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Systematic literature review on smart contracts in the construction industry: Potentials, benefits, and

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 196-213 doi: 10.1007/s42524-022-0188-2

Abstract: The development of digital transformation in the construction industry has led to the increasing adoptionof smart contracts.As programmable applications to automatically write, verify, and enforce transaction conditions, smartHowever, the smart contract is commonly mentioned as a blockchain appendage, while its unique connotationand value in the construction industry have not been recognized.

Keywords： smart contracts     blockchain     construction industry     BIM     systematic review    

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Data analytics and optimization for smart industry

Lixin TANG, Ying MENG

Frontiers of Engineering Management 2021, Volume 8, Issue 2,   Pages 157-171 doi: 10.1007/s42524-020-0126-0

Abstract: foundation and technological innovation of data analytics and optimization, as well as their application to smartThen, it identifies some data analytics and system optimization technologies to handle key issues in smartFinally, it provides a four-level framework for smart industry based on the theoretical and technological

Keywords： data analytics     system optimization     smart industry    

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Smart and Optimal Manufacturing for Process Industry

Chai Tianyou, Ding Jinliang

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 51-58 doi: 10.15302/J-SSCAE-2018.04.009

Abstract:

Based on the in-depth analysis of features of the process industry, the, i.e., smart and optimal manufacturing, is proposed.control system) and the control and management informatization system adopted by process enterprises, a smartMoreover, suggestions on the future development and deployment of smart and optimal manufacturing inthe process industry are offered, include emphasizing the strategic position of the process industry,

Keywords： process industry     smart and optimal manufacturing     development vision     scientific challenges    

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Big data and machine learning: A roadmap towards smart plants

Frontiers of Engineering Management   Pages 623-639 doi: 10.1007/s42524-022-0218-0

Abstract: Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems via the integrationEstablished technologies central to the digital integrating components are smart sensing, mobile communicationexploitation of large amounts of historical process data and large volumes of data generated in real-time by smartsensors widely used in industry.technologies, and b) to present a strategic plan for their integration toward the goal of an autonomous smart

Keywords： big data     machine learning     artificial intelligence     smart sensor     cyber–physical system     Industry 4.0    

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

Feng Qian,Weimin Zhong,Wenli Du

Engineering 2017, Volume 3, Issue 2,   Pages 154-160 doi: 10.1016/J.ENG.2017.02.011

Abstract: To promote a vision of the process industry with efficient, green, and smart production, modern informationTo focus on smart equipment in manufacturing processes, as well as on the adaptive intelligent optimizationlimitations and core scientific problems, we further present fundamental theories and key technologies for smartand optimal manufacturing in the process industry.to the process industry around the world.

Keywords： Process industry     Smart and optimal manufacturing     Green manufacturing     High-end manufacturing     Optimality    

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Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

Pai ZHENG, Honghui WANG, Zhiqian SANG, Ray Y. ZHONG, Yongkui LIU, Chao LIU, Khamdi MUBAROK, Shiqiang YU, Xun XU

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 137-150 doi: 10.1007/s11465-018-0499-5

Abstract: To advance research on the implementation of Industry 4.0, this study examines smart manufacturing systemsfor Industry 4.0.First, a conceptual framework of smart manufacturing systems for Industry 4.0 is presented.Second, demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoringKey technologies and their possible applications to Industry 4.0 smart manufacturing systems are reviewed

Keywords： Industry 4.0     smart manufacturing systems     Internet of Things     cyber-physical systems     big data analytics    

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Smart Manufacturing for the Oil Refining and Petrochemical Industry

Zhihong Yuan,Weizhong Qin,Jinsong Zhao

Engineering 2017, Volume 3, Issue 2,   Pages 179-182 doi: 10.1016/J.ENG.2017.02.012

Abstract:

Smart manufacturing will transform the oil refining and petrochemical sector into a connected, information-drivenUsing real-time and high-value support systems, smart manufacturing enables a coordinated and performance-orientedIn this paper, several examples of the application of so-called “smart manufacturing” forKey scientific factors and challenges for the further smart manufacturing of chemical and petrochemical

Keywords： Smart manufacturing     Petrochemical     Data-/information-driven environment    

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Smart and Optimal Manufacturing: The Key for the Transformation and Development of the Process Industry

Feng Qian

Engineering 2017, Volume 3, Issue 2,   Pages 151-151 doi: 10.1016/J.ENG.2017.02.016

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Theoretical research and application of petrochemical Cyber-physical Systems

Jiming WANG

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 242-255 doi: 10.15302/J-FEM-2017053

Abstract: A petrochemical smart factory is a green, efficient, safe and sustainable modern factory that combinesA Cyber-physical System (CPS) is the infrastructure of a petrochemical smart factory.Based on the future challenges of the petrochemical industry, this paper proposes the definition, connotation, the paper provides theoretical support and implementation reference of a CPS in the petrochemical industry

Keywords： Cyber-physical System (CPS)     petrochemical industry     smart factory    

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Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 202-213 doi: 10.15302/J-FEM-2017024

Abstract: relationship between refinery production scheduling (RPS) and the cyber-physical production environment with smartdiscuss state-of-the-art RSPs in the crude-oil refining field and present examples that illustrate how smartscheduling can impact operations in the high-performing chemical process industry.

