Computer-Aided Assembly Sequence Planning

FLAIR
Overview

FLAIR develops an application to automatically generate assembly sequences. Data is firstly extracted from the CAD system and modelled based on geometrical and precedence information. Based on this, the AI generates an optimal assembly sequence regarding specific optimization criteria. The application is offered through a Software as a Service model.

  • Computer-Aided Assembly Sequence Planning 0
Commercialisation opportunities
Application as Software as a Service model
Problem addressed

Assembly sequence planning is a time-consuming and tedious step in the introduction of new products. When introducing new products to the market time is critical, especially relevant to the assembly line planning because of the interdisciplinarity. The critical step is the assembly sequence planning which currently is still done manually in tedious steps.

Innovation
  • Artificial Intelligence-based part type recognition to derive relevant sequence constraints automatically
  • CAD-System embedded application to enable user feedback incorporation for reliable assembly sequence planning
  • Offered through a flexible cloud based Software as a Service model
Key impact
  • Reducing time-to-market for newly introduced products
  • Relieving product designer of tedious manual work
  • Facilitating introduction of new products to the assembly line
Application
  • Product design
  • Assembly Planning
  • Contract manufacturer with frequent introduced products
  • Low Volume manufacturing with demand to reduce assembly planning efforts

Patent

  • Hong Kong Short Term Patent Patent No. : 30077891 A

The Hong Kong Industrial Artificial Intelligence & Robotics Centre (FLAIR) is established by the Hong Kong Productivity Council (HKPC) at the Hong Kong Science Park and is part of AIR@InnoHK, which is one of the two world-class research clusters being established by InnoHK Clusters of the HKSAR Government, to support Hong Kong in developing into an international innovation and technology hub.

FLAIR aims to engender synergy and achieve a clustering effect by attracting top-notch local, Mainland and overseas research institutions to engage in research collaboration. It will also actively approach private enterprises and industry associations for consultation and solicit their involvement in FLAIR’s work to ensure its industry orientation in addressing major R&D problems encountered by the industries in AI adoption.

As the sole founder, HKPC works together with RWTH Aachen Campus of Germany, the major collaborator of FLAIR, by bundling their strengths and repertoire of resources in technical expertise, networks, innovation and patents etc. to set up the FLAIR and support its operation.

For more information, please visit FLAIR’s website: https://www.hkflair.org

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