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Regional manufacturing industry demand forecasting: A deep learning approach

With the rapid development of the manufacturing industry, demand forecasting has been important. In view of this, considering the influence of environmental complexity and diversity, this study aims to find a more accurate method to forecast manufacturing industry demand. On this basis, this paper u...

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Main Authors: Dou, Zixin, Sun, Yanming, Zhang, Yuan, Wang, Tao, Wu, Chuliang, Fan, Shiqi
Format: Article
Published: MDPI 2021
Subjects:
T Technology (General)
Online Access:http://eprints.um.edu.my/28498/
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spelling my.um.eprints.284982022-08-15T01:44:20Z http://eprints.um.edu.my/28498/ Regional manufacturing industry demand forecasting: A deep learning approach Dou, Zixin Sun, Yanming Zhang, Yuan Wang, Tao Wu, Chuliang Fan, Shiqi T Technology (General) With the rapid development of the manufacturing industry, demand forecasting has been important. In view of this, considering the influence of environmental complexity and diversity, this study aims to find a more accurate method to forecast manufacturing industry demand. On this basis, this paper utilizes a deep learning model for training and makes a comparative study through other models. The results show that: (1) the performance of deep learning is better than other methods; by comparing the results, the reliability of this study is verified. (2) Although the prediction based on the historical data of manufacturing demand alone is successful, the accuracy of the prediction results is significantly lower than when taking into account multiple factors. According to these results, we put forward the development strategy of the manufacturing industry in Guangdong. This will help promote the sustainable development of the manufacturing industry. MDPI 2021-07 Article PeerReviewed Dou, Zixin and Sun, Yanming and Zhang, Yuan and Wang, Tao and Wu, Chuliang and Fan, Shiqi (2021) Regional manufacturing industry demand forecasting: A deep learning approach. Applied Sciences, 11 (13). ISSN 2076-3417, DOI https://doi.org/10.3390/app11136199 <https://doi.org/10.3390/app11136199>. 10.3390/app11136199
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic T Technology (General)
spellingShingle T Technology (General)
Dou, Zixin
Sun, Yanming
Zhang, Yuan
Wang, Tao
Wu, Chuliang
Fan, Shiqi
Regional manufacturing industry demand forecasting: A deep learning approach
description With the rapid development of the manufacturing industry, demand forecasting has been important. In view of this, considering the influence of environmental complexity and diversity, this study aims to find a more accurate method to forecast manufacturing industry demand. On this basis, this paper utilizes a deep learning model for training and makes a comparative study through other models. The results show that: (1) the performance of deep learning is better than other methods; by comparing the results, the reliability of this study is verified. (2) Although the prediction based on the historical data of manufacturing demand alone is successful, the accuracy of the prediction results is significantly lower than when taking into account multiple factors. According to these results, we put forward the development strategy of the manufacturing industry in Guangdong. This will help promote the sustainable development of the manufacturing industry.
format Article
author Dou, Zixin
Sun, Yanming
Zhang, Yuan
Wang, Tao
Wu, Chuliang
Fan, Shiqi
author_facet Dou, Zixin
Sun, Yanming
Zhang, Yuan
Wang, Tao
Wu, Chuliang
Fan, Shiqi
author_sort Dou, Zixin
title Regional manufacturing industry demand forecasting: A deep learning approach
title_short Regional manufacturing industry demand forecasting: A deep learning approach
title_full Regional manufacturing industry demand forecasting: A deep learning approach
title_fullStr Regional manufacturing industry demand forecasting: A deep learning approach
title_full_unstemmed Regional manufacturing industry demand forecasting: A deep learning approach
title_sort regional manufacturing industry demand forecasting: a deep learning approach
publisher MDPI
publishDate 2021
url http://eprints.um.edu.my/28498/
_version_ 1744649119988711424
score 13.211869

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