A conceptual framework for risk classification and assessment for additive manufacturing supply chain
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With over half a billion dollars being added every year in additive manufacturing (AM), it is currently the biggest trend in the manufacturing industry. On the other hand, since the AM technologies are still evolving, they present a significant amount of risks and challenges to its supply chain. Although there is relatively abundant literature available on the impact of additive manufacturing on the supply chain, very little research exists on the risks that supply chain of additive manufacturing would possess. This paper first presents a conceptual framework of a fuzzy logic methodology to compute the supply chain risks in AM. Based on the literature review, the paper provides a comprehensive list of risks pertaining to additive manufacturing supply chain and their classification. Finally, we present a fuzzy-logic based framework to quantify the impact and likelihood of those risks. The methodology is illustrated by considering three risk drivers for each major risk category.
