Embracing the Future: How Digital Twin Technology Can Accelerate Manufacturing Operations
From May issue, NZ Manufacturer magazine www.nzmanufacturer.co.nz -Adam Sarman, Senior Partner, Dsifer In an industry in which flexibility, agility and innovation are no longer competitive advantages, but tickets to the game, the ability to make responsive, agile decisions, predict future requirements and innovate without impacting operations are critical. In this dynamic industry context, digital twin technology has emerged as an important but underutilised technology. Digital twins are software models that represent the attributes and operating behaviour of physical assets, product designs and/or processes. They support better decision making by simulating how these applications behave given certain inputs. A digital twin’s ability to enable progressive learning and capture tacit knowledge provides a key, differentiating benefit: it stores and structures information in a way engineers and operators can understand. Digital twins, are reshaping how products are designed, manufactured, and optimised across all process and design-drive industries. Three key applications of digital twin technologies are process optimisation through simulation, product design simulation, factory/operation design and predictive maintenance. Process Optimisation: Enhancing Efficiency and Accuracy Process simulation lies at the heart of manufacturing and supply-chain optimisation, and digital twins provide an unparalleled platform for achieving this. By creating virtual replicas of production processes, manufacturers can simulate and analyse operations in real-time, enabling them to identify bottlenecks, optimise workflows, and improve efficiency. For instance, in automotive manufacturing, digital twins are used to simulate assembly lines, allowing manufacturers to test different layouts and production scenarios before implementation. Moreover, by integrating IoT sensors and data analytics, manufacturers can collect real-time data from equipment and processes, feeding it into the digital twin for predictive maintenance and continuous improvement. Product Design: Accelerating Innovation and Iteration Digital twins play a crucial role in product design by enabling engineers to create virtual prototypes and simulate their performance under various conditions. This […]