The purpose of this paper is to identify various factors influencing additive manufacturing (AM) implementation from operational performance in the Indian manufacturing sector and to establish the hierarchical relationship among them.,The methodology includes three phases, namely, identification of factors through systematic literature review (SLR), interviews with experts to capture industry perspective of AM implementation factors and to develop the hierarchical model and classify it by deriving the interrelationship between the factors using interpretive structural modeling (ISM), followed with the fuzzy Matrice d’Impacts Croises Multiplication Appliques a un Classement (MICMAC) analysis.,This research has identified 14 key factors that influence the successful AM implementation in the Indian manufacturing sector. Based on the analysis, top management commitment is an essential factor with high driving power, which exaggerates other factors. Factors, namely, manufacturing flexibility, operational excellence and firm competitiveness are placed at the top level of the model, which indicates that they have less driving power and organizations need to focus on those factors after implementing the bottom-level factors.,Additional factors may be considered, which are important for AM implementation from different industry contexts. The variations from different industry contexts and geographical locations can foster the theoretical robustness of the model.,The proposed ISM model sets the directions for business managers in planning the operational strategies for addressing AM implementation issues in the Indian manufacturing sector. Also, competitive strategies may be framed by organizations based on the driving and dependence power of AM implementation factors.,This paper contributes by identification of AM implementation factors based on in-depth literature review as per SLR methodology and validation of these factors from a variety of industries and developing hierarchical model by integrative ISM-MICMAC approach.

中文翻译：

---

使用集成的 ISM-MICMAC 方法研究增材制造实施因素

本文的目的是从印度制造业的运营绩效中识别影响增材制造 (AM) 实施的各种因素，并建立它们之间的层次关系。该方法包括三个阶段，即通过系统文献回顾识别因素(SLR)，采访专家以捕捉 AM 实施因素的行业观点，并通过使用解释性结构模型 (ISM) 推导出因素之间的相互关系来开发分层模型并对其进行分类，然后是模糊矩阵 d'Impacts Croises Multiplication Appliques一项联合国分类 (MICMAC) 分析。本研究确定了影响印度制造业成功实施 AM 的 14 个关键因素。根据分析，最高管理层的承诺是具有高驱动力的重要因素，它夸大了其他因素。制造灵活性、卓越运营和企业竞争力等因素被置于模型的顶层，这表明它们的驱动力较小，组织在实施底层因素后需要关注这些因素。额外的因素可能考虑，这对于不同行业背景下的 AM 实施很重要。来自不同行业背景和地理位置的差异可以促进模型的理论稳健性。提议的 ISM 模型为业务经理规划运营战略以解决印度制造业的 AM 实施问题设定了方向。还，