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Analysis of barriers to implement additive manufacturing technology in the Indian automotive sector
Analysis of barriers to implement additive manufacturing technology in the Indian automotive sector
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Analysis of barriers to implement additive manufacturing technology in the Indian automotive sector
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Analysis of barriers to implement additive manufacturing technology in the Indian automotive sector
Analysis of barriers to implement additive manufacturing technology in the Indian automotive sector
Journal Article

Analysis of barriers to implement additive manufacturing technology in the Indian automotive sector

2017
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Overview
Purpose A spurt in the usage of additive manufacturing (AM) is observed in industrial applications to produce final parts along with rapid prototyping and rapid tooling. Despite the potential benefits of on-demand and on-location production of customised or complex shape parts, widespread implementation of this disruptive production technology is not yet visible. The purpose of this paper is to examine the various barriers to implement AM in the Indian automotive sector and analyse interrelations among them. Design/methodology/approach Based on the extant literature and discussions with industry experts, ten major barriers are identified. The authors use a modified Fuzzy interpretive structural modelling (Fuzzy-ISM) method to derive strengths of relationships among these barriers, develop hierarchical levels, and thereafter group and rank these barriers. Findings ISM diagraph is developed to demonstrate how the barriers drive one another. Production technology capabilities and government support emerge as the most critical factors, with high driving power and medium dependence. Research limitations/implications While identified barriers may be similar across the automotive industry, generalisation of results for interrelationships and ranks in other industries may be limited. Practical implications The findings may be useful to managers to develop suitable mitigation strategies, and take more informed decisions, with individual focus, level focus or cluster focus. Social implications Findings clearly establish that the role of management and government is crucial in mitigating workers’ resistance to AM implementation. Originality/value This paper contributes to AM literature by the structured presentation of the barriers to implement AM in the Indian automotive sector. It also extends the Fuzzy-ISM method by presenting calculation of indirect relations using the appropriate max-product composition and in ranking the barriers.