“…These cause barriers influenced the net receivers, providing real-time visibility to all the concerned 3DPMM supply chain partners (McMillan et al , 2020; Damon et al , 2020). Design and customization experts (Choonara et al , 2016; Mobbs et al , 2017) and high-skilled data analysts (Cacciamani et al , 2019; Sahoo et al , 2020) can help the supply chain to overcome the problems of medical model accuracy (Tappa and Jammalamadaka, 2018; Asmaria et al , 2020). Our findings revealed that limited materials options (Liu et al , 2020; Alkhaibary et al , 2020), slow production speed (Pietrzak et al , 2015; Pavlov and Valkov, 2020), manual post-processing (Hirsch et al , 2020), high-skilled data analyst (Cacciamani et al , 2019; Sahoo et al , 2020) and simulation accuracy (Gibson et al , 2012; Tel et al , 2020) are the key driving factors for the 3DPMM supply chain, which find support from the literature.…”