Siemens Digital Industries Software Blogs

Bin-picking refers to the automated process of using robots, often equipped with vision systems, to identify, pick, and place parts from a bin or container. Explore how static analysis, robotics simulation and virtual commissioning technology help evaluate, debug, and validate bin-picking stations before physical hardware is deployed, reducing risks and avoiding costly delays.

Artificial intelligence is already finding a place across many different areas of the design and manufacturing process but its benefits...

In the second episode of the advanced robotics series in our Digital Transformation podcast, host Chris Pennington, global industry marketing...

The future of digital manufacturing is here with Process Simulate X, now available in cloud-based trials. This industry-leading digital manufacturing software combines flexibility, security, and scalability with cutting-edge cloud technologies. Whether optimizing robotic automation or enhancing human task simulation, these trials empower manufacturers to streamline operations and boost efficiency like never before.

In our latest design to manufacturing demonstration, we show how manufacturers like you, can digitally connect design, 3D printing, CNC machining, quality inspection, and assembly. This end-to-end digital thread results in faster turnaround times, improved product quality, and greater flexibility, ultimately paving the way for the next generation of high-performance products. From digital planning to seamless shop floor execution, each step features the power of a unified workflow. Specifically, in this stage, we demonstrate how Opcenter X helps integrate real-time data and ensures smooth coordination between engineering and production, enabling manufacturers to execute their vision with precision and agility.

Siemens Digital Industries Software has been recognized as one of the “Top 100 Logistics and Supply Chain Technology Providers 2025”...

In the fast-paced world of pharmaceutical manufacturing, optimizing plant design and operations is crucial for ensuring high-quality production and meeting regulatory standards. As the industry continues to evolve, adopting advanced technologies like simulation has become essential for designing and improving pharmaceutical plants. Utilizing simulation tools not only allows you to create more efficient and flexible plant layouts but also helps you predict and optimize resource consumption, material flow, and production line design before any physical construction takes place.

The integration of artificial intelligence (AI) into process simulation is transforming the way engineers design, optimize, and validate production workflows. Siemens Process Simulate Copilot emerges as the latest next-generation AI-driven assistant, redefining efficiency in digital manufacturing. By harnessing AI technologies available in cloud-based Process Simulate X, this intelligent Copilot enhances user experience, streamlines complex tasks, and accelerates decision-making—all while automating intricate simulation processes.

What if you could use data generated by simulation to speed up training for AI models? Simcenter Engineering Services has developed a VPA framework for massive data generation to aid in vehicle NVH engineering.