Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry

Feng Qian, Weimin Zhong, Wenli Du

Engineering ›› 2017, Vol. 3 ›› Issue (2) : 154-160.

PDF(1352 KB)
PDF(1352 KB)
Engineering ›› 2017, Vol. 3 ›› Issue (2) : 154-160. DOI: 10.1016/J.ENG.2017.02.011
Research
Research

Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry

Author information +
History +

Abstract

Given the significant requirements for transforming and promoting the process industry, we present the major limitations of current petrochemical enterprises, including limitations in decision-making, production operation, efficiency and security, information integration, and so forth. To promote a vision of the process industry with efficient, green, and smart production, modern information technology should be utilized throughout the entire optimization process for production, management, and marketing. To focus on smart equipment in manufacturing processes, as well as on the adaptive intelligent optimization of the manufacturing process, operating mode, and supply chain management, we put forward several key scientific problems in engineering in a demand-driven and application-oriented manner, namely: ① intelligent sensing and integration of all process information, including production and management information; ② collaborative decision-making in the supply chain, industry chain, and value chain, driven by knowledge; ③ cooperative control and optimization of plant-wide production processes via human-cyber-physical interaction; and ④life-cycle assessments for safety and environmental footprint monitoring, in addition to tracing analysis and risk control. In order to solve these limitations and core scientific problems, we further present fundamental theories and key technologies for smart and optimal manufacturing in the process industry. Although this paper discusses the process industry in China, the conclusions in this paper can be extended to the process industry around the world.

Keywords

Process industry / Smart and optimal manufacturing / Green manufacturing / High-end manufacturing / Optimality assessment

Cite this article

Download citation ▾
Feng Qian, Weimin Zhong, Wenli Du. Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry. Engineering, 2017, 3(2): 154‒160 https://doi.org/10.1016/J.ENG.2017.02.011

References

[1]
Williams E. Environmental effects of information and communications technologies. Nature 2011;479(7373):354–8.
CrossRef Pubmed Google scholar
[2]
Smart Manufacturing Leadership Coalition. Implementing 21st century smart manufacturing [Internet]. Washington, DC: Smart Manufacturing Leadership Coalition. 2011 Jun 24 [cited 2016 Oct 15]. Available from: https://smartmanufacturingcoalition.org/sites/default/files/implementing_21st_century_smart_manufacturing_report_2011_0.pdf.
[3]
Federal Ministry of Education and Research (Germany). The CAE Centre for Strategic Studies, trans. Grasp the future of German manufacturing industry: Recommendations for implementing the strategic initiative “Industry 4.0”. Final report. Bonn: Federal Ministry of Education and Research (Germany); 2013 Sep. Chinese.
[4]
State Council of the People’s Republic of China. Made in China 2025 strategy [Internet]. Beijing: State Council of the People’s Republic of China. 2015 May 8 [cited 2016 Oct 15]. Available from: http://www.gov.cn/zhengce/content/2015-05/19/content_9784.htm. Chinese.
[5]
Li K. Report on the work of the government in 2016 [Internet]. Beijing: State Council of the People’s Republic of China. 2016 Mar 5 [cited 2016 Oct 15]. Available from: http://www.gov.cn/guowuyuan/2016-03/05/content_5049372.htm. Chinese.
[6]
Sendler U (Germany). Deng M, Li X, trans. Industry 4.0: The forthcoming Fourth Industrial Revolution. Beijing: China Machine Press; 2014 Jul. Chinese.
[7]
Chai T. Industrial process control systems: Research status and development direction. Sci Sinica Inf 2016;46(8):1003–15. Chinese.
[8]
Cassandras CG. Smart cities as cyber-physical social systems. Engineering 2016;2(2):156–8.
CrossRef Google scholar
[9]
Rajkumar R. A cyber-physical future. P IEEE 2012;100(Special Centennial Issue):1309–12.
[10]
Sztipanovits J, Koutsoukos X, Karsai G, Kottenstette N, Antsaklis P, Gupta V, et al.Toward a science of cyber-physical system integration. P IEEE 2012;100(1):29–44.
CrossRef Google scholar
[11]
O’Rourke D. The science of sustainable supply chains. Science 2014;344(6188):1124–7.
CrossRef Pubmed Google scholar
[12]
Dooley KJ. The whole chain. Science 2014;344(6188):1108.
CrossRef Pubmed Google scholar
[13]
Hellweg S, Milà i Canals L. Emerging approaches, challenges and opportunities in life cycle assessment. Science 2014;344(6188):1109–13.
CrossRef Pubmed Google scholar
[14]
Hoekstra AY, Wiedmann TO. Humanity’s unsustainable environmental footprint. Science 2014;344(6188):1114–7.
CrossRef Pubmed Google scholar
[15]
Tang Y, Qian F, Gao H, Kurths J. Synchronization in complex networks and its application—A survey of recent advances and challenges. Annu Rev Contr 2014;38(2):184–98.
CrossRef Google scholar
[16]
Cernansky R. Chemistry: Green refill. Nature 2015;519(7543):379–80.
CrossRef Pubmed Google scholar
[17]
Wallace JM, Held IM, Thompson DWJ, Trenberth KE, Walsh JE. Global warming and winter weather. Science 2014;343(6172):729–30.
CrossRef Pubmed Google scholar
[18]
Marx V. Biology: The big challenges of big data. Nature 2013;498(7453):255–60.
CrossRef Pubmed Google scholar
[19]
Bergamaschi S, Carlini E, Ceci M, Furletti B, Giannotti F, Malerba D, et al.Big data research in Italy: A perspective. Engineering 2016;2(2):163–70.
CrossRef Google scholar

Acknowledgements

This research was supported by the National Natural Science Foundation of China (61333010, 61590923, 61422303). Some ideas in this research originated from the discussions in the No.157 “Shuangqing” Forum hold by the National Natural Science Foundation of China. The authors express the sincere thanks to the National Natural Science Foundation of China and the experts in the Forum.

Compliance with ethics guidelines

Feng Qian, Weimin Zhong, and Wenli Du declare that they have no conflict of interest or financial conflicts to disclose.
Funding
 

RIGHTS & PERMISSIONS

2017 2017 THE AUTHORS. Published by Elsevier LTD on behalf of the Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
AI Summary AI Mindmap
PDF(1352 KB)

Accesses

Citations

Detail

Sections
Recommended

/