Skip to content
MarketScale
‹ Back to IndustriesEngineering & Construction

Sustainable Savings: GM Retrofits Facilities With TLED Technology

A few miles outside Detroit, Lake Orion, MI is home to the General Motors Orion Assembly plant, a 4.7 million square foot facility built in 1983. The Orion facility has produced over 5 million vehicles over that period, and earned both the Clean Corporate Citizen designation and the EPA’s Green Power Leadership Award for 2016….

This story was produced through MarketScale. See how Engineering & Construction teams put it to work with Partner & Channel Enablement.

Share
Sustainable Savings: GM Retrofits Facilities With TLED Technology

A few miles outside Detroit, Lake Orion, MI is home to the General Motors Orion Assembly plant, a 4.7 million square foot facility built in 1983.

The Orion facility has produced over 5 million vehicles over that period, and earned both the Clean Corporate Citizen designation and the EPA’s Green Power Leadership Award for 2016. The awards come from Orion’s Energy Optimization Leader, Edward Fish, who led the charge to retrofit the building’s dying fluorescent lighting with tubular LED (TLED) products.

After a thorough review process, Fish and his colleagues chose Starco Lighting in Buffalo, NY for the source of the replacement, and DES Electrical Services handled installation in both office and manufacturing spaces. The new Starco lamps produced higher lumen output and consistent performance until end-of-life compared to fluorescent and other traditional lighting solutions.

Fish says the Starco lighting has reduced energy consumption in office and manufacturing spaces by 40% and 54%, respectively. That newfound efficiency is expected to save the facility $300,000 or more, and employees say their working environment is brighter, more productive and safer. Starco has since retrofitted 17 GM facilities in North America and contracts for more TLED lamps are on the way.

Engineering & Construction: are you visible to AI?

Before they reach out, Engineering & Construction buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Engineering & Construction Insights

AI moves from back office to job site in construction's next build-out

AI moves from back office to job site in construction's next build-out

McCarthy Building Companies has entered a multimillion-dollar agreement with Palantir to enhance AI adoption. However, RICS experts highlight that data readiness and organizational culture pose significant challenges. This development signals a shift in integrating AI within construction sectors.

  • 01McCarthy Building Cos. signs a major deal with Palantir.
  • 02Data readiness is a critical hurdle for AI integration.
  • 03Organizational culture impacts AI adoption in construction.

Jul 11, 2026

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea is investing $7.5 billion in advancing AI-autonomous manufacturing, with a significant increase in smart factories, now totaling 30,000. The initiative also targets the development of 100 AI manufacturing zones throughout the country.

  • 01South Korea invests $7.5 billion in AI-autonomous manufacturing.
  • 02There are currently 30,000 smart factories in South Korea.
  • 03The government aims to develop 100 AI manufacturing zones.

Jul 11, 2026

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

U.S. construction productivity has decreased since 1968. Machine learning models and off-site construction methods are becoming pivotal in bridging this productivity gap by providing accurate cost forecasting and efficient building practices.

  • 01U.S. construction productivity has been declining since 1968.
  • 02Machine learning models offer enhanced cost forecasting capabilities.
  • 03Off-site construction methods contribute to improved project efficiency.

Jul 10, 2026

Explore More Engineering & Construction Insights

Read more expert perspectives from across Engineering & Construction.

Browse Engineering & Construction Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Engineering & Construction and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512