeterminacy, and falsity, providing superior capability to address expert ambiguity compared with classical fuzzy, intuitionistic fuzzy, gray, or other uncertainty-handling frameworks. Trapezoidal Neutrosophic Fuzzy Analytic Hierarchy Process (AHP) (TNF-AHP) was first applied to determine the relative importance of the criteria, highlighting fuel savings and cost-effectiveness as dominant factors with 38% weight. Subsequently, the Fuzzy Combined Compromise Solution (F-CoCoSo) method was used to rank the alternatives. Results indicate that solar energy systems and wind-assisted propulsion consistently rank highest (with 3.35 and 2.92 performance scores) across different scenarios, followed by green propulsion technologies, while waste heat recovery and engine power limitation show lower performance. These findings not only provide a structured assessment of current technological options, but also offer actionable guidance for shipowners, operators, and policymakers seeking to prioritize investments in sustainable maritime operations.