Ali Osman Kuşakcı

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.

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Ali Osman Kuşakcı

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Business Analytics, Artificial Intelligence, Genetic Algorithm, Constrained Optimization

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Listeleniyor 1 - 9 / 9

Towards sustainable cities: A sustainability assessment study for metropolitan cities in Turkey via a hybridized IT2F-AHP and COPRAS approach
(Elsevier, 2022) Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Kuşakcı, Sümeyye; Sowe, Samba; Nantembelele, Fatuma Abdallah; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Accelerating trends of urbanization enforce the integration of sustainability principles into urban planning in a local scale to foster prosperity for the next generation of cities. This study incorporates fifty-three indicators on economic, social, environmental, and institutional dimensions to develop a Sustainable Cities Index (SCI) and assess the sustainability performance of thirty metropolitans in Turkey over 2010-2018. Turkish metropolitans constitute an appealing case study due to the rapid urbanization within the same time span. To answer how new metropolitans have been doing and whether they perform better than formerly declared metropolitans in Turkey, we propose a novel methodology with three stages that hybridizes Interval Type-2 Fuzzy Analytical Hierarchy Process (IT2F-AHP) and Complex Proportional Assessment of Alternatives (COPRAS). The former captures a high degree of uncertainty due to the subjective weight assignment by the experts, while the latter calculates aggregate scores for 30 cities. Finally, we conduct posthoc analyses to examine the significance of the urbani-zation policies in Turkey on the SCI scores. Thus, the study provides valuable insights into urbanization practices and encourages local administrations to spend more effort balancing the benefits and costs of public policies on sustainability.
The evaluation of operational efficiencies of Turkish airports: An integrated spherical fuzzy AHP/DEA approach
(Elsevier, 2022) Hacıoğlu, Ümit; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Hacıoğlu, Ümit; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Aksoy, Mine; Hacıoğlu, Ümit; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
The demand for air transport services has significantly increased around the globe, which has brought new investments in airports, which, in turn, requires in-depth efficiency analysis of these capital-intensive endeavors. This study examines the operational efficiencies of 46 Turkish civil airports from 2015 to 2018. We employ a novel hybrid methodology that combines Spherical Fuzzy Sets based Analytic Hierarchy Process (SFS-AHP) and Data Envelopment Analysis (DEA), which provides a solid basis for efficiency analysis. To this end, it can handle the hesitancy and uncertainty that the subjective evaluation process of input and output factors possess. Then, we use Self Organizing Maps (SOM), a machine learning method for clustering, to examine the effect of outlier airports on the efficiency scores. Finally, a posthoc analysis is conducted with Tobit regression model to assess the explanatory power of external factors on the efficiency scores, i.e., tourism potential, number of international flights, distance to the city center, population, public/private ownership, and age of airport. The findings show that 67.2% of the Turkish airports operate below the optimal efficiency level, and 93.5% of them should make considerable efforts to refine their operations by implementing managerial and structural changes to reduce input factors. The results also suggest that the airports located in high-density touristic areas achieve higher efficiency levels. Those relatively closer to the city center lead to more airport traffic, generating more revenues. Thus, both factors have a significant impact on efficiency scores. The study provides a novel efficiency analysis framework for airport operators and policy makers that helps them make informed decisions.
Impact of social sustainability on supply chain performance with mediating effect of differentiation: The case of Moroccan manufacturing firms
(Inderscience Enterprises, 2022) Kuşakcı, Ali Osman; Elaiche, Aicha; Yönetim Bilimleri Fakültesi, İşletme Bölümü
This study examines the relationship between social sustainability practices (SSPs) and supply chain performance (SCP) indicators in the context of Moroccan manufacturing companies with a three-step research methodology. Among the various supply chain KPIs used in the literature, the three most preferred by supply chain experts were selected with interval type-2 fuzzy AHP (IT2F-AHP) method, which offers an accurate approach in subjective decision-making situations. Afterwards, the data collected with the developed instrument were evaluated using the structural equation modelling (SEM) technique. Lastly, in order to understand the nature of the inferred relationship, the moderating role of differentiation, as a competitive advantage strategy, was assessed. The findings obtained show that there is a significant relationship between social sustainability and SCP for the Moroccan manufacturing sector, which may inspire further research in other developing markets. Additionally, it has been found that differentiation has a total mediation effect on the two aforementioned constructs' relationship.
