Case Study: Stud Weld Quality in Automotive Assembly Lines

Our client is a major luxury and utility vehicle manufacturer that pride themselves on the quality,
safety, and reliability of their vehicles. The company operates a high-capacity automotive assembly
plant in South Africa, where its manufacturing activities contribute significantly to job creation and the local economy.

THE CHALLENGE

Within our client’s manufacturing process, the body shop is one of the most complex areas, with at least 200 robots in operation.  It is within this area that they were experiencing some challenges in their stud welding operations—with plant-wide implications. The main problem was the significant increase in downtime due to stud welding faults, resulting in substantial costs to the business.  

Due to the inherent complexity of the stud welding process,  traditional statistical solutions fall short in trying to address the problem. Since our client prides themselves on maintaining premium quality in their completed vehicles, they decided to approach DataProphet to help find a durable solution to the problem.

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WHY CHOOSE DATAPROPHET AS YOUR AI PARTNER

Too often, AI-as-a-Service providers equate research-based methodologies with one-size-fits-all industry solutions. DataProphet works closely with partners to gain an understanding of their unique set of production problems. We adopt AI-driven manufacturing solutions to the production dynamics of your factory floor, incorporating our proven, industrial process expertise, but taking our cues from contextualized feedback. We understand that most impact is achieved by building machine-learning models to mesh with your production lines' realities and the assets that drive them. Our partnerships are guaranteed win-win.

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Production Increase

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Product Traceability

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0% External Scrap

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Guaranteed ROI