Real-time GA-based rescheduling approach for the pre-sewing stage of an apparel manufacturing process

Wai Keung Wong; S. Y S Leung; K. F. Au

doi:10.1007/s00170-003-1819-3

Real-time GA-based rescheduling approach for the pre-sewing stage of an apparel manufacturing process

Wai Keung Wong, S. Y S Leung, K. F. Au

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

18 Citations (Scopus)

Abstract

In this paper, a real-time segmentation rescheduling (RSR) approach using genetic algorithms to handle the production planning and scheduling problem in dynamic apparel manufacturing environment is proposed. Experiments based on the actual production data were conducted to validate the performance of the RSR approach. The experimental results indicated that the makespan and the influence caused by the change of schedule could be minimised.

Original language	English
Pages (from-to)	180-188
Number of pages	9
Journal	International Journal of Advanced Manufacturing Technology
Volume	25
Issue number	1-2
DOIs	https://doi.org/10.1007/s00170-003-1819-3
Publication status	Published - 1 Jan 2005

Keywords

Apparel manufacture
Genetic algorithms
Rescheduling

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

More information

10.1007/s00170-003-1819-3

Cite this

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Real-time GA-based rescheduling approach for the pre-sewing stage of an apparel manufacturing process

Abstract

Keywords

ASJC Scopus subject areas

More information

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