Forecasting Methods for Determiningthe Level of Safety Stock in ElectronicIndustry

• Autores: Fauzia Dianawati, Isti Surjandari, Rainy Nafitri
• Localización: Industrial Engineering: Innovative Networks: 5th International Conference on Industrial Engineering and Industrial Management "CIO 2011", Cartagena, Spain, September 2011, Proceedings / Suresh P. Sethi (dir. congr.), Marija Bogataj (dir. congr.), Lorenzo Ros McDonnell (dir. congr.), 2012, ISBN 978-1-4471-2321-7, págs. 359-366
• Idioma: inglés
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• Resumen

  • The competition in industries force many companies to reduceproduction costs in order to gain more profit. This decision requires a good planning for production schedule. In production planning, forecasting theory to estimate future demand is an important aspect. The problem in this article is to choose the best forecasting method based on the characteristics of historical data inseasonal demand patterns. Results forecast error is then used to calculate the safety stock as a form of anticipatory strategies shortage of material. The results indicate that the best forecasting method is a combination method of Holt-Winters Exponential Smoothing and Naïve, it can decrease Mean Absolute Percentage Error(MAPE) up to 63%.