数据驱动的可持续智能制造:概念框架

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI:10.1109/ISCV49265.2020.9204337

Fadwa Mahiri, Aouatif Najoua, S. B. Souda

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引用次数: 6

摘要

物联网技术、大数据分析、云计算和人工智能的进步从根本上影响了当今的制造系统，并增加了制造业产生的数据的增长。大数据作为智能制造的驱动钥匙，使企业能够采用数据驱动的方法来提高竞争力、效率和可持续性。本文概述了数据在制造业中的历史演变，将智能制造的关键技术与可持续性联系起来，并从产品生命周期的角度提出了一个概念框架，以展示大数据分析在可持续智能制造中的潜在应用。

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Data-driven sustainable smart manufacturing: A conceptual framework

The IoT technologies, big data analytics, cloud computing, and artificial intelligence advances fundamentally impacted today’s manufacturing systems and increased the growth of data generated from manufacturing. Big data as a driver key of intelligent manufacturing empowered companies to adopt data driven approaches to enhance competitiveness, efficiency and sustainability. In this paper a historical evolution of data in manufacturing is overviewed, the smart manufacturing its key technologies and sustainability are related, and a conceptual framework from lifecycle product perspective was proposed to show potential applications of big data analytics in sustainable smart manufacturing.

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来源期刊

2020 International Conference on Intelligent Systems and Computer Vision (ISCV)

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