پیش بینی تقاضا در زنجیره تامین با استفاده از الگوریتم های یادگیری ماشین (مورد مطالعه: زنجیره تامین شرکت ایران خودرو)

Abstract

Abstract—the purpose of this paper is to compare two artificial intelligence algorithms for forecasting supply chain demand. In first step data are prepared for entering into forecasting models. In next step, the modeling step, an artificial neural network and support vector machine is presented. The structure of artificial neural network is selected based on previous researchers' results. For measuring errors we use Mean squared error and we use another index for time which is used running the algorithms. The results show that artificial neural network can forecast more accurate meanwhile support vector machine is faster.