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Convex relaxation for optimal fixture layout design

Author

Listed:
  • Zhen Zhong
  • Shancong Mou
  • Jeffrey H. Hunt
  • Jianjun Shi

Abstract

This article proposes a general fixture layout design framework that directly integrates the system equation with the convex relaxation method. Note that the optimal fixture design problem is a large-scale combinatorial optimization problem; we relax it to a convex Semi-Definite Programming (SDP) problem by adopting sparse learning and SDP relaxation techniques. It can be solved efficiently by existing convex optimization algorithms and thus generates a near-optimal fixture layout. A real case study in the half-to-half fuselage assembly process indicates the superiority of our proposed algorithm compared to the current industry practice and state-of-art methods.

Suggested Citation

  • Zhen Zhong & Shancong Mou & Jeffrey H. Hunt & Jianjun Shi, 2023. "Convex relaxation for optimal fixture layout design," IISE Transactions, Taylor & Francis Journals, vol. 55(7), pages 746-754, July.
  • Handle: RePEc:taf:uiiexx:v:55:y:2023:i:7:p:746-754
    DOI: 10.1080/24725854.2022.2102272
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