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Lear's Orion seat plant aims to cut conversion costs 10% to 15%

An internal team that came out of Lear's purchase of ASI Automation developed the two automated storage systems at Lear's seat plant in Orion, Michigan. The plant will make seats for three General Motors models: the Cadillac Escalade, Chevrolet Silverado and GMC Sierra.

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By MarketScale Newsroom · Lear CorporationGeneral MotorsFord Super DutyFactory Automation
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Lear's Orion seat plant aims to cut conversion costs 10% to 15%

Key takeaways

01

An internal Lear team built Orion's two storage systems, and Lear expects automation at the plant to cut conversion costs 10% to 15%.

02

A blueprint plant still has to be validated at each new site: cycle time, ambient light, dust, workstation layout and maintenance can change how well a copied design performs.

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Lear's new seat plant in Orion, Michigan, has two separate automated storage and retrieval systems. One handles raw components such as foam, and the other handles finished goods. The plant will build seats for the Cadillac Escalade, Chevrolet Silverado and GMC Sierra. According to Lear President and CEO Raymond Scott, an internal team born out of Lear's purchase of ASI Automation developed both systems.

Scott told investors on an Oct. 30 earnings call that Orion is on track to begin operation next year. He said its automation should cut conversion cost requirements by 10% to 15%. Supply Chain Dive's Phil Neuffer, who reported on the call, wrote that Lear plans to use Orion as the blueprint for automation across its global production network, and will scale the model to other sites that support programs such as the Ford Super Duty line.

The percentage is what people will notice. But Lear also says the intellectual property behind Orion's core systems belongs to the company. CEO Raymond Scott said that because Lear owns that IP and sets the road map itself, it is able to scale the technology across its global footprint.

What runs the Orion seat line

Orion has two automated storage and retrieval systems (ASRS). One holds raw components such as foam, and the other holds finished goods. Scott said both came from an internal team that Lear gained when it bought ASI Automation. Around them sits a long list of equipment: an overhead suspended storage and delivery system, automated guided vehicles, autonomous mobile robots, a four-directional storage system, automated trailer loading, smart ovens, automated end-of-line testing and AI vision inspection.

Lots of factories own pieces of that list. What Scott emphasized is the layer tying it together. He calls it integrated intralogistics: one connected system that manages inventory, material movement, storage and real-time decisions from the moment a component arrives at the dock until a finished seat leaves on a trailer.

Scott described the goal as automated execution. Routine tasks go to machines, and people spend their shifts solving problems. Because the processes are linked, he said, the plant can monitor, analyze and adjust in real time, which helps both efficiency and inventory control.

A decade of buying the know-how

Lear executives describe Orion as the capstone of a 10-year effort built on acquisitions and technology development. An internal team born out of Lear's purchase of ASI Automation developed the storage systems.

WIP Industrial Automation, based in Valladolid, Spain, had been a long-time supplier to Lear before Lear bought it. Lear completed the deal on July 17, 2024, without disclosing terms. The company said WIP brings strong robotics and AI-based computer vision capabilities, which are important for safety and quality in a modern manufacturing environment. It also said the acquisition lets Lear operate more efficiently and handle challenges such as elevated wage inflation more effectively.

We own the IP, we control the road map, and we can scale it across our global footprint., Raymond Scott, Lear president and CEO, on the Oct. 30, 2026 earnings call, as reported by Supply Chain Dive

Scott said the company is changing both how seat systems are made and how automakers source them.

Where a copied plant still needs proof

There's a reasonable objection to all this. A blueprint copies the design, not the building it ends up in. Fred Fox Jr., president of Kardex Solutions Americas, made that point about automated storage in a recent interview with Vision Systems Design. He said vision systems should be judged by what they do to cycle time, not just by how well they recognize parts. If a camera adds several seconds to every pick, a handheld scanner may be the better tool.

Fox also said that equipment which works fine in normal warehouse conditions can struggle with unusual light, such as direct sun coming through a window at a certain hour. Dust, cardboard, how products are presented and how a workstation is laid out can all affect performance even when the hardware is identical. It backs that with preventive maintenance and tools that keep sensors clean.

In Kardex's setup, a local unit near the workstation handles sensing and machine-level responses, while warehouse execution software manages orders and inventory. A split like that could make a design easier to repeat. Even so, each application still has to be validated against its own product range and operating requirements.

There's also a limit on how far the evidence reaches. Orion will make seats for the Cadillac Escalade, Chevrolet Silverado and GMC Sierra, and Lear named the Ford Super Duty line as one program the model could support at other sites. That suggests the template's first tests will run on similar products. Suppliers with a different mix of programs may want to see how the model holds up on other products before treating Orion as a reference design.

The Super Duty test

The 10% to 15% figure is a forecast for a plant that isn't running yet, so the first operating quarters will show whether the linked system hits it. The clearer signal will be the second site. If a plant supporting Ford Super Duty seating starts up on the Orion design without a long debugging period, Lear's claim that the model scales across its footprint will rest on real results.

Until then, operations leaders at other tier suppliers have a concrete reference design to measure against. Orion raises a direct question for them about which parts of their own plant they could copy to the next site, and which parts they would have to buy again.

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