Forecasting Techniques and Applications

Demand, inventory, and production continuously influence one another in supply chains. Sudden demand changes, inaccurate records, production disruptions, and external factors can create irregular fluctuations. Although demand or sales data are often available, inventory and production information may be incomplete or…

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Milk is a staple food item in the nutrition of both children and adults as well as, milk is also the raw material of many industrially produced foods such as drinking milk, cheese, yoghurt, butter, cream, milk powder, milk cream, buttermilk, ice cream and milk desserts. In the application part of the study, demand for…

Companies frequently utilized multiple sales channels to ensure sustainability. However, attempts to fulfill all incoming orders without sufficient consideration of operational constraints resulted in significant challenges in planning and production processes. Therefore, effective order management was considered esse…

Forecasting the supply of raw milk is an essential task for nations to determine the price and manage the demand explicitly. It is also a challenging task due to the nature of raw milk, which is influenced by numerous factors. Recent artificial learning models are used in conjunction with traditional statistical model…

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The study aims to identify the most suitable machine learning-based regression model that can be used to predict the future course of exports by analysing the macroeconomic indicators affecting Türkiye’s export performance and through variables with a high correlation with exports. The study utilises 12 different macr…

Abstract This work explores the application of state-of-the-art techniques of time series forecasting to the delignification process in the pulp and paper industry, aiming to enhance sustainability and efficiency. While traditional machine learning models, such as Multilayer Perceptron (MLP) and Long Short-Term Memory…

Demand forecasting for medical and consumable supplies in healthcare institutions is a challenging problem due to irregular usage patterns, seasonality, sudden demand spikes, and data sparsity, and inaccurate forecasts may lead to stock-outs, excessive inventory costs, and disruptions in patient care. This study propo…

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Denizli ili Serinhisar ilçesinde yoğunlaşan bıçakçılık sektörü, köklü üretim geleneği ve yüksek üretim kapasitesine rağmen dış pazarlara açılma anlamında veri temelli karar destek mekanizmalarından yeterince yararlanmamaktadır. Bu çalışmanın amacı, GTİP 82.11 kodu kapsamında yer alan kesici ağızlı bıçak ürünleri için…

Bu çalışma, Türkiye’de finansal yatırım araçlarının çok dönemli reel getiri performansını Çok Kriterli Karar Verme (ÇKKV) yaklaşımıyla değerlendirmeyi amaçlamaktadır. Analizde, Türkiye İstatistik Kurumu tarafından yayımlanan “Finansal Yatırım Araçlarının Nominal ve Reel Getiri Oranları (2025)” verilerinden yararlanılm…