Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31363
Title: Fuzzy operator allocation for balance control of assembly lines in apparel manufacturing
Authors: Hui, PCL 
Chan, KCC 
Yeung, KW
Ng, FSF 
Keywords: Apparel manufacturing
Balance control
Fuzzy logic
Hybrid assembly line
Process management
Issue Date: 2002
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on engineering management, 2002, v. 49, no. 2, p. 173-180 How to cite?
Journal: IEEE transactions on engineering management 
Abstract: Production processes in apparel manufacturing typically involve hybrid assembly lines. In order to perform at predetermined production rates, careful balance control of the sewing operations on these assembly lines is very important. The right number of operators to be moved in and out of a sewing section has to be accurately determined. In this note, we extend the literature on fuzzy logic applications to control systems by proposing a simple, yet effective, rule-based system that captures the knowledge of experienced supervisors in a set of fuzzy rules. These rules specify how balance control can be achieved based on the level of difference between 1) the actual and target buffer level and 2) the actual and target section performance. Since these parameters are normally expressed in linguistic terms, they are encoded in rules expressed with fuzzy logic. The number of operators to be moved in and out of a sewing section can, therefore, be determined by means of fuzzy inferences. To evaluate the effectiveness of the system, we compared its performance to the decisions made by experienced supervisors at a large shirt factory. The system was found to increase in production efficiency by 30%.
URI: http://hdl.handle.net/10397/31363
ISSN: 0018-9391
EISSN: 1558-0040
DOI: 10.1109/TEM.2002.1010885
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