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International Journal of AI for
            Materials and Design
                                                                                      AI-driven quality assurance in AM


            Acknowledgments                                    5.   Plathottam SJ, Rzonca A, Lakhnori R, Iloeje CO. A review
                                                                  of artificial intelligence applications in manufacturing
            We would like to express our sincere gratitude to all   operations. J Adv Manuf Process. 2023;5(3):e10159.
            individuals and organizations who contributed to the      doi: 10.1002/amp2.10159
            completion of this review article. We are thankful to
            the  participants and  volunteers  who participated in   6.   Sahoo SK, Goswami SS, Sarkar S, Mitra S. A  review of
            data collection and experimentation. Finally, we are   digital transformation and industry 4.0 in supply chain
            grateful to our families and friends for their unwavering   management for small and medium-sized enterprises. Spectr
            encouragement and understanding during this endeavor.  Eng Manag Sci. 2023;1(1):58-72.
                                                                  doi: 10.31181/sems1120237j
            Funding
                                                               7.   Elahi M, Afolaranmi SO, Lastra JL, Perez Garcia JA.
            None.                                                 A comprehensive literature review of the applications of AI
                                                                  techniques through the  lifecycle  of industrial  equipment.
            Conflict of interest                                  Discov Artif Intell. 2023;3(1):43.
            The authors declare that they have no competing interests.     doi: 10.1007/s44163-023-00089-x
                                                               8.   Sahoo SK, Goswami SS, Halder, R. Supplier selection in the
            Author contributions                                  age of industry 4.0: A review on MCDM applications and
            Conceptualization: Shankha Shubhra Goswami            trends. Decis Mak Adv. 2024;2(1):32-47.
            Writing – original draft: Surajit Mondal              doi: 10.31181/dma21202420
            Writing – review & editing: Shankha Shubhra Goswami
                                                               9.   Kim H, Lin Y, Tseng TL. A review on quality control in additive
            Ethics approval and consent to participate            manufacturing. Rapid Prototyp J. 2018;24(3):645-669.
                                                                  doi: 10.1108/RPJ-03-2017-0048
            Not applicable.
                                                               10.  Qin J, Hu F, Liu Y,  et al. Research and application of
            Consent for publication                               machine learning for additive manufacturing. Addit Manuf.
                                                                  2022;52:102691.
            Not applicable.
                                                                  doi: 10.1016/j.addma.2022.102691
            Availability of data                               11.  Bonatti AF, Vozzi G, De Maria C. Enhancing quality control
            Not applicable.                                       in  bioprinting  through  machine  learning.  Biofabrication.
                                                                  2024;16(2):022001.
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            Volume 1 Issue 2 (2024)                         38                             doi: 10.36922/ijamd.3455
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