Application of Digital Twin in the Heavy Machinery Manufacturing Industry

Abstract

In contemporary competitive marketplaces, where mass customisation of products and the increasing significance of software components pose new obstacles, digitalisation in production is perceived as an opportunity for product customisation and enhanced productivity. Digital technologies, referred to as Industry 4.0 technologies, facilitate the seamless integration of interconnected intelligent components inside the shop floor. These technologies enable remote sensing, real-time monitoring, and control of devices and cyber-physical production components across network infrastructures, hence facilitating more direct integration and oversight of these devices. To this end, the sole purpose of this study was to address the question related to the impact of digital twin in the South African heavy equipment sector. To achieve this objective, this study used an integrated FUZZY-DEMATEL model to determine the operationalisation of determinants for Digital Twin technology success in the heavy machinery manufacturing industry. Advanced production planning and optimization; Automation and Robotics; Predictive maintenance; Supply chain optimization; Remote monitoring and support; Data-driven decision making; Cost reduction through connectivity enhanced efficiency and quality were identified as the most significant operationalisation determinants.