Zaim, Selim

Profil fotoğrafı
 E-posta Adresi
selim.zaim@ihu.edu.tr
ORCID Profili
0000-0003-3540-2264
WoS Profili
ABI-8229-2020
Scopus Profili
7004187773
YÖK Araştırmacı Profili
424F081C46C35BAA
Google Akademik Profili
0_S5vswAAAAJ&hl=tr
TR-Dizin Profili
596306
SOBÄ°AD Profili
9095
Web Sitesi
akademik.ihu.edu.tr/tr/selim-zaim

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

Selim Zaim

İlgi Alanları

Multivariate Data Analysis, Data Analytics, Supply Chain Management, Operations Management

Kurumdaki Durumu

Aktif Personel

Filtreler

20191
Filtreleri Sıfırla

Ayarlar

Yazar: Bayraktar, Erkan × Konu: Bullwhip Effect ×

Arama Sonuçları

Listeleniyor 1 - 1 / 1
  • Küçük Resim
    Yayın
    Assessing the supply chain performance: A causal analysis
    (Springer US, 2019) Tatoğlu, Ekrem; Zaim, Selim; Delen, Dursun; Tatoğlu, Ekrem; Zaim, Selim; Delen, Dursun; Bayraktar, Erkan; Sarı, Kazım; Tatoğlu, Ekrem; Zaim, Selim; Delen, Dursun; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    Measuring the performance-related factors of a unit within a supply-chain is a challenging problem, mainly because of the complex interactions among the members governed by the supply chain strategy employed. Synergistic use of discrete-event simulation and structural equation modeling allows researchers and practitioners to analyze causal relationships between order-fulfillment characteristics of a supply-chain and retailers’ performance metrics. In this study, we model, simulate, and analyze a two-level supply-chain with seasonal linear demand, and using the information therein, develop a causal model to measure the links/relationships among the order-fulfillment factors and the retailer’s performance. According to the findings, of all the order-fulfillment characteristics of a supply-chain, the forecast inaccuracy was found to be the most important in mitigating the bullwhip effect. Concerning the total inventory cost and fill-rate as performance indicators of retailers, the desired service level had the highest priority, followed by the lead-time and forecast inaccuracy, respectively. To reduce the total inventory cost, the bullwhip effect seems to have the lowest priority for the retailers, as it does not appear to have a significant impact on the fill rate. Although seasonality (to some extent) influences the retailer’s performance, it does not seem to have a significant impact on the ranking of the factors affecting retailers’ supply-chain performance; except for the case where the backorder cost is overestimated.