Abstract

With the rapid development of sensing, communication, computing technologies, and analytics techniques, today’s manufacturing is marching towards a new generation of sustainability, digitalization, and intelligence. Even though the significance of both sustainability and intelligence is well recognized by academia, industry, as well as governments, and substantial efforts are devoted to both areas, the intersection of the two has not been fully exploited. Conventionally, studies in sustainable manufacturing and smart manufacturing have different objectives and employ different tools. Nevertheless, in the design and implementation of smart factories, sustainability, and energy efficiency are supposed to be important goals. Moreover, big data based decision-making techniques that are developed and applied for smart manufacturing have great potential in promoting the sustainability of manufacturing. In this paper, the state-of-the-art of sustainable and smart manufacturing is first reviewed based on the PRISMA framework, with a focus on how they interact and benefit each other. Key problems in both fields are then identified and discussed. Specially, different technologies emerging in the 4th industrial revolution and their dedications on sustainability are discussed. In addition, the impacts of smart manufacturing technologies on sustainable energy industry are analyzed. Finally, opportunities and challenges in the intersection of the two are identified for future investigation. The scope examined in this paper will be interesting to researchers, engineers, business owners, and policymakers in the manufacturing community, and could serve as a fundamental guideline for future studies in these areas.

Highlights

  • Since James Watt redesigned the steam engines in the 18th century, which was the cornerstone to the 1st industrial revolution, human’s capability to manufacture products has been improved dramatically

  • With the availability of big data, the advancement of computational capability, and the popularization of smart devices, the manufacturing industries is marching towards a new era, namely, the 4th industrial revolution

  • Benefited from the recent development in smart manufacturing technologies, more and more advanced data analytics techniques are integrated with modeling, monitoring, and decision-making technologies, and adopted in numerous studies related to the energy industry

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Summary

Introduction

Since James Watt redesigned the steam engines in the 18th century, which was the cornerstone to the 1st industrial revolution, human’s capability to manufacture products has been improved dramatically. The way of manufacturing products has changed significantly in the following the 2nd and the 3rd industrial revolutions, which arose from the usage and popularity of electric energy and new communication technologies, respectively. Additive manufacturing greatly changes the way of fabrication and enhances customization Those technologies have been increasingly applied to more and more areas, attracting more attention from industry, academia, and governments. In order to deal with environmental problems and conserve energy and natural resources, concept of sustainable manufacturing was proposed and has attracted substantial attention from governments, industry, and academia [21]. Sustainability is one of the essential goals of smart manufacturing, which is significant due to current environmental issues and consumption of natural resources. We summarize the current research gap and possible approaches to further promoting energy sustainability in smart factories

Description of Target Literature
The Definition and Characterization
Current Development and Policy
Smart Manufacturing
The Definition
The Role of Sustainability in Smart Manufacturing
The Hierarchy of Smart Manufacturing
Process Level
Factory Level
Smart Manufacturing in the Energy Industry
Deep Learning
Smart Grid and Smart Metering
Big Data Analytics and Data Mining
Cloud Computing and High-Performance Computing
Additive Manufacturing
Applications in Energy Industry
Sustainable Energy
Solar Energy
Wind Energy
Hydropower
Energy Devices Applications
Energy Production Devices
Energy Storage Devices
Smart Energy Systems
Modeling
Monitoring
Decision-Making
Findings
Prospective and Conclusion
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