Materialise > Case Studies > Hyundai Motors Improves Production Efficiency with Automation Software

Hyundai Motors Improves Production Efficiency with Automation Software

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 Hyundai Motors Improves Production Efficiency with Automation Software - IoT ONE Case Study
Technology Category
  • Functional Applications - Product Data Management Systems
  • Other - Additive Manufacturing
Applicable Industries
  • Automotive
Use Cases
  • Additive Manufacturing
  • Advanced Production Planning and Scheduling
Services
  • Hardware Design & Engineering Services
The Challenge

Efficiently manage prototype production

3D printing started out as a prototyping technology for the automotive industry. Although it has grown into a manufacturing technology for a wide variety of industries, the prototyping application still plays an important role in many automotive industries worldwide. World-famous car manufacturer Hyundai Motor Company focuses on cars with better performance and higher safety.

By relying on 3D printing, they can create new products in a fast and cost-effective way, and experiment with designs with almost no design limitations or material waste. But how do they efficiently manage their Additive Manufacturing (AM) production?

The Customer

Hyundai Motor Corporation

About The Customer

Hyundai Motor Company, often abbreviated as Hyundai Motors and commonly known as Hyundai, is a South Korean multinational automotive manufacturer headquartered in Seoul, South Korea. Hyundai Motor Company was founded in 1967.

The Solution

Efficiently Managing RP Production

Hyundai Motor Corporation had to schedule different build jobs, keep an overview of all the build statuses and ensure that the information flows efficiently to all people involved. Before, they used Excel sheets to manage the RP production status, meaning that the information needed to be frequently updated and spread manually. To keep track of the number of parts produced, the savings, and other operating data, they manually generated reports. Machine operators also invested significant man-hours to manually manage the operating plan for each machine and adjust and communicate the planning as soon as changes occur.

Operational Impact
  • [Data Management - Data Visibility]

    Everyone can view the production planning and status of each machine, and the requestor is automatically informed by the system once a build is completed.

Quantitative Benefit
  •  Man hours were reduced by 77 %.

  • Saving material (13%) and reducing data preparation (94%), build (30%), and post-processing time

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