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Maximizing Value: How Process Simulate X Value Based Licensing Transforms Your Workflow 

In our previous post, we introduced Process Simulate X Value Based Licensing (VBL) as a flexible and cost-effective approach to accessing a broad range of manufacturing simulation capabilities. Now, let’s dive deeper into how this token-based system truly empowers your engineering workflow, from practical application to significant cost savings and innovative new features.

Planning and simulation at Realize LIVE Americas: a full recap of manufacturing innovation

The Tecnomatix track highlighted how manufacturers are using solutions around manufacturing planning, simulation, service, digital twins, and Industrial AI to improve decision-making before implementation, reducing risk while increasing productivity, quality, and operational performance. Throughout the week, customers, partners, and Siemens experts shared how these technologies are transforming manufacturing engineering and factory operations.

From 22 Days to 60 Seconds: How Max Bögl Cut Idle Time and Costs with Plant Simulation

By leveraging Plant Simulation from Siemens Digital Industries Software (Tecnomatix® portfolio), Max Bögl has fundamentally transformed construction logistics planning, reducing weeks of real-world operations into simulations that run in under a minute. Read more!

Orchestrating the AI Factory of tomorrow: a workflow for speed and future-readiness [VIDEO]

The world’s data centers are undergoing a fundamental transformation. What were once facilities for storing and serving data are rapidly becoming “AI Factories,” purpose-built powerhouses designed to generate intelligence at unprecedented scale. This shift introduces enormous complexity: how can we build faster, operate under tighter power constraints, and engineer for hardware that often doesn’t exist yet?

The Factory That Thinks: Inside Siemens Digital Twin Composer at Hannover Messe 2026 [VIDEO]

Explore how Siemens, NVIDIA and AWS are turning siloed factory data into a living, self-optimizing system and what it already delivered for major CPG leader, PepsiCo. At Hannover Messe, Siemens used the world’s premier industrial stage to demonstrate something extraordinary: a fully connected, AI-powered digital enterprise and Siemens Digital Twin Composer was at the heart of it.

If you weren’t able to attend, watch the video on demand where leaders from Siemens, NVIDIA and AWS share how to move from data silos to a living factory, helping manufacturers scale the industrial metaverse with Siemens Digital Twin Composer.

Unlocking agility in manufacturing simulation: an introduction to Process Simulate X Value Based Licensing

In the dynamic landscape of modern manufacturing, companies are constantly striving for greater agility and efficiency to remain competitive. However, organizations often face a common challenge when evaluating their software investments: balancing cost optimization with intentional use of specific capabilities. Investing in comprehensive software solutions shouldn’t mean paying for features that are only used occasionally. This dilemma frequently results in underutilization of advanced capabilities or hesitation to adopt them altogether, ultimately limiting innovation. Siemens addresses this challenge with Value Based Licensing (VBL) for Process Simulate X, an innovative approach that simplifies software access and consumption while enabling users to maximize value and scale with confidence in their manufacturing simulation operations.

Tecnomatix ranked as leader in Digital Twin software: G2 Spring 2026

We’re excited to share that Tecnomatix has once again been recognized by G2, the world’s leading software review platform, as a Leader in Process Simulation software for Spring 2026. Read more to hear from Tecnomatix users about the solution.

The rise of AI Factories: accelerating the design and operations of next-gen data centers

AI infrastructure is entering a new era, one where data centers are no longer just storing information, but actively producing intelligence. These data centers, also known as “AI factories,” introduce a new level of complexity, driven by three forces: the need to build faster, operate more efficiently under tight power constraints, and engineer and validate hardware that doesn’t yet exist. In this blog, we’ll break down the core challenges shaping AI factory development, the emerging metrics that will define success, and why traditional approaches are no longer enough. We’ll also explore how a new generation of tools, like Siemens’ Digital Twin Composer, helps teams design, build, and operate these facilities with greater speed, coordination, and confidence.

Optimize my plant: How Many AGVs Do You Really Need? 

Your AGV fleet is one of the biggest investments in your warehouse. Are you sizing it on data, or on gut feel? At LogiMAT 2026 in Stuttgart, we showcased Optimize my plant live, and the response from warehouse and intralogistics professionals confirmed what we see every day: critical decisions about fleet sizing, shift planning, and maintenance are still made without the full picture. That costs time, money, and delivery reliability.