STOCK PARTS FORECASTING USING LEAST SQUARE IN PT. DUNIA BARUSA LHOKSEUMAWE

Abdullah, Dahlan and Prasetya, Angga (2015) STOCK PARTS FORECASTING USING LEAST SQUARE IN PT. DUNIA BARUSA LHOKSEUMAWE. ICOMSET 2015 (The International Conference on Mathematics, Science, Education, and Technology). pp. 96-102. ISSN 978-602-19877-3-5

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Abstract

Analysis of demand, particularly demand for spare part stock is to measure the current and forecast demand conditions - the condition in the future. Methods least quare is a method that is most widely used to determine the equation of trend data. Least square forecasting system to capture the pattern of past data is then used to project the data that will come. Measuring demand now means analyzing the present conditions and previously as a source of information to predict the conditions that will come with the assumption that the past situation will be repeated again in the future and how to forecast the demand for spare part stocks for the future and analyze the needs of the spare parts stock in PT. Dunia Barusa. The purpose of the system can allow companies to predict shortages of spare parts and predict stock inventory of spare parts. With the ability of the forecasting system is expected will be used to measure the current demand and the predicted demand for future inventory stock inventory of spare parts in order to remain stable.

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