Digitalization of New Product Development

Engineers reviewing a product design and CAD model on laptops and tablets

WEBINAR · ON-DEMAND

Today’s New Product Development (NPD) projects are mechatronic, with a tremendous amount of electronics and software — in fact, 20-50% of warranty issues in vehicles include software as a root cause, and this extends to similarly complex systems. This webinar explores the key building blocks of digitalization in new product development, including advanced quality planning, requirements management, bi-directional traceability, DFMEA/PFMEA risk tools, supply chain planning, AI/machine learning capabilities, and complex BOM management for manufacturing launches.

The competitive advantages and concepts of NPD digitalization will be shown with a case study in this presentation. Digitalization makes every field of data available for analysis whether inside the company or in the supply chain. With a tremendous amount of data available in the digitalization process, Business Intelligence, and analytics play a key role in utilizing that information.

Digitalization is the use of digital technologies to convert a process into digital information. The process performance turns into data that can be used to manage the process. The goal of digitalization is to reduce the number of steps in a process, reduce lead time, and to increase efficiency.

Key Topics

  • Prevention-based digitalization in NPD
  • Software, hardware, and global team implementations
  • Requirements management and bi-directional traceability
  • DFMEA/PFMEA product risk assessment
  • AI and machine learning integration
  • Supply chain planning and complex BOM management
  • Business intelligence and analytics
  • Process efficiency and lead time reduction

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