Duration Estimation with Artificial Neural Networks in Turkish Public Projects

Mehmet Sena Kaşka; Işık Ateş Kıral; Anıl Niş

Makale detayları

Duration Estimation with Artificial Neural Networks in Turkish Public Projects

Yazarlar:

Mehmet Sena Kaşka | Işık Ateş Kıral | Anıl Niş

Yayıncı:

İstanbul Gelisim University

Ana Başlıklar:

Nöral Ağlar | Yapı İşletmesi

Dergi:

International Journal of Engineering Technologies Vol.9 Issue 4, pp.102-108

Belge Tipi:

Makale

Yayın Tarihi:

10/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001342169

pISSN:

2149-0104

Anahtar kelimeler:

Özet:

 Duration estimation in public projects in Turkey plays a critical role in the successful completion of the project. Failure to estimate the project duration correctly can lead to cost increases and time losses. There is a strong relationship between cost and duration, and correct modeling of this relationship is of great importance in terms of project management. Artificial neural networks ANN are an important tool in this process with their capacity to model complex and non-linear relationships. In this study, duration estimation was made with an artificial neural network model using the cost and tendering unit data of 25 public projects in Turkey. The results obtained show that the model is fast and reliable.

 Duration estimation in public projects in Turkey plays a critical role in the successful completion of the project. Failure to estimate the project duration correctly can lead to cost increases and time losses. There is a strong relationship between cost and duration, and correct modeling of this relationship is of great importance in terms of project management. Artificial neural networks ANN are an important tool in this process with their capacity to model complex and non-linear relationships. In this study, duration estimation was made with an artificial neural network model using the cost and tendering unit data of 25 public projects in Turkey. The results obtained show that the model is fast and reliable.

 Duration estimation in public projects in Turkey plays a critical role in the successful completion of the project. Failure to estimate the project duration correctly can lead to cost increases and time losses. There is a strong relationship between cost and duration, and correct modeling of this relationship is of great importance in terms of project management. Artificial neural networks ANN are an important tool in this process with their capacity to model complex and non-linear relationships. In this study, duration estimation was made with an artificial neural network model using the cost and tendering unit data of 25 public projects in Turkey. The results obtained show that the model is fast and reliable.

 Türkiyede kamu projelerinde süre tahmini, projenin başarıyla tamamlanması açısından kritik bir rol oynar. Proje süresinin doğru tahmin edilmemesi, maliyet artışlarına ve zaman kayıplarına yol açabilir. Maliyet ve süre arasında güçlü bir ilişki bulunmakta olup, bu ilişkinin doğru modellenmesi proje yönetimi açısından büyük önem taşır. Yapay sinir ağları YSA, karmaşık ve doğrusal olmayan ilişkileri modelleyebilme kapasitesi ile bu süreçte önemli bir araçtır. Bu çalışmada, Türkiyedeki 25 kamu projesine ait maliyet ve ihaleyi yapan ilgili birim verileri kullanılarak yapay sinir ağı modeli ile süre tahmini yapılmıştır. Elde edilen sonuçlar modelin hızlı ve güvenilir olduğunu göstermektedir.

Makale detayları

Duration Estimation with Artificial Neural Networks in Turkish Public Projects

Yazarlar:

Mehmet Sena Kaşka | Işık Ateş Kıral | Anıl Niş

Yayıncı:

İstanbul Gelisim University

Ana Başlıklar:

Nöral Ağlar | Yapı İşletmesi

Dergi:

International Journal of Engineering Technologies Vol.9 Issue 4, pp.102-108

Belge Tipi:

Makale

Yayın Tarihi:

10/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001342169

pISSN:

2149-0104

Project management

artificial neural networks

cost estimation

duration estimation

public projectsProje yönetimi

yapay sinir ağları

maliyet tahmini

süre tahmini

kamu projeleri

Sayı

Makale detayları

Yazarlar: Mehmet Sena Kaşka | Işık Ateş Kıral | Anıl Niş

Yayıncı: İstanbul Gelisim University

Ana Başlıklar: Nöral Ağlar | Yapı İşletmesi

Dergi: International Journal of Engineering Technologies Vol.9 Issue 4, pp.102-108

Belge Tipi: Makale

Yayın Tarihi: 10/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001342169

pISSN: 2149-0104

Sayı

Yazarlar:

Mehmet Sena Kaşka | Işık Ateş Kıral | Anıl Niş

Yayıncı:

İstanbul Gelisim University

Ana Başlıklar:

Nöral Ağlar | Yapı İşletmesi

Dergi:

International Journal of Engineering Technologies Vol.9 Issue 4, pp.102-108

Belge Tipi:

Makale

Yayın Tarihi:

10/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001342169

pISSN:

2149-0104