Friday 26 April 2013

Analisa Peramalan Terhadap Permintaan Speaker Keluaran Advanced Sound Products Menggunakan Kaedah Rangkaian Neural


Abstract

          Forecasting is a scientific method that used to forecast an event for the future. Forecasting has proven useful to forecast customer demand for any product produced by any company. One of the groups which faced this situation is Advanced Sound Products (ASP). ASP is a company that produced variety product of speakers. The speaker's production is heavily depending on customer demand on monthly before. The main objective of this project is to build up the best forecasting model that will be used to estimate customer demand for six months in advanced. Monthly data of speaker demand that produced for global market (January 1998 to December 2OO3) are used as a study. This forecast model adopts the Neural Network methodology. Microsoft Excel and Matlab version 6.1 are used to develop the model. Therefore, hopefully with the existing of this forecast model, it could help ASP in order to plan the total production of a certain product speaker for the future. Hence, it will enhance their speaker qualities and productivities in order to compete with other company in global market.

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