Lean Execution System Enables Highly Efficient Manufacturing

Leading2Lean’s Lean Execution System (LES) is cloud-based and works across existing legacy systems, tying operations together and providing full-plant insights and analysis. Because the system is cloud-based, it is low cost, low risk, and high reward. The LES helps manufacturers obtain true lean performance by focusing on problems and problem resolution in real time. Problems on the plant floor are quickly identified, resources to fix problems are quickly dispatched, down time and waste are reduced, and efficiency improves.


As an application example, LES has been fully rolled out across Autoliv’s 82 facilities in 27 countries. Autoliv is considered a global leader in automotive safety systems and began rolling out the LES in 2015.

Sponsored by Infosys

In Conversation with Antonio Neri, President & CEO – Hewlett Packard Enterprise & Salil Parekh, CEO – Infosys

Hear the CEOs of Infosys & HPE discuss the current crisis and how it has accelerated the need for digital transformation for their clients. Connectivity at the Edge, right mix of hybrid cloud, ability to extract data faster than ever before… these are just some of the contributions that HPE and Infosys make to our clients’ digital transformation journey.


Reported results for Autoliv include:

  • A 30% improvement in response time to maintenance issues
  • A 5% improvement in operational availability
  • A 12% reduction in cost of spare parts
  • A ignificant reduction in cost of product
  • Improvements in other areas such as Preventative Maintenance (PM) completion, Overall Equipment Effectiveness (OEE), Mean Time to Repair (MTTR), and response time to quality issues
  • Overall job satisfaction and improved employee performance 

For more details, pay a visit to LES and Autoliv.


Suggested Articles

Revenues overall hit $3.82 billion, up 1% from third quarter of 2019, as auto plants reopened and personal electronics revenues grew

MIT Sloan and Boston Consulting Group call for expanding organizational learning to gain better financial rewards of AI deployments

Originally a 1960s memory manufacturer, Intel wants out of NAND following the market decline in 2018