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Optimization of Fault-Tolerant Fabric-Cutting Table Planning in a Just-In-Time Apparel Manufacturing Environment

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3 Author(s)
Pik-Yin Mok ; Inst. of Textiles & Clothing, Hong Kong Polytech. Univ. ; Wai-Keung Wong ; Chun-Kit Kowng

In apparel manufacturing, accurate upstream fabric-cutting planning is crucial for the smoothness of downstream sewing operations. Effective and reliable fabric-cutting 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

Published in:

Mechatronics, 2006 IEEE International Conference on

Date of Conference:

3-5 July 2006