A Hybrid Decision Model for Balancing the Technological Advancement, Human Intervention and Business Sustainability in Industry 5.0 Adoption

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dc.contributor.authorSindhwani R.
dc.contributor.authorMangla S.K.
dc.contributor.authorKazancoglu Y.
dc.contributor.authorMaden A.
dc.date.accessioned2024-03-13T10:00:53Z
dc.date.available2024-03-13T10:00:53Z
dc.date.issued2024
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description12th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2023 -- 26 May 2023 through 28 May 2023 -- -- 302369en_US
dc.description.abstractIn Industry 5.0, humans and machines work together, using advanced technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and automation to improve efficiency, productivity, and quality while also supporting sustainable practices and human values. There is a growing interest in learning about the challenges of Industry 5.0 and exploring these technologies to promote sustainability and responsible business practices. We need a hybrid decision model to strike a balance between technical progress, human values, and sustainable practices as we move toward Industry 5.0, which presents enormous challenges in the areas of technology, the environment, society and ethics, and business and economics. Through a literature analysis guided by the PRISMA technique and the Delphi method, the study highlighted challenges in the areas of technology, the environment, society and ethics, and business and economics, as well as solution measures to address them. The weightage of the challenges was determined using the Best Worst Method, and the ranking of the potential solutions was prioritized using the Elimination and Choice Expressing Reality method. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.en_US
dc.identifier.doi10.1007/978-981-99-6062-0_65
dc.identifier.endpage698en_US
dc.identifier.isbn9789819960613
dc.identifier.issn2195-4356
dc.identifier.scopus2-s2.0-85174598049en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage693en_US
dc.identifier.urihttps://doi.org/10.1007/978-981-99-6062-0_65
dc.identifier.urihttps://hdl.handle.net/20.500.12662/2826
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Mechanical Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectChallengesen_US
dc.subjectHuman Valuesen_US
dc.subjectIndustry 5.0en_US
dc.subjectSolution measureen_US
dc.subjectSustainable Practicesen_US
dc.subjectTechnological Advancementen_US
dc.titleA Hybrid Decision Model for Balancing the Technological Advancement, Human Intervention and Business Sustainability in Industry 5.0 Adoptionen_US
dc.typeConference Objecten_US

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