Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/68822
Title: An artificial intelligence method for planning the clothing manufacturing process
Authors: Wong, WK 
Chan, CK 
Issue Date: 2002
Publisher: Routledge, Taylor & Francis Group
Source: Journal of the Textile Institute, 2002, v. 92, no. 2, p. 168-178 How to cite?
Journal: Journal of the Textile Institute 
Abstract: In clothing manufacturing, manufacturers arc now facing difliculty with production planning and scheduling at their customers apply the just-in-timc philosophy to their husinesses. Although various production scheduling and planning heuristics have been proposed and applied by many researchers, only a few studies have been conducted in the clothing industry. This paper describes the development of an effective artificial intelligence technique. Genetic Algorithm (GA), incorporated with an 'earline.s.s' and 'tardiness* production scheduling and planning method to plan the clothing manufacturing process. Additionally, a .segmentation strategy is developed to divide the production-planning period to overcome the problem of chromosome selection in GA. The experimental results demonstrate tbe effectiveness of the proposed method in the clothing manufacturing process.
URI: http://hdl.handle.net/10397/68822
ISSN: 0040-5000
EISSN: 1754-2340
Appears in Collections:Journal/Magazine Article

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