An Application of Grey System Model for Forecasting Semiconductor Packaging and Testing: A Case Study of P Company

碩士 === 明新科技大學 === 企業管理研究所在職專班 === 100 === This study proposes Grey System models (GM) for forecasting semiconductor packaging and testing “P Company” in Taiwan. The MAPE, MSE and Theil’U inequality coefficient are used to evaluate the predictive errors of the models proposed. The time series data is...

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Main Authors: HSU-CHANG HUNG, 徐昌宏
Other Authors: Hsien-Lun Wong
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/74009443686920098254
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spelling ndltd-TW-100MHIT51210192015-10-13T21:27:35Z http://ndltd.ncl.edu.tw/handle/74009443686920098254 An Application of Grey System Model for Forecasting Semiconductor Packaging and Testing: A Case Study of P Company 應用灰色系統模型於半導體封裝測試之需求預測-以P公司為例 HSU-CHANG HUNG 徐昌宏 碩士 明新科技大學 企業管理研究所在職專班 100 This study proposes Grey System models (GM) for forecasting semiconductor packaging and testing “P Company” in Taiwan. The MAPE, MSE and Theil’U inequality coefficient are used to evaluate the predictive errors of the models proposed. The time series data is obtained from SAP System of “P Company”. The empirical results show that will Data during 2006 to 2011, NGBM model has better predictive performance than GM(1,1) model. In this research we confirmed that the prediction error rate of the GM is less than 10%, therefore, that it can be applicable to medium-term time service data forecasting. Hsien-Lun Wong 王賢崙 2012 學位論文 ; thesis 71 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 明新科技大學 === 企業管理研究所在職專班 === 100 === This study proposes Grey System models (GM) for forecasting semiconductor packaging and testing “P Company” in Taiwan. The MAPE, MSE and Theil’U inequality coefficient are used to evaluate the predictive errors of the models proposed. The time series data is obtained from SAP System of “P Company”. The empirical results show that will Data during 2006 to 2011, NGBM model has better predictive performance than GM(1,1) model. In this research we confirmed that the prediction error rate of the GM is less than 10%, therefore, that it can be applicable to medium-term time service data forecasting.
author2 Hsien-Lun Wong
author_facet Hsien-Lun Wong
HSU-CHANG HUNG
徐昌宏
author HSU-CHANG HUNG
徐昌宏
spellingShingle HSU-CHANG HUNG
徐昌宏
An Application of Grey System Model for Forecasting Semiconductor Packaging and Testing: A Case Study of P Company
author_sort HSU-CHANG HUNG
title An Application of Grey System Model for Forecasting Semiconductor Packaging and Testing: A Case Study of P Company
title_short An Application of Grey System Model for Forecasting Semiconductor Packaging and Testing: A Case Study of P Company
title_full An Application of Grey System Model for Forecasting Semiconductor Packaging and Testing: A Case Study of P Company
title_fullStr An Application of Grey System Model for Forecasting Semiconductor Packaging and Testing: A Case Study of P Company
title_full_unstemmed An Application of Grey System Model for Forecasting Semiconductor Packaging and Testing: A Case Study of P Company
title_sort application of grey system model for forecasting semiconductor packaging and testing: a case study of p company
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/74009443686920098254
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