UDC 658.787
The article focuses on developing a methodology for forecasting seasonal demand for spare parts in multi-brand auto service centers in the Republic of Cyprus. A mathematical model based on multifactorial regression is proposed, taking into account the seasonality of tourist flows and the specifics of island logistics. The methodology validation showed a reduction in average forecast error to 14% and an increase in service level to 95.8%.
demand forecasting, spare parts, auto service, island economy, seasonality, inventory management, Cyprus, regression model
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