Optimization of fault-tolerant fabric-cutting table planning in a just-in-time apparel manufacturing environment

Pik Yin Mok, Wai Keung Wong, Chun Kit Kowng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


In apparel manufacturing, accurate upstream fabric-cutting planning is crucial for the smoothness of downstream sewing operations. Effective and reliable fabriccutting schedules are difficult to obtain because the apparel manufacturing environment is fuzzy and dynamic. In this paper, genetic algorithms and fuzzy set theory are used to generate fault-tolerant fabric-cutting schedules in a just-in-time production environment. The proposed method is demonstrated by two typical cases with production data collected from a Hong Kong-owned garment production plant in China. Experimental results demonstrate that the genetically improved fault-tolerant schedules effectively satisfy demand of downstream production units, guarantee consistent and reliable system performance, and also reduce production costs through reduced operator idle time.
Original languageEnglish
Title of host publication2006 IEEE International Conference on Mechatronics, ICM
Number of pages6
Publication statusPublished - 1 Dec 2006
Event2006 IEEE International Conference on Mechatronics, ICM - Budapest, Hungary
Duration: 3 Jul 20065 Jul 2006


Conference2006 IEEE International Conference on Mechatronics, ICM

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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