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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-07-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/13/6199 |
| _version_ | 1827688299643273216 |
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| author | Zixin Dou Yanming Sun Yuan Zhang Tao Wang Chuliang Wu Shiqi Fan |
| author_facet | Zixin Dou Yanming Sun Yuan Zhang Tao Wang Chuliang Wu Shiqi Fan |
| author_sort | Zixin Dou |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T09:52:57Z |
| format | Article |
| id | doaj.art-873afe55510d403791ec205c20c19e83 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T09:52:57Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-873afe55510d403791ec205c20c19e832023-11-22T02:35:06ZengMDPI AGApplied Sciences2076-34172021-07-011113619910.3390/app11136199Regional Manufacturing Industry Demand Forecasting: A Deep Learning ApproachZixin Dou0Yanming Sun1Yuan Zhang2Tao Wang3Chuliang Wu4Shiqi Fan5School of Management, Guangzhou University, Guangzhou 510000, ChinaSchool of Management, Guangzhou University, Guangzhou 510000, ChinaSchool of Management, Guangzhou University, Guangzhou 510000, ChinaDepartment of Building Surveying, Faculty of Built Environment, University of Malaya, Kuala Lumpur 50603, MalaysiaSchool of Mathematics and Information Science, Guangzhou University, Guangzhou 510000, ChinaDepartment of Engineering, The University of Hong Kong, Hong Kong 999077, ChinaWith 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.https://www.mdpi.com/2076-3417/11/13/6199manufacturing industrydemand forecastinginfluence factordeep learning |
| spellingShingle | Zixin Dou Yanming Sun Yuan Zhang Tao Wang Chuliang Wu Shiqi Fan Regional Manufacturing Industry Demand Forecasting: A Deep Learning Approach Applied Sciences manufacturing industry demand forecasting influence factor deep learning |
| title | 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_short | Regional Manufacturing Industry Demand Forecasting: A Deep Learning Approach |
| title_sort | regional manufacturing industry demand forecasting a deep learning approach |
| topic | manufacturing industry demand forecasting influence factor deep learning |
| url | https://www.mdpi.com/2076-3417/11/13/6199 |
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