DocumentCode :
498835
Title :
Extension adaptive method: An approach to support the configurable layout design
Author :
Tang, Hui-jun
Author_Institution :
Fac. of Software, Ningbo Dahongying Coll., Ningbo, China
Volume :
4
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
2300
Lastpage :
2305
Abstract :
Reasonable layout configuration can make full use of existing resources of enterprises. The designation based on modular technology is generally used as a common method. Through the analysis of the module and the layout, the whole configuration should be scientific and rational. But in one module, there exists lots of the individuals, it could be difficult to find the one that suits the demand best, also there comes the situation that all existing individual may not match to the demand, these have become the important problems in the module design area. In this paper, as a new approach for the configurable layout design, the extension adaptive method which is based on the extension theory is proposed. The whole method could be divided into three steps. Firstly, to the customers demand, the adaptive function is introduced to evaluate the fitness of the modules and the individuals in the modules. It could see that the individual which has the biggest adaptive value to the demand could be the final result. Secondly, when there comes the situation that all the exist individual may not match to the demand as the adaptive value is less than 0, the extension transformation method is used to settle such problems. Thirdly, calculate the adaptive value of the transform individual again, the final result could be obtained. At last, a configurable layout design example for logistics enterprise is provided which shows that the adaptive design method achieves intelligent configuration in adaptive environment with significant rapidity and variety.
Keywords :
adaptive systems; customer satisfaction; functional analysis; logistics; product customisation; product design; adaptive function; extension adaptive method; layout design; logistics enterprise; modular technology; Best practices; Costs; Cybