Challenge: Creating an MBOM from the EBOM can require extensive manual review, interpretation and consumption of engineering items, slowing industrialization and increasing the risk of missed or inconsistent manufacturing structure decisions that delay and impact production timelines.

Solution: LEO for Process Engineering helps generate an MBOM proposal from the product structure by reusing past industrialization knowledge, then keeps the process engineer in control to review, adapt and validate the result.

Benefit: Manufacturers can reduce MBOM creation and update effort by 90% to 95%, improve manufacturing engineering efficiency by up to 50% and reduce industrialization lead time by up to 25%.

Challenge: Shop-floor work instructions often need to be understood by local teams in their native language. However, manual translation can slow work instruction readiness, and unexpected engineering changes can create chaos, resulting in delays and un-needed risk.

Solution: LEO for Process Engineering helps translate work instruction content so operators and local manufacturing teams can review instructions more easily in the language they use every day and reinforce the right instructions are utilized.

Benefit: Manufacturers can improve shop-floor clarity, accelerate local validation and reduce the risk of process and quality errors caused by misunderstood instructions.

Challenge:  Machinery is expensive and resource intensive and today's programing and operating methods don't maximize machine efficiency, usability, and production volume potential due to manual, slow and sub-optimal tool paths and strategies.

Solution: Improve solution usability with direct language-based interactions and LEO supported automation to make bulk updates, tool strategy and path improvements to optimize the machine by guiding the operator.

Benefit:  Reduce production cycle time, improve machine and tool lifespans, enforce Industry and company best practices and standards, and automatically generate subsequent machining programs.  

Performance KPI & Target

• Reduction in programming time: >30% 

• Reduction in cycle time: >50%

• Reduction in number of errors: >50%

Challenge:  Manufacturing engineer's time is consumed by ensuring the product design can be manufactured at volume and quality levels required to satisfy customers.  This process is time consuming, wastes material, and can lead to production delays when manufacturing engineering is working to industrialize the manufacturing process to establish lead time, cost, and best practices to scale production.

Solution:  Generative Experiences in Process Engineering accelerates the production, automation, and optimization of MBOMs, process plans and work instructions by leveraging a powerful set of interactive tools with the LEO virtual companion to visualize and validate product and process at unprecedented speeds.

Benefit:  Manufacturing Engineering efficiency can be boosted by 50% while reducing lead time by 25%.  Quality, process standardization and best practices improve through the assisted and automated tasks (MBOM Management, Routings, Bill of Process...) while reinforcing industry and company best standards.

Challenge: NC programmers often spend significant time defining toolpath strategies, sequencing operations and adjusting machining parameters manually, which can slow programming and leave machining performance dependent on scarce expert knowledge.
 

Solution: Generative Experiences in NC Machining helps generate toolpath proposals by analyzing the part, identifying machining areas and applying proven strategies, parameters and sequencing within DELMIA machining workflows.
 

Benefit: Manufacturers can reduce programming time by 50% to 95%, reduce machining time by up to 25% and reduce machining cost by up to 20%, while keeping the NC programmer in control of review and validation.  In addition, Manufacturers achieve qualitative benefits by upskilling their workforce to manage these tasks that previously required months to develop.