期刊论文详细信息
JOURNAL OF CLEANER PRODUCTION 卷:100
Energy management based on Internet of Things: practices and framework for adoption in production management
Article
Shrouf, Fadi1,2  Miragliotta, Giovanni1 
[1] Politecn Milano POLIMI, Dept Management Econ & Ind Engn, Milan, Italy
[2] Univ Politecn Madrid, ETSII, Dept Ind Engn Business Adm & Stat, E-28040 Madrid, Spain
关键词: Internet of Things;    Energy consumption awareness;    Energy-efficient production management practices;    Energy management practices;    Framework;   
DOI  :  10.1016/j.jclepro.2015.03.055
来源: Elsevier
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【 摘 要 】

In today's manufacturing scenario, rising energy prices, increasing ecological awareness, and changing consumer behaviors are driving decision-makers to prioritize green manufacturing. The Internet of Things paradigm promises to increase the visibility and awareness of energy consumption, thanks to smart sensors and smart meters at the machine and production line level. Consequently, real-time energy consumption data from manufacturing processes can be collected easily, and then analyzed, to improve energy-aware decision-making. Relying on a comprehensive literature review and on experts' insight, this paper contributes to the understanding of energy-efficient production management practices that are enhanced and enabled by the Internet of Things technology. In addition, it discusses the benefits that can be obtained thanks to adopting such management practices. Eventually, a framework is presented to support the integration of gathered energy data into a company's information technology tools and platforms. This is done with the ultimate goal of highlighting how operational and tactical decision-making processes could leverage on such data in order to improve energy efficiency, and therefore competitiveness, of manufacturing companies. With the outcomes of this paper, energy managers can approach the Internet of Things adoption in a benefit-driven manner, addressing those energy management practices that are more aligned with company maturity, measurable data and available information systems and tools. (C) 2015 Elsevier Ltd. All rights reserved.

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