Kuşakcı, Ali Osman
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Araştırma projeleri
Organizasyon Birimleri
Yönetim Bilimleri Fakültesi, İşletme Bölümü
Küresel rekabete ayak uydurmak ve sürdürülebilir olmak isteyen tüm şirketler ve kurumlar, değişimi doğru bir şekilde yönetmek, teknolojinin gerekli kıldığı zihinsel ve operasyonel dönüşümü kurumlarına hızlı bir şekilde adapte etmek zorundadırlar.
Adı Soyadı
Ali Osman Kuşakcı
İlgi Alanları
Business Analytics, Artificial Intelligence, Genetic Algorithm, Constrained Optimization
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2 sonuçlar
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Yayın Designing reverse logistics network for end-of-life vehicles: A sustainability perspective in a fragile supply chain(The International Journal of Industrial Engineering, 2021) Kuşakcı, Ali Osman; Kuşakcı, Ali Osman; Ayvaz, Berk; Kuşakcı, Ali Osman; Aydın, Nezir; Ertaş, Emine; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme BölümüEnvironmental guidelines in the automotive industry greatly emphasize the recycling, remanufacturing, and recovering of end-of-life vehicles (ELVs). Given the principle of extended producer responsibility, developing an effective reverse logistics network is the most significant digit ahead of the industry. However, initial attempts addressing the reverse logistics network design (RLND) problem were short-sighted, focusing on cost minimization. Undoubtedly, the whole concept of recycling was founded on the pillars of sustainability. Accordingly, reverse logistics network design must be motivated by long-term environmental and societal benefits. This fact has become even more prominent in the current pandemic environment as COVID-19 has added serious uncertainties and risks to the supply chain processes. This paper reiterates the essence of sustainability goals and proposes a multi-objective fuzzy mathematical model to RLND problem for ELVs under such a fragile and fuzzy environment. The coverage of the proposed model is to optimally determine the locations and numbers of the facilities and the flows among them concerning environmental, social, and economic aspects. Hence, the model aims to reach a robust compromise solution that leads to a resilient network design. A real case study on the ELV market in Istanbul/Turkey proves the merit of the developed model.Yayın Evaluation of maintenance strategies using Pythagorean fuzzy sets: A novel model for time-constrained processes(Taylor & Francis, 2025) Sancar, Semih; Kuşakcı, Ali Osman; Ayvaz, Berk; Yönetim Bilimleri Fakültesi, İşletme BölümüConsidering the large investment cost as well as expectations such as increased awareness ofoccupational safety and quality, choosing the appropriate maintenance strategy emerges as acritical decision. Time-constrained production processes, which demand defect-free produc-tion within a limited timeframe, intensify the significance of this selection problem. In suchproduction processes, the product is generally short-lived, so stocking is not possible.Therefore, halting operations incurs significant costs. In this study, we aim to choose themost appropriate maintenance planning strategy for time-constrained processes. Given thatthe process of selecting a maintenance strategy is ambiguous and lacks conclusive assess-ments, it involves numerous hazy criteria. Thus, this study presents a framework that includesthe Pythagorean Fuzzy AHP-CRITIC-Entropy combined weighting method hybridized withPythagorean Fuzzy WASPAS. The model evaluates the maintenance options of Türkiye’s largestprinting company, which operates under time-constrained processes, in a real-world case studyproving the merit of the proposed methodology.
