ABSTRACT

The research proposes a metric referred to as Smart Manufacturing Performance Measures (SMPMs), which are mapped with manufacturing decisions (structural and infrastructural) and manufacturing outputs (cost, quality, delivery, flexibility, and innovativeness). The mapping between manufacturing decisions, manufacturing outputs, and SMPMs, facilitates the organization in choosing SMPMs to deliver desired output as represented by the competitive priority. The approach provides a direction for the practitioners to implement and operate smart manufacturing systems efficiently and effectively by devising a performance measurement system. A total of 22 performance measures are identified through an in-depth literature review. These are further classified into hard and soft measures, which allow decision-makers to measure SMPMs and focus on a specific performance measure. Further, SMPMs is linked to 13 enablers, which are the driving technologies for implementing smart manufacturing systems. Smart manufacturing is evolving, and its implementation is still in the nascent phase. The proposed approach plays a vital role in redefining the manufacturing strategy while deploying smart manufacturing systems. The research contribution is a step-in assessment of smart manufacturing to understand the ‘what’ and ‘how’ of technological changes are transforming the operations and driving outputs.

抽象的

该研究提出了一种称为智能制造绩效度量（SMPM）的度量标准，该度量标准与制造决策（结构和基础设施）和制造输出（成本，质量，交付，灵活性和创新性）相对应。制造决策，制造产出和SMPM之间的映射有助于组织选择SMPM来交付竞争优势表示的期望产出。该方法为从业人员通过设计绩效评估系统提供了一个指导，使其可以高效，高效地实施和操作智能制造系统。通过深入的文献综述，总共确定了22种绩效指标。这些措施又分为硬性措施和软性措施，这使决策者可以衡量SMPM并专注于特定的绩效衡量指标。此外，SMPM与13个促成因素相关联，这是实现智能制造系统的驱动技术。智能制造不断发展，其实施仍处于起步阶段。在部署智能制造系统的同时，所提出的方法在重新定义制造策略中起着至关重要的作用。该研究成果是对智能制造的渐进评估，旨在了解技术变革的“内容”和“方式”如何改变运营和驱动产出。在部署智能制造系统的同时，所提出的方法在重新定义制造策略中起着至关重要的作用。该研究成果是对智能制造的渐进评估，旨在了解技术变革的“内容”和“方式”如何改变运营和驱动产出。在部署智能制造系统的同时，所提出的方法在重新定义制造策略中起着至关重要的作用。该研究成果是对智能制造的逐步评估，旨在了解技术变革的“内容”和“方式”如何改变运营和驱动产出。