Kuşakcı, Ali Osman

Profil fotoğrafı
 E-posta Adresi
aliosman.kusakci@ihu.edu.tr
ORCID Profili
0000-0003-1411-0369
WoS Profili
AAG-5110-2019
Scopus Profili
55330793300
YÖK Araştırmacı Profili
43DD5E590083C016
Google Akademik Profili
YZi-UJQAAAAJ&hl=tr&oi=ao
TR-Dizin Profili
720523
Web Sitesi
akademik.ihu.edu.tr/tr/aliosman-kusakci

Araştırma projeleri

Organizasyon Birimleri

Organizasyon Birimi Logosu
Organizasyon Birimi
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

Kurumdaki Durumu

Aktif Personel

Filtreler

2020 - 20223
Filtreleri Sıfırla

Ayarlar

Scopus Q: Q3 ×

Arama Sonuçları

Listeleniyor 1 - 3 / 3
  • Küçük Resim
    Yayın
    Retailer layout design: A novel hybrid approach with association rules mining and MCRAFT
    (Inderscience, 2020) Kuşakcı, Ali Osman; Kuşakcı, Ali Osman; Kuşakcı, Ali Osman; Cesur, Elif Karakaya; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    Spatial layout of a retail store is a crucial decision variable related to both utilisation of store area and purchasing behaviour of the customer. In this respect, the task of optimising the allocation of shelves to specific product segments has become a strategic decision to facilitate a more comfortable shopping environment for customers, which, in turn, increases sales volume. This study proposes a novel hybrid approach to facility layout design problem, which combines association rules mining (ARM) and a facility layout method, MCRAFT. The proposed methodology is composed of two main stages: 1) rule mining; 2) layout design. More specifically, the presented approach exploits the association rules obtained from purchasing records and uses them as a proximity measure input to MCRAFT algorithm to determine the layout of the store. The merit of the proposed methodology is shown with a case study on a prominent Turkish supermarket chain.
  • 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 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.
  • Küçük Resim
    Yayın
    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.