Works matching IS 02545330 AND DT 2024 AND VI 342 AND IP 2
Results: 9
Digital operations research models for intelligent machines (industry 4.0) and man-machine (industry 5.0) systems.
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- Annals of Operations Research, 2024, v. 342, n. 2, p. 1041, doi. 10.1007/s10479-024-06366-x
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Requirement-driven supplier selection: a multi-criteria QFD-based approach under epistemic and stochastic uncertainties.
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- Annals of Operations Research, 2024, v. 342, n. 2, p. 1079, doi. 10.1007/s10479-024-06131-0
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Modelling risks in transition from Industry 4.0 to Industry 5.0.
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- Annals of Operations Research, 2024, v. 342, n. 2, p. 1275, doi. 10.1007/s10479-024-06055-9
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Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing.
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- Annals of Operations Research, 2024, v. 342, n. 2, p. 1321, doi. 10.1007/s10479-024-05845-5
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Supply chain resilience in the context of I4.0 and I5.0 from a multilayer network ripple effect perspective.
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- Annals of Operations Research, 2024, v. 342, n. 2, p. 1149, doi. 10.1007/s10479-023-05618-6
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Bitcoin network-based anonymity and privacy model for metaverse implementation in Industry 5.0 using linear Diophantine fuzzy sets.
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- Annals of Operations Research, 2024, v. 342, n. 2, p. 1193, doi. 10.1007/s10479-023-05421-3
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An integrated interval-valued Pythagorean fuzzy WISP approach for industry 4.0 technology assessment and digital transformation.
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- Annals of Operations Research, 2024, v. 342, n. 2, p. 1235, doi. 10.1007/s10479-023-05355-w
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Evaluating efficiency of cloud service providers in era of digital technologies.
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- Annals of Operations Research, 2024, v. 342, n. 2, p. 1049, doi. 10.1007/s10479-023-05257-x
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Can government policies help to achieve the pollutant emissions information disclosure target in the Industry 4.0 era?
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- Annals of Operations Research, 2024, v. 342, n. 2, p. 1129, doi. 10.1007/s10479-022-04712-5
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- Article