The findings show that artificial intelligence is especially well-suited to enhancing manufacturing resilience.
Asmae El Jaouhari, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fes, Morocco.
Jabir Arif, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fes, Morocco.
Ashutosh Samadhiya, Assistant Professor, Jindal Global Business School, O.P. Jindal Global University Sonipat, Haryana, India
Anil Kumar, Guildhall School of Business and Law, London Metropolitan University, London, UK.
Vranda Jain, Jaipuria Institute of Management – Noida Campus, Noida, India.
Rohit Agrawal, Indian Institute of Management Bodh Gaya, Bodh Gaya, India.
The purpose of this paper is to investigate, from a thorough review of the literature, the role of metaverse-based quality 4.0 (MV-based Q4.0) in achieving manufacturing resilience (MFGRES). Based on a categorization of MV-based Q4.0 enabler technologies and MFGRES antecedents, the paper provides a conceptual framework depicting the relationship between both areas while exploring existing knowledge in current literature.
The paper is structured as a comprehensive systematic literature review (SLR) at the intersection of MV-based Q4.0 and MFGRES fields. From the Scopus database up to 2023, a final sample of 182 papers is selected based on the inclusion/exclusion criteria that shape the knowledge base of the research.
In light of the classification of reviewed papers, the findings show that artificial intelligence is especially well-suited to enhancing MFGRES. Transparency and flexibility are the resilience enablers that gain most from the implementation of MV-based Q4.0. Through analysis and synthesis of the literature, the study reveals the lack of an integrated approach combining both MV-based Q4.0 and MFGRES. This is particularly clear during disruptions.
This study has a significant impact on managers and businesses. It also advances knowledge of the importance of MV-based Q4.0 in achieving MFGRES and gaining its full rewards.
This paper makes significant recommendations for academics, particularly those who are interested in the metaverse concept within MFGRES. The study also helps managers by illuminating a key area to concentrate on for the improvement of MFGRES within their organizations. In light of this, future research directions are suggested.
Published in: The TQM Journal
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