HD Hyundai Partners with Siemens to build smart shipyards

Companies
Typography
  • Smaller Small Medium Big Bigger
  • Default Helvetica Segoe Georgia Times

 

HD Hyundai announced  that it had signed a strategic memorandum of understanding  with Siemens to enhance modernization and technological competitiveness in the U.S. shipbuilding industry during the Asia-Pacific Economic Cooperation  CEO Summit held in Gyeongju, North Gyeongsang Province.

Under the agreement, the two companies aim to strengthen the overall competitiveness of the U.S. shipbuilding industry by improving design quality of U.S. shipyards, minimizing process risks, enhancing quality, and reducing costs. By combining HD Hyundai’s shipbuilding expertise with Siemens’ digital twin and business platform technologies, they plan to drive digital transformation of production processes and maximize efficiency.

In particular, HD Hyundai and Siemens will promote step-by-step technological innovations across the shipbuilding sector, including digital advancement of ship design, smart automation of block assembly and installation processes, and data-based optimization of production, quality, and process management.

The two companies will also collaborate on a training program to develop specialized shipbuilding professionals. HD Hyundai will dispatch training personnel and utilize more than 30 Siemens’ training facilities across the United States to provide practical, field-based education. Based on existing industrial-educational partnerships with major universities such as the University of Michigan and MIT, HD Hyundai will also develop specialized training programs in engineering, digital design, and process automation.

Since 2023, HD Hyundai has been working with Siemens, a leading provider of industrial software, to jointly develop a manufacturing innovation platform. The goal is to build a single platform integrating data from design to production, enabling virtual implementation of shipbuilding design and production processes to reduce trial and error and derive optimal results.

Source:Business Korea