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 |
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Title of host publication | 2006 IEEE International Conference on Mechatronics, ICM |
Pages | 219-224 |
Number of pages | 6 |
DOIs | |
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 |
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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