Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

New Business and Operating Models. Optimization of a Blast Furnace in the Steel Industry. Machine Learning as a Process Optimization

Version 1 : Received: 22 November 2021 / Approved: 23 November 2021 / Online: 23 November 2021 (09:58:44 CET)

A peer-reviewed article of this Preprint also exists.

Redchuk, A.; Walas Mateo, F. New Business Models on Artificial Intelligence—The Case of the Optimization of a Blast Furnace in the Steel Industry by a Machine Learning Solution. Appl. Syst. Innov. 2022, 5, 6. Redchuk, A.; Walas Mateo, F. New Business Models on Artificial Intelligence—The Case of the Optimization of a Blast Furnace in the Steel Industry by a Machine Learning Solution. Appl. Syst. Innov. 2022, 5, 6.

Journal reference: Appl. Syst. Innov. 2021, 5, 6
DOI: 10.3390/asi5010006

Abstract

The article takes the case of the adoption of machine learning in a steel manufacturing process through a platform provided by a novel Canadian startup, Canvass Analytics. This way the steel company could optimize the process in a blast furnace. The content of the paper includes a conceptual framework on key factors around steel manufacturing and machine learning. Method: The article takes the case of the adoption of machine learning in a steel manufacturing process through a platform provided by a novel Canadian startup, Canvass Analytics. This way the steel company could optimize the process in a blast furnace. The content of the paper includes a conceptual framework on key factors around steel manufacturing and machine learning. Results: This case is relevant for the authors by the way the business model proposed by the startup attempts to democratize Artificial Intelligence and Machine Learning in industrial environments. This way the startup delivers value to facilitate traditional industries to obtain better operational results, and contribute to a better use of resources. Conclusion: This work is focused on opportunities that arise around Artificial Intelligence as a driver for new business and operating models. Besides the paper looks into the framework of the adoption of Artificial Intelligence and Machine Learning in a traditional industrial environment towards a smart manufacturing approach.

Keywords

Artificial Intelligence; Machine Learning; Smart manufacturing; Industry 4.0; business model; operating model

Subject

ENGINEERING, Industrial & Manufacturing Engineering

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