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...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2013
|
Online Access: | http://ndltd.ncl.edu.tw/handle/5m7s4w |
id |
ndltd-TW-101TKU05457010 |
---|---|
record_format |
oai_dc |
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 |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
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 |
work_keys_str_mv |
AT yuhaohsu adiffusionforecastingmodelwithapplicationtotheiphonedemand AT xǔyùháo adiffusionforecastingmodelwithapplicationtotheiphonedemand AT yuhaohsu yǐkuòsànyùcèzhìhuìxíngshǒujīxūqiúyǐiphonewèilì AT xǔyùháo yǐkuòsànyùcèzhìhuìxíngshǒujīxūqiúyǐiphonewèilì AT yuhaohsu diffusionforecastingmodelwithapplicationtotheiphonedemand AT xǔyùháo diffusionforecastingmodelwithapplicationtotheiphonedemand |
_version_ |
1719108832340213760 |