Building the Architecture for Managing Technical Documentation of Products with Long Lifecycles

  • Fachvortrag
  • Lifecycle Management and Compliance
  •  Alex Masycheff

    Alex Masycheff

    • conceito GmbH

Contents

Managing documentation for complex products in industries, such as automotive, aerospace and machinery, can be especially challenging. Apart from the high cost of error, many other factors are making things even more complex:

  • Multiple teams, from planning to content creation to maintenance, are involved in the documentation process. 
  • The product content is complex and dispersed across multiple silos. Providing the right content to the right people at the right time requires a properly built architecture.  
  • These products often offer a wide variety of configuration options. Therefore, the documentation has to be tailored to a specific configuration.
  • Since maintenance is very important for products with long life cycles, service engineers need to have an easy access to the relevant documentation. 
  • Regulatory pressure not only makes the technical documentation mandatory, it may also dictate the way how the documentation is structured and written. This imposes new requirements on quality assurance, which has to be also properly managed.

Join us at this session to learn how to build a management framework and a technology architecture for such environments.

Takeaways

  • How to build team and content architectures for products with long life cycles
  • How to use automation in such environments
  • How digital information twins ensure delivering the right information at the right time to the right people

Prior knowledge

n/a

Speaker

 Alex Masycheff

Alex Masycheff

  • conceito GmbH
Biography

Alex Masycheff has been in the content industry for 30+ years. He lead implementation of content management and knowledge management solutions in many companies, including Kodak, Siemens, Netgear, Toyota, Mercedes-Benz, and EMC.

Alex believes that the key to leveraging the value of the product content is in combination of semantically rich structured content, automation, and artificial intelligence.