A Smart Framework for Intelligent Manufacturing in the Aluminum Profile Industry Using IoT Technologies

Wang, X, Zhong, Y, Zou, A and Deng, H 2019, 'A Smart Framework for Intelligent Manufacturing in the Aluminum Profile Industry Using IoT Technologies', in Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018, Changsha, China, 19-20 May 2018, pp. 38-45.


Document type: Conference Paper
Collection: Conference Papers

Title A Smart Framework for Intelligent Manufacturing in the Aluminum Profile Industry Using IoT Technologies
Author(s) Wang, X
Zhong, Y
Zou, A
Deng, H
Year 2019
Conference name the 24th International Conference on Industrial Engineering and Engineering Management 2018
Conference location Changsha, China
Conference dates 19-20 May 2018
Proceedings title Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018
Publisher Springer
Place of publication Singapore
Start page 38
End page 45
Total pages 8
Abstract Intelligent manufacturing is becoming a critical strategy in Made in China 2025. As a result, Chinese manufacturers are encouraged to effectively adopt IoT technologies for improving their competitiveness in the global market. This paper presents a smart framework for facilitating the adoption of IoT technologies in the aluminum profile industry. Such a framework can be used for help individual manufacturers in the aluminum profile industry adequately address various critical factors for product design and production planning with respect to the unpredictable requirements of customers and the availability of much production data. In particular, mould management, warehouse management and their effective integration in aluminum manufacturing can be considered with the use of IoT Technologies. This leads to much better performance in individual manufacturing organizations in the aluminum industry.
Subjects Decision Support and Group Support Systems
Keyword(s) IoT technologies
Mould management
Warehouse management
Information systems
Intelligent manufacturing
DOI - identifier 10.1007/978-981-13-3402-3
Copyright notice © Springer Nature Singapore Pte Ltd. 2019
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