Keywords： cyber-physical systems     optimization     petrochemical industry     scheduling     smart manufacturing    

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Opportunities and Challenges of Artificial Intelligence for Green Manufacturing in the Process Industry

Shuai Mao, Bing Wang, Yang Tang, Feng Qian

Engineering 2019, Volume 5, Issue 6,   Pages 995-1002 doi: 10.1016/j.eng.2019.08.013

Abstract:

Smart  manufacturing is critical in improving the quality of the process industry.In smart manufacturing, there is a trend to incorporate different kinds of new-generation informationBased on state-of-the-art AI methods and the complex safety relations in the process industry, we identify

Keywords： Process industry     Smart manufacturing     Green manufacturing     Artificial intelligence    

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Smart Manufacturing and Intelligent Manufacturing: A Comparative Review Review

Baicun Wang, Fei Tao, Xudong Fang, Chao Liu, Yufei Liu, Theodor Freiheit

Engineering 2021, Volume 7, Issue 6,   Pages 738-757 doi: 10.1016/j.eng.2020.07.017

Abstract: However, different terminologies, namely smart manufacturing (SM) and intelligent manufacturing (IM),is provided, which is increasingly important because the trend to merge both terminologies rises in Industry

Keywords： Smart manufacturing     Intelligent manufacturing     Industry 4.0     Human–cyber–physical system (HCPS)    

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Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Appliedto Smart Maintenance Article

Ruben Foresti, Stefano Rossi, Matteo Magnani, Corrado Guarino Lo Bianco, Nicola Delmonte

Engineering 2020, Volume 6, Issue 7,   Pages 835-846 doi: 10.1016/j.eng.2019.11.014

Abstract:

The implementation of artificial intelligence (AI) in a smart society, in which the analysis of humanhabits is mandatory, requires automated data scheduling and analysis using smart applications, a smartinfrastructure, smart systems, and a smart network.presented in this work aims to reduce this gap with near-zero-failure advanced diagnostics (AD) for smartsystems in order to optimize human–machine interactions, with the related smart maintenance and

Keywords： Smart maintenance     Smart society     Artificial intelligence     Human-centered management system     Big datascheduling     Global standard method     Society 5.0     Industry 4.0    

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Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Article

Fei Tao, Qinglin Qi, Lihui Wang, A.Y.C. Nee

Engineering 2019, Volume 5, Issue 4,   Pages 653-661 doi: 10.1016/j.eng.2019.01.014

Abstract: big data analytics (BDA), and artificial intelligence (AI) have greatly stimulated the development of smartAn important prerequisite for smart manufacturing is cyber–physical integration, which is increasingly(CPS) and digital twins (DTs) have gained extensive attention from researchers and practitioners in industry

Keywords： Cyber–physical systems (CPS)     Digital twin (DT)     Smart manufacturing     Correlation and comparison    

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A discussion of objective function representation methods in global optimization

Panos M. PARDALOS, Mahdi FATHI

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 515-523 doi: 10.15302/J-FEM-2018044

Abstract:

Non-convex optimization can be found in several smart manufacturing systems.representation in integrated artificial intelligence, optimization, and decision support systems in smartmanufacturing and Industry 4.0.

Keywords： decomposition techniques     multi-objective     DC programming     Kolmogorov’s superposition     space-filling curve     smartmanufacturing and Industry 4.0    

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Title Author Date Type Operation

Systematic literature review on smart contracts in the construction industry: Potentials, benefits, and

Journal Article

Data analytics and optimization for smart industry

Lixin TANG, Ying MENG

Journal Article

Smart and Optimal Manufacturing for Process Industry

Chai Tianyou, Ding Jinliang

Journal Article

Big data and machine learning: A roadmap towards smart plants

Journal Article

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

Feng Qian,Weimin Zhong,Wenli Du

Journal Article

Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

Pai ZHENG, Honghui WANG, Zhiqian SANG, Ray Y. ZHONG, Yongkui LIU, Chao LIU, Khamdi MUBAROK, Shiqiang YU, Xun XU

Journal Article

Smart Manufacturing for the Oil Refining and Petrochemical Industry

Zhihong Yuan,Weizhong Qin,Jinsong Zhao

Journal Article

Smart and Optimal Manufacturing: The Key for the Transformation and Development of the Process Industry

Feng Qian

Journal Article

Theoretical research and application of petrochemical Cyber-physical Systems

Jiming WANG

Journal Article

Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

Journal Article

Opportunities and Challenges of Artificial Intelligence for Green Manufacturing in the Process Industry

Shuai Mao, Bing Wang, Yang Tang, Feng Qian

Journal Article

Smart Manufacturing and Intelligent Manufacturing: A Comparative Review

Baicun Wang, Fei Tao, Xudong Fang, Chao Liu, Yufei Liu, Theodor Freiheit

Journal Article

Smart Society and Artificial Intelligence: Big Data Scheduling and the Global Standard Method Appliedto Smart Maintenance

Ruben Foresti, Stefano Rossi, Matteo Magnani, Corrado Guarino Lo Bianco, Nicola Delmonte

Journal Article

Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and

Fei Tao, Qinglin Qi, Lihui Wang, A.Y.C. Nee

Journal Article

A discussion of objective function representation methods in global optimization

Panos M. PARDALOS, Mahdi FATHI

Journal Article