Data-driven sustainable smart manufacturing: A conceptual framework

Fadwa Mahiri, Aouatif Najoua, S. B. Souda
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引用次数: 6

Abstract

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.
数据驱动的可持续智能制造:概念框架
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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