Remanufacturing intermittent demand forecast: A critical assessment

Abstract

In the remanufacturing industry, customer demands and product returns always display irregular intermittent patterns. It is very difficult to accurately forecast such customer demands and product returns. This paper conducts a comparative assessment of the forecasts derived by various methods, and evaluates the robustness of forecasting methodology through the demand data from a remanufacturing company. The results show the econometric methods are more accurate than the classic methods in terms of the mean squared error (MSE).