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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 Related Links Link Description https://doi.org/10.1007/978-981-13-3402-3 Link to Published Version   Versions Version Filter Type Tue, 30 Apr 2019, 12:17:52 EST Filtered Full Altmetric details: Access Statistics: 38 Abstract Views  -  Detailed Statistics Created: Mon, 29 Apr 2019, 13:04:00 EST by Catalyst Administrator