Dergiler / Veteriner Hekimler Derneği Dergisi / 2020 / Cilt: 91 - Sayı: 1

Modelling of the milk supplied to the industry in Turkey through Box-Jenkins and Winters' Exponential Smoothing methods

Sayfa
49–60
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The results of the analyses indicate that the Winters' Exponential Smoothing model gives more consistent results than the Box-Jenkins model with respect to the future forecast value and decision-making criterion of the amount of milk supplied to the industry.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Analysis of the quantity of cow milk supplied to the industry in Turkey is one of the methods that could provide stakeholders with the most accurate results from the perspective of raw milk projections and the interpretation of the sector.
📊
Temel Bulgular & Veri:The present study is intended to model the time series data of the amount of milk supplied to the dairy industry in Turkey between 2013/01 and 2018/03 using Box-Jenkins and Winters' Exponential Smoothing methods, and to analyse the production of milk and the future of the dairy industry in Turkey utilising the forecasts obtained from such models.
💡
Sonuç & Katkı:The results of the analyses indicate that the Winters' Exponential Smoothing model gives more consistent results than the Box-Jenkins model with respect to the future forecast value and decision-making criterion of the amount of milk supplied to the industry.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:2013 Verileri
⚙️Değişkenler:Alan Parametreleri

Özet

Analysis of the quantity of cow milk supplied to the industry in Turkey is one of the methods that could provide stakeholders with the most accurate results from the perspective of raw milk projections and the interpretation of the sector. Therefore, it is important that the amount of milk supplied to the industry is used instead of the total amount of milk produced in the projections of the sector. The present study is intended to model the time series data of the amount of milk supplied to the dairy industry in Turkey between 2013/01 and 2018/03 using Box-Jenkins and Winters' Exponential Smoothing methods, and to analyse the production of milk and the future of the dairy industry in Turkey utilising the forecasts obtained from such models. The results of the analyses indicate that the Winters' Exponential Smoothing model gives more consistent results than the Box-Jenkins model with respect to the future forecast value and decision-making criterion of the amount of milk supplied to the industry.

🔖

Bu Makaleye Atıf Yap

AKIN, A. C., TEKİNDAL, M. A., ARIKAN, M. S., ÇEVRİMLİ, M. B. (2020). Modelling of the milk supplied to the industry in Turkey through Box-Jenkins and Winters' Exponential Smoothing methods. Veteriner Hekimler Derneği Dergisi, Cilt: 91 - Sayı: 1, 49–60. https://ajindex.com/articles/332957

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (16)

  1. Akın AC (2016): Türkiye süt sanayi işletmelerinin analizi ve sektöre ilişkin sorunların tespiti. PhD, Ankara Üniversitesi. Ankara. Türkiye
  2. TURKSTAT (2019): Sağılan hayvan sayısı ve süt üretim miktarı. Türkiye İstatistik Kurumu. Erişim adresi: http://tuik.gov.tr/PreTablo.do?alt_id=1002 Erişim tarihi: 18 March 2019
  3. TZOB (2011): Türkiye Ziraat Odaları Birliği Zirai ve İktisadi Rapor 2007-2010. Aydoğdu Ofset. Ankara. Türkiye
  4. Kaya Kuyululu ÇY (2009): Süt üretiminde arz yönetimi. Aydın İli Damızlık Sığır Yetiştiricileri Birliği Yayınları 2. Ankara
  5. State Planning Organisation (2001): 8. Beş Yıllık Kalkınma Planı Gıda Sanayii Özel İhtisas Komisyonu Raporu Süt ve Süt Ürünleri Sanayii Alt Komisyon Raporu. Ankara. Türkiye
  6. Günlü A (2011): Avrupa Birliği uyum sürecinde Türkiye süt sektöründe sorunlar ve çözüm önerileri. AB Uyum Sürecinde Türkiye Hayvancılık Kongresi; Ankara, Türkiye
  7. Guan Z, Philpott AB (2011): A multistage stochastic programming model for the New Zealand dairy industry. International Journal of Production Economics, 134 (2), 289-299
  8. Özen D (2017): Türkiye’de küçükbaş hayvan sayısının Box-Jenkis yöntemiyle modellenmesi ve ileriye yönelik projeksiyonu, II. Ulusal Hayvancılık Ekonomisi Kongresi Bildiri Kitabı. Antalya, Türkiye, 170
  9. Akter S, Rahman S (2010): Agribusiness forecasting with univariate time series modelling techniques: The case of a dairy cooperative in the UK. Journal of Farm Management, 13(11), 747-764
  10. Arun Patil B (2015): A study of growth rates on milk and milk products of bijapur and bagalkoat co-operative milk union limited (BIMUL). PhD, Professor Jayashankar Telangana State Agricultural University. Hyderabad
  11. Sankar TJ, Prabakaran R (2012): Forecasting milk production in Tamilnadu. International Multidisciplinary Research Journal, (1), 10-15
  12. Ahmed F, Shah H, Raza I, Saboor A (2011). Forecasting milk production in Pakistan. Pakistan Journal of Agricultural Research, 24(1-4), 82-85
  13. Deshmukh SS, Paramasivam R (2016): Forecasting of milk production in India with ARIMA and VAR time series models. Asian Journal of Dairy & Food Research, 35(1), 17-22
  14. Hansen BG (2015): Different methods to forecast milk delivery to dairy: a comparison for forecasting. International Journal of Agricultural Management, 4(3), 132-140
  15. Hansen BG, Li Y (2017): An analysis of past world market prices of feed and milk and predictions for the future. Agribusiness, 33(2), 175-193
  16. Tekindal MA, Güllü Ö, Y