International Data Science & Engineering Symposium

Demand Estimation of Wood Quantity Used in Wood Industries

Sercan ODABAŞI Taner ERSÖZ

Abstract

With the rapid development of technology, competition in the markets is increasing. In the conditions of rising competition, it is inevitable for companies to make predictions for the future. The accuracy of the forecasts will also facilitate the decision-making of companies in the future. Demand forecasts are very important for every company considering these conditions. Demand forecasts play an active role in tactical and strategic decisions taken on the administrative side of companies to achieve their near or far-term goals, bringing the company's assets closer to optimal and thus ensuring the link between the targets set and the operations implemented. According to the data obtained from the firm of Antik Atölye operating in Düzce, the regression analysis method and weighted moving average method were compared. For both methods, estimation modeling was established and implemented. As a result for the Antik Atölye company operating in the wood industry regression analysis method was more effective than weighted moving average method.



Conference
International Data Science & Engineering Symposium
Keywords
Forecasting Regression Analysis Ağırlıklı Hareketli Ortalama Yöntemi

Language
English

Subject
Engineering

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