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

doi:10.1109/ICMECH.2006.252528

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

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

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 language	English
Title of host publication	2006 IEEE International Conference on Mechatronics, ICM
Pages	219-224
Number of pages	6
DOIs	https://doi.org/10.1109/ICMECH.2006.252528
Publication status	Published - 1 Dec 2006
Event	2006 IEEE International Conference on Mechatronics, ICM - Budapest, Hungary Duration: 3 Jul 2006 → 5 Jul 2006

Conference

Conference	2006 IEEE International Conference on Mechatronics, ICM
Country/Territory	Hungary
City	Budapest
Period	3/07/06 → 5/07/06

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Mechanical Engineering

More information

10.1109/ICMECH.2006.252528

Cite this

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abstract = "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.",

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Optimization of fault-tolerant fabric-cutting table planning in a just-in-time apparel manufacturing environment. / Mok, Pik Yin ; Wong, Wai Keung; Kowng, Chun Kit.
2006 IEEE International Conference on Mechatronics, ICM. 2006. p. 219-224 4018363.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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

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