Add to ORKGThe main purpose of this research is to use the Grey prediction model to construct a method to predict the price of steel in Taiwan as a reference for the manufacturing industry to use when raw material costs fluctuate greatly. The research results show that the cost forecast error rate is less than 3%, which has a high reference value. Therefore, the results of this study can be used as a reference for Taiwan\u27s manufacturing industry to establish cost control and procurement risk early warning
© 2017 Elsevier B.V. In the context of the growth slowdown in China, it is important to accurately f...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and t...
This study utilizes the black swan theorem to discuss how to face the lack of historical data and ou...
Export contributes to a large extent to economic growth of an island-type economylikeTaiwan. The sci...
The purchase cost of equipment and materials occupies a large proportion in the cost of power grid t...
Being able to forecast time series accurately has been quite a popular subject for researchers both ...
[[abstract]]This study was to apply Grey Prediction Model in order to construct a prediction model o...
[[abstract]]Without a doubt, the current commercial circumstance exists in a strong competition and ...
[[abstract]]The use of green materials reflects the notion that production materials should generate...
Abstract:- Considering the need to prepare short to mid-term plan and budget for building and mainta...
Electronic paper (e-paper) is a major sector of Taiwan’s Optoelectronic industry. It has paid much a...
[[abstract]]This study examines the precision of the Grey forecasting model applied to samples based...
Industrial forecasting is a top-echelon research domain, which has over the past several years expe...
This report is created by the author during his internship at Haitong Bank (“Haitong”), to present a...
© 2017 Elsevier B.V. In the context of the growth slowdown in China, it is important to accurately f...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and t...
This study utilizes the black swan theorem to discuss how to face the lack of historical data and ou...
Export contributes to a large extent to economic growth of an island-type economylikeTaiwan. The sci...
The purchase cost of equipment and materials occupies a large proportion in the cost of power grid t...
Being able to forecast time series accurately has been quite a popular subject for researchers both ...
[[abstract]]This study was to apply Grey Prediction Model in order to construct a prediction model o...
[[abstract]]Without a doubt, the current commercial circumstance exists in a strong competition and ...
[[abstract]]The use of green materials reflects the notion that production materials should generate...
Abstract:- Considering the need to prepare short to mid-term plan and budget for building and mainta...
Electronic paper (e-paper) is a major sector of Taiwan’s Optoelectronic industry. It has paid much a...
[[abstract]]This study examines the precision of the Grey forecasting model applied to samples based...
Industrial forecasting is a top-echelon research domain, which has over the past several years expe...
This report is created by the author during his internship at Haitong Bank (“Haitong”), to present a...
© 2017 Elsevier B.V. In the context of the growth slowdown in China, it is important to accurately f...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
With the rapid development of China’s manufacturing, energy consumption has increased rapidly, and t...