Holonic Reengineering to Foster Sustainable Cyber-Physical Systems Design in Cognitive Manufacturing

Martín-Gómez, Alejandro Manuel; Ávila-Gutiérrez, María Jesús; Aguayo-González, Francisco

doi:10.3390/app11072941

Cited by 14 publications

(4 citation statements)

References 130 publications

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“…Jiao et al (2021) pointed out that digital development plays an important role in promoting the realization of Industry 4.0 [36]. Martin-Gomez et al (2021) proposed that digitization and informatization are important factors for realizing the intelligent, connected and sustainable development of manufacturing industry [37]. Yin et al (2022) and Garcia et al (2022) agree with this statement [9,38].…”

Section: Literature Review and Mechanism Construction 21 Literature R...mentioning

confidence: 98%

Digital Economy and Intelligent Manufacturing Coupling Coordination: Evidence from China

Zhang,

Meng

2023

Systems

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The digital economy uses its own digital information advantages to reduce the intensity of energy consumption brought by economic growth. Intelligent manufacturing achieves cost reduction and efficiency through the integration of manufacturing and intelligence as well as digitalization and information technology. The two have become a new engine for sustainable economic development at present, and they can promote and influence each other. However, there is a lack of research on the relationship between them. In this regard, this study aims to build a coupling coordination model of digital economy and intelligent manufacturing and to make an empirical analysis using the data of Chinese provincial administrative regions in order to provide a theoretical reference for promoting sustainable economic development. The research finds that (1) the digital economy and intelligent manufacturing are mainly cross-coupled from four aspects: infrastructure, technological innovation, product optimization and organizational change. The development level and speed of the former are significantly higher than those of the latter, and the gap does not decrease with time. The two have a strong correlation, but there is no high-quality coupling coordination. (2) The main obstacle factors to the digital economy lie in the imperfect supporting facilities, the short board of technological innovation and the lack of technological application capacity. Intelligent manufacturing lacks intelligent application and technological innovation. (3) Influencing factors such as opening to the outside world, economic development, high-level talent input, industrial structure and innovation emphasis have different effects on their coupling and coordinated development in different regions. (4) The spatial correlation test shows that the coupling coordination degree of each region is spatially positively correlated. This research helps to promote the coupling and coordinated development of the digital economy and intelligent manufacturing.

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Section: Literature Review and Mechanism Construction 21 Literature R...mentioning

confidence: 98%

Digital Economy and Intelligent Manufacturing Coupling Coordination: Evidence from China

Zhang,

Meng

2023

Systems

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“…Regarding their contribution to future industrial challenges, they have identified, studied, and classified reference HCA developed from 1998 to 2020 [1,2,5,6,7,8,9,10,11,24,25,26,27]. To these, we added some more recent works, posteriors to the reviews: the REDCA and EMH 2 architectures [28,29] and the holonic reengineering for CPS [30] propositions. From this first sample, 3 clear observations could be made:…”

Section: Hms and Hca: What Place For Humans?mentioning

confidence: 99%

Formal and modelling frameworks for Social Holonic Control Architectures

Valette

Demesure

El-Haouzi

et al. 2021

Computers in Industry

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For decades now, manufacturing systems have grown in size and complexity. Between new consumption habits and hypercompetitive markets, manufacturing systems have started a race towards the industry of the future. Still, many technological and societal issues are paving their way: connectivity, resilience and human integration being among the most critical ones. The idea of this paper is to bring a new framework to help answering these issues by bringing resilience to systems, improving their interoperability, enhancing Data acquisition, transmission & processing, enabling the establishment hierarchical levels among agents, or by facilitating the system acceptance by human agents and the human integration within the system. To this end, this article brings a new formal framework for Social Holonic Control Architectures, based on an analysis of the existing literature. An UML-based modelling framework will equally be proposed to ease understanding and implementation of this new Social Holonic Control Architecture, illustrated by a concrete application on a small-scale Multi-Agent System.

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“…Further, in advocating for the CE through renewable energy sources, the systems approach is extremely helpful on the issue of food security with the use of food crops for energy (e.g., corn for ethanol vs. corn for food and feed). However, holonic systems towards a digitally-enabled transition to the CE is an exciting innovation to look forward to, as discussed in the works of Ávila-Gutiérrez et al [61] and Martín-Gómez et al [62]. Such systems are among the numerous opportunities to innovate with the existing CE systems to pursue closing the loops more effectively.…”

Section: Systems Thinking Challenges and Ways Forwardmentioning

confidence: 99%

A Review of Reductionist versus Systems Perspectives towards ‘Doing the Right Strategies Right’ for Circular Economy Implementation

Balanay

Halog

2021

Systems

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This systematic review examines the importance of a systems/holistic approach in analyzing and addressing the footprints/impacts of business-as-usual activities regarding the development of a circular economy (CE). Recent works on why current CE approaches have to be examined in terms of reductionist vs. systems perspectives are reviewed to tackle questions pertaining to the right or the wrong way of CE implementation. ‘Doing the right thing right’ is essential for sustainability—the ultimate goal of a CE, which must be viewed as a system to begin with. The limited reductionist approach overlooks and thus cannot prognosticate on the formidable unintended consequences that emerge from ‘doing the right things wrong’, consequences that become too costly to undo. The systems approach, being holistic, is complicated and difficult to pursue but open to exciting opportunities to integrate innovations in CE analysis and implementation. Complexity is an inherent downside of the systems approach. However, both approaches are complementary, as reductionist models can be combined to create a system of comprehensive analysis to correct the approach towards implementation of current CE initiatives. This review reports that advancements in systems analytical frameworks and tools are highly important for creating general guidelines on CE analysis and implementation.

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Holonic Reengineering to Foster Sustainable Cyber-Physical Systems Design in Cognitive Manufacturing

Cited by 14 publications

References 130 publications

Digital Economy and Intelligent Manufacturing Coupling Coordination: Evidence from China

Digital Economy and Intelligent Manufacturing Coupling Coordination: Evidence from China

Formal and modelling frameworks for Social Holonic Control Architectures

A Review of Reductionist versus Systems Perspectives towards ‘Doing the Right Strategies Right’ for Circular Economy Implementation

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