Blog tagged as Digital Twins

Design reuse is not just about saving time. It is a strategic lever for improving engineering productivity, ensuring design consistency, and enabling scalable digital transformation. Think of this as a circular economy principle applied to product design.

OEM manufacturers have years of experience building their manufacturing competencies and streamlined operations. Part 3 of the Designing Intelligence blog explores how OEMs should introduce technology tools for developing and supporting their workforce on the shopfloor and beyond.

OEM manufacturers have years of experience building their manufacturing competencies and streamlined operations. Part 2 of the Designing Intelligence blog explores how some versions of operational twins exist in many organizations and strategic thinking can uncover them for ops scenario planning.

OEM manufacturers are grappling with fragmented design practices, siloed tools, and tribal engineering workflows. This blog explores how a next-gen approach to digital twins can help OEMs accelerate design, commissioning, and empower multi-disciplinary teams.

This article explores how human capital development is key to the future of manufacturing. Mfg technology should be human centric, to augment the capabilities of the next-gen talent to onboard, train and perform their roles .

This blog explores how Digital Twins and Connected Worker technologies can modernize manufacturing. Learn how AI-driven insights, AR training, and remote support reduce training time, improve compliance, and enhance efficiency, helping factories scale for the next-gen workforce

Cost estimation is a critical factor in manufacturing, impacting budgets, timelines, and overall ROI. With digital twins, manufacturers can simulate, validate, and optimize costs before physical deployment—reducing risks and improving decision-making.

Partnering with an automation builder, a manufacturer optimized its induction hardening process with digital twins and a SCARA robot, boosting efficiency by 20% and adding Industry 4.0 capabilities. Simulations minimized design risks, ensuring smooth deployment and workforce adoption

Though different, Physical AI and Digital Twins are complementary. Real-time data from Physical AI systems can update Digital Twins to ensure accurate modeling, while insights from Digital Twins can optimize the performance of Physical AI systems. Together, they create a feedback loop.