RETRACTED ARTICLE: Multi-criteria-based approach for job scheduling in industry 4.0 in smart cities using fuzzy logic

Kumar, Priyan Malarvizhi; Babu, Gokulnath Chandra; Selvaraj, Anandamurugan; Raza, Mohsin; Luhach, Ashish Kr.; Díaz, Vicente García

doi:10.1007/s00500-021-05765-7

Cited by 15 publications

(7 citation statements)

References 23 publications

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“…Chinese industry has experienced a significant reorganization since reform and opening up in 1979, with basic, intermediate, and tertiary industries accounting for 8%, 42%, and 54% of GDP in 2019 correspondingly (Garmaroodi et al 2020 ). In academia, several studies have studied the link between industry resources and social growth or urbanization and income growth (Mehta et al 2021 ; Kumar et al 2021 ). According to scholars, the Industrial Revolution has exacerbated China’s regional disparities since 1998 (Manogaran et al 2020c ; Orjuela et al 2021 ).…”

Section: Introduction To the Industrial Structure Upgradingmentioning

confidence: 99%

RETRACTED ARTICLE: Analysis of modern circulation industry development level using industrial structure mechanism

Ali¹,

Jaber

Khalil

et al. 2023

J Comb Optim

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This study focuses on China’s industrial transformation and urban income inequality. It is shown that between 2011 and 2020, improvements in China’s industrial structure have a significant positive influence on lowering income gaps between urban and rural areas when used in conjunction with the empirical research approach. The mechanical study shows that the urban population impacts this causation. Rural-to-urban economic gaps have been reduced through modernisation in different parts of the country. The result remains the same even if the urban–rural consumption gap is used as a proxy for income discrepancy. The mechanism for the industrial structure upgrading model (MISUM) is proposed in this article for the modern circulation industry. Key contributions include: (1) environmental rules in these components have no impact on each other, but the updating of industrial buildings indicates a substantial location-specific dependence; (2) environmental standards have impacts on industrial structures throughout provinces; and (3) environmental standards have a long-term qualifying impact on the industrial structures. This essay focuses on combining environmental regulation with industrial expansion in different regions. In this study, government environmental requirements for industrial structural improvements are shown to be in operation. The test results show the MISUM has been described with high accuracy of 94.2%, carbon emission level of 18%, soil emission level of 11% and efficiency ratio of 97.8% compared to other methods.

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Section: Introduction To the Industrial Structure Upgradingmentioning

confidence: 99%

RETRACTED ARTICLE: Analysis of modern circulation industry development level using industrial structure mechanism

Ali¹,

Jaber

Khalil

et al. 2023

J Comb Optim

View full text Add to dashboard Cite

show abstract

“…Realtime status tracking of the order system and machine processing system is achieved through an internet-supported sensor network in a smart factory, which is then used by the AI scheduler to efficiently schedule production schedules. In [72], the scheduling of systems that consider various variables such as processing time, priority, and transportation time is more accurately and efficiently calculated using Fuzzy Inference System, an AI technique based on fuzzy logic.…”

Section: ) Parameter Optimizationmentioning

confidence: 99%

“…Gimbal joint controller [68] 3D-printing [69], [70] ANN [68], [69] GA [68] GB [70] RF [69] Control systems [68]- [70] Stability [68] Productivity [69], [70] Production Scheduling Flexible manufacturing system [71]- [74] Q-learning [71] Fuzzy Logic [72] GA [73] KNN [73] DDQN [74] Control systems [71]- [74] Productivity [71]- [73] Stability [73], [74] Data-driven Control Distillation column system [75] pH control system [76] Power system [77] AC [76] ANN [77] GA [75] RNN [75] Control systems [75]- [77] Productivity [75] Stability [75] Sustainability [76], [77] Task & Resource Allocation…”

Section: Parameter Optimizationmentioning

confidence: 99%

A Survey and Perspective on Industrial Cyber-Physical Systems (ICPS): From ICPS to AI-Augmented ICPS

Chae,

Lee,

Jang

et al. 2023

Trans. Ind. Cyb-Phy. Sys.

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Digital Transformation integrates information technology across a broad spectrum of industrial sectors. Industrial Cyber-Physical Systems (ICPS) play a vital role in this transformation by harmonizing machinery, production, logistics, and societal needs through innovative information technologies. This paper investigates the adoption of industrial artificial intelligence (industrial AI) as a methodology for effective ICPS design, introducing AI-Augmented ICPS (AICPS). The study conducts a survey, focusing on the components and interactions of AICPS. We propose design considerations for the implementation of AICPS and investigate the application of cutting-edge industrial AI techniques in each interaction. From the standpoint of AI augmentation, this paper offers insights by identifying key perspectives, including uncertainty of information, safety of AI, explainability of AI, human-societal interactive ICPS, and standardization of industrial AI. This paper aims to enhance understanding of AICPS and lay the groundwork for integrating independent industrial AI techniques into ICPS.

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“…Literature review. For multicriteria scheduling, we refer the reader to the surveys [8,13,7], and to the recent results [9,5,11,2,6]. Here we only mention the results closely related to uniform machine scheduling.…”

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confidence: 99%

Faster algorithms for bicriteria scheduling of identical jobs on uniform machines

Shen

Liang

2023

JIMO

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<p style='text-indent:20px;'>This paper studies the problem of scheduling <inline-formula><tex-math id="M1">\begin{document}$ n $\end{document}</tex-math></inline-formula> jobs with equal processing times on <inline-formula><tex-math id="M2">\begin{document}$ m $\end{document}</tex-math></inline-formula> uniform machines to optimize two criteria simultaneously. The main contribution is an <inline-formula><tex-math id="M3">\begin{document}$ O(n\log m+n^3) $\end{document}</tex-math></inline-formula>-time algorithm for two general min-max criteria, improving the previous <inline-formula><tex-math id="M4">\begin{document}$ O(n\log m+n^4) $\end{document}</tex-math></inline-formula> time complexity. For a particular min-sum criterion (total weighted completion time or total tardiness) in combination with a general min-max criterion, <inline-formula><tex-math id="M5">\begin{document}$ O(n\log m+n^3) $\end{document}</tex-math></inline-formula>-time algorithms are also obtained, improving the previous <inline-formula><tex-math id="M6">\begin{document}$ O(n\log m+n^3\log n) $\end{document}</tex-math></inline-formula> time complexity. The algorithms can produce all Pareto optimal points together with the corresponding schedules.</p>

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RETRACTED ARTICLE: Multi-criteria-based approach for job scheduling in industry 4.0 in smart cities using fuzzy logic

Cited by 15 publications

References 23 publications

RETRACTED ARTICLE: Analysis of modern circulation industry development level using industrial structure mechanism

RETRACTED ARTICLE: Analysis of modern circulation industry development level using industrial structure mechanism

A Survey and Perspective on Industrial Cyber-Physical Systems (ICPS): From ICPS to AI-Augmented ICPS

Faster algorithms for bicriteria scheduling of identical jobs on uniform machines

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