Security and safety assurance of collaborative manufacturing in industry 4.0

Bi, Zhuming; Chen, Bin; Xu, Lida; Wu, Congxin; Malott, C.; Chamberlin, Margaret; Enterline, T.

doi:10.1080/17517575.2021.2008512

“…(5) supporting the seamless coordination, collaboration, and cooperation of stakeholders; (6) orchestrating manufacturing resources across enterprise bounds to seize novel opportunities; (7) providing generic architecture applicable to different products, functions, and regions [1,[18][19][20].…”

Section: Applicationsmentioning

confidence: 99%

Smart Manufacturing—Theories, Methods, and Applications

Bi

¹

,

Xu

²

,

Ouyang

³

2022

Self Cite

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“…

With continuous growth in the complexity, scale, and dynamics of space systems, information integration (II) becomes an essential strategy for managing system complexity and tackling dynamic changes and uncertainties in space missions [1], [2], [3]. Space II (SII) is in high demaind so as to meet the system requirements of latency, heterogeneity, communication, networking, security, and resilience.

…”

mentioning

confidence: 99%

Special Issue on Industrial Information Integration in Space Applications

Ip

¹

,

Bi

²

,

Tavana

³

et al. 2022

IEEE Trans. Aerosp. Electron. Syst.

5

0

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With continuous growth in the complexity, scale, and dynamics of space systems, information integration (II) becomes an essential strategy for managing system complexity and tackling dynamic changes and uncertainties in space missions [1], [2], [3]. Space II (SII) is in high demaind so as to meet the system requirements of latency, heterogeneity, communication, networking, security, and resilience. The study of SII has attracted much attention from scientists and engineers across all engineering domains. We proposed this special section (SS) to solicit, identify, and disseminate new contributions to the theories, methodologies, tools, and case studies of SII that are developed to address some unique challenges of space systems such as security, safety, reliability, and resilience and help T-AES readers gain a basic understanding of the cutting-edge space technologies and the directions of future advancement of SII. The editorial team has received 33 high-quality submissions from around the world, and a total of 21 manuscripts were ultimately accepted through a rigorous peer-reviewing process.

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Integration of AHP and fuzzy inference systems for empowering transformative journeys in organizations: Assessing the implementation of Industry 4.0 in SMEs

Fernández,

Puente,

Ponte

et al. 2024

Appl Intell

0

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The combined use of the Analytical Hierarchy Process (AHP) and Fuzzy Inference Systems (FISs) can significantly enhance the effectiveness of transformative projects in organizations by better managing their complexities and uncertainties. This work develops a novel multicriteria model that integrates both methodologies to assist organizations in these projects. To demonstrate the value of the proposed approach, we present an illustrative example focused on the implementation of Industry 4.0 in SMEs. First, through a review of relevant literature, we identify the key barriers to improving SMEs' capability to implement Industry 4.0 effectively. Subsequently, the AHP, enhanced through Dong and Saaty’s methodology, establishes a consensus-based assessment of the importance of these barriers, using the judgments of five experts. Next, a FIS is utilized, with rule bases automatically derived from the preceding weights, eliminating the need for another round of expert input. This paper shows and discusses how SMEs can use this model to self-assess their adaptability to the Industry 4.0 landscape and formulate improvement strategies to achieve deeper alignment with this transformative paradigm.

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Security and safety assurance of collaborative manufacturing in industry 4.0

Cited by 14 publications

References 110 publications

Smart Manufacturing—Theories, Methods, and Applications

Smart Manufacturing—Theories, Methods, and Applications

Special Issue on Industrial Information Integration in Space Applications

Integration of AHP and fuzzy inference systems for empowering transformative journeys in organizations: Assessing the implementation of Industry 4.0 in SMEs

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