A Diffusion Forecasting Model with Application to the iPhone Demand

碩士 === 淡江大學 === 管理科學學系碩士班 === 101 === The smartphone iPhone is entered the market in 2007 and has been all over the world. With the dramatical developing in the smartphone innovation and continuous improvement, the product life cycle of smartphones becomes shorter than before. Therefore, a good fore...

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Main Authors: Yu-Hao Hsu, 許育豪
Other Authors: Ruey-Chyn Tsaur
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/5m7s4w
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spelling ndltd-TW-101TKU054570102019-05-15T21:02:31Z http://ndltd.ncl.edu.tw/handle/5m7s4w A Diffusion Forecasting Model with Application to the iPhone Demand 以擴散預測智慧型手機需求-以iPhone為例 Yu-Hao Hsu 許育豪 碩士 淡江大學 管理科學學系碩士班 101 The smartphone iPhone is entered the market in 2007 and has been all over the world. With the dramatical developing in the smartphone innovation and continuous improvement, the product life cycle of smartphones becomes shorter than before. Therefore, a good forecasting to the smartphone demand can reduce the inventory cost and production cost for the manufactures. In oreder to cope with such problem, we use the iPhone seasonal sales from the third quarter of 2009 to the end of 2012 for illustration by using the Bass diffusion models with the adjustment of price function and attractive character function for the iPhone. The results show that the proposed diffusion model can make a good forecasting performance with the smaller MAPE as well as 14.5%. Ruey-Chyn Tsaur 曹銳勤 2013 學位論文 ; thesis 59 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 淡江大學 === 管理科學學系碩士班 === 101 === The smartphone iPhone is entered the market in 2007 and has been all over the world. With the dramatical developing in the smartphone innovation and continuous improvement, the product life cycle of smartphones becomes shorter than before. Therefore, a good forecasting to the smartphone demand can reduce the inventory cost and production cost for the manufactures. In oreder to cope with such problem, we use the iPhone seasonal sales from the third quarter of 2009 to the end of 2012 for illustration by using the Bass diffusion models with the adjustment of price function and attractive character function for the iPhone. The results show that the proposed diffusion model can make a good forecasting performance with the smaller MAPE as well as 14.5%.
author2 Ruey-Chyn Tsaur
author_facet Ruey-Chyn Tsaur
Yu-Hao Hsu
許育豪
author Yu-Hao Hsu
許育豪
spellingShingle Yu-Hao Hsu
許育豪
A Diffusion Forecasting Model with Application to the iPhone Demand
author_sort Yu-Hao Hsu
title A Diffusion Forecasting Model with Application to the iPhone Demand
title_short A Diffusion Forecasting Model with Application to the iPhone Demand
title_full A Diffusion Forecasting Model with Application to the iPhone Demand
title_fullStr A Diffusion Forecasting Model with Application to the iPhone Demand
title_full_unstemmed A Diffusion Forecasting Model with Application to the iPhone Demand
title_sort diffusion forecasting model with application to the iphone demand
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/5m7s4w
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