Manufacturing Excellence with AI-Powered Work Instructions Translations in Teamcenter Easy Plan

By Kerri Doyle and Gilad Weinbach

AI-Powered Work Instructions Translations: Translating assembly work instructions across multiple languages in a global manufacturing environment can pose significant challenges. Read on to learn how Teamcenter Easy Plan, powered with AI can help.

Digital threads as the foundation to optimize manufacturing processes

Common manufacturing industry pressures like growing product innovation, the need for mass customization, and the increasing mandate for sustainability, require manufacturers to transform their business using a digital enterprise to win in markets.

Disconnected systems often result in error-prone data duplication, disconnects between stakeholders, other costly disruptions that risk getting quality products into production on time. Conversely, a common digital enterprise shared with product design, manufacturing planning, and execution improves collaboration across the entire product and production lifecycle from design to manufacturing to service. Leading manufacturers use this framework as a starting point for digital transformation. Let’s explore how you can accelerate processes run through a digital enterprise even more with the power of AI.

Success with AI in manufacturing

As we look to the future, it’s clear that AI will continue to play a pivotal role in shaping the landscape of digital manufacturing. Embracing Siemens Xcelerator AI-driven engineering and manufacturing solutions is essential for staying competitive and getting quality products to market quickly.

Manufacturing process planning functions like manufacturing BOM management, bill of process (BOP) management, and electronic work instructions authoring and sharing are ideally enhanced with AI to help optimize these functions – resulting in:

Improved coordination between design and manufacturing teams during NPI and change processes
Identification and resolution of issues early-on in the product and production lifecycle with access to product and manufacturing knowledge
Automated creation of manufacturing process plans and bill of process to save time and resources
Current and accurate work instructions, translated to local language for global shop floor users
Reduced lead times in manufacturing by eliminating errors due to manual processes
Improved overall efficiency in process planning
Enhanced ability to meet market demand promptly working to up to date requirements

AI-powered work instructions translations

Global manufacturers often struggle with translating complex documentation, including process sheets and assembly line instructions, into ten or more languages. This task typically requires substantial resources and carries the risk of errors that can lead to production delays, and quality issues.

Traditionally, this process has been costly, time-consuming, and prone to errors.

Siemens Xcelerator addresses this need by integrating advanced AI agents, powered by Large Language Models (LLMs), into the manufacturing engineering workflow. Unlike traditional translation software, our solution does not only automate the translation process, but most importantly – understands context and technical nuances. The outcome is higher quality documentation for a fraction of the effort.

The Teamcenter Easy Plan’s AI-powered translation system, available from the upcoming Teamcenter 2506 release, delivers the following capabilities:

Preserves technical accuracy and context across languages, ensuring that manufacturing terminology is correctly interpreted
Updates all language versions simultaneously.
Incorporates visual aids and standardized symbols
Applies company-specific terminology, aligning with established manufacturing processes

The benefits are significant. Work instructions translation time is reduced from weeks to hours, while maintaining or improving accuracy. This ensures consistency across global facilities and reduces training time for new associates. Most importantly, it allows manufacturing engineers to focus on process optimization and innovation rather than documentation management.

In the demonstration below showing Siemens Teamcenter Manufacturing with Easy Plan, we see electronic work instructions authoring using AI. In this use case, AI is leveraged to execute the extraction of textual data from work instructions documents. This uses configured LLM, retaining all HTML and rich text formatting of work instructions.

As we see leading manufacturers digitally transforming their business with disruptive technology, it’s clear that AI in manufacturing processes plays a key role in manufacturing efficiencies. AI integrated into your digital manufacturing strategy can help you bring quality products to market, and ramp-up to production faster.