End-of-life aircraft : The example of Turkish civil aviation industry
(Ankara Üniversitesi, 2020) Kuşakcı, Ali Osman; Taş, S.; Elaiche, Aicha; Yönetim Bilimleri Fakültesi, İşletme Bölümü
[No Abstract Available]
A fuzzy integer programming model to locate temporary medical facilities as part of pre-disaster management
(IGI Global, 2019) Kuşakcı, Ali Osman; Kuşakcı, Ali Osman; Kuşakcı, Ali Osman; Ayvaz, Berk; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
The number and the scale of natural disasters have drastically increased over the last decades. One of the most vital stages of disaster preparedness is disaster response planning, and it plays an important role in limiting material and immaterial consequences, such as those caused by large scale earthquakes. In order to minimize human suffering and death, the aim of establishing a well-designed humanitarian relief chain must be to provide medicine, water, shelter, emergency food and supplies to the affected areas. From a holistic perspective, providing timely first aid and rapid transfer of injured victims to a medical facility is one of the most essential component of such chain. Thus, the location of first aid hospitals must be determined following a careful thought and planning process. This study presents a fuzzy integer programming model to determine the best location of the temporary hospitals which are expected to support extant state hospitals after a major earthquake. This study applies the proposed fuzzy model to the Üsküdar province of Istanbul and identifies optimum number and locations of field hospitals for a severe earthquake scenario.
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 Bölümü
Environmental 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.
Assessment of Ibn Haldun’s model for sustainability using structural equation modelling
(International Association for Business and Society (IABS), 2020) Kuşakcı, Ali Osman; Kuşakcı, Sümeyye; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
This work firstly aims to develop a sustainability model based on Ibn Haldun’s teaching of sustainability. Religious coloring refers to the spirituality, which is re-discovered in modern ages and transferred to the workplace. Spirituality stimulates virtuousness at personal and organizational level, which in turn generates managerial sustainability meaning the lifespan of a company. While personal virtuousness refers social ethics, organizational level virtuousness could be considered as Corporate Social Responsibility. Secondly, it attempts to evaluate the relevance of Ibn Haldun’s approach to contemporary business organizations. In order to demonstrate the relationship between spirituality, virtuousness, CSR, and sustainability; data collected from Corporate Knights’ Global 100 companies were analyzed using structural equation modelling. According to the results, while workplace spirituality leads to ethical conduct and higher CSR/CS score, the relationship between spirituality or CSR/CS and financial performance is not significant. However, it seems that higher lifespan of business enterprises is related to their CSR/CS score.
ERP system evaluation in the defense industry: A hybridized spherical fuzzy AHP-codas approach
(World Scientific, 2023) Nebati, Emine Elif; Ayvaz, Berk; Kuşakcı, Ali Osman; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Design/methodology/approach: Converting data into information and its diffusion along all organization units has become a vital survival skill. At this point, an ERP system provides an invisible network among a company's internal and external stakeholders and plays a strategic role. Moreover, ERP systems offer some advantages. For example, integrating financial, customer, and order information, speeding up production processes, and reducing stock level and order lead time. Therefore, we propose an integrated spherical fuzzy-analytical hierarchy process (SF-AHP) and spherical fuzzy-combinative distance-based assessment (SF-CODAS) framework to prioritize the best ERP software provider for the defense industry. Purpose: Despite having the advantages mentioned above, some crucial aspects must be considered while selecting an ERP package. Factors such as high cost, difficulty in installation, and security threats can be very challenging. The latter issue needs special care in the defense industry. This study aims to design an evaluation framework for the ERP selection problem in the sector.Findings: One of the pivoting defense companies in Turkey is chosen as a case study. Seven ERP systems are evaluated with the proposed model. The results show that the proposed model can be successfully implemented in a defense company context. Furthermore, a sensitivity analysis proves the robustness of the approach to varying threshold parameters in CODAS and different fuzzy weighting approaches.Originality/value: The defense professionals prioritize a different set of selection criteria than conventional manufacturing firms. The study provides a rare holistic framework for the defense industry using a hybridized SF-AHP-CODAS technique. Thus, the study may serve as reference work for the researchers and decision-makers during the digitalization journey of defense firms.
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 Bölümü
Considering 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.

Kuşakcı, Ali Osman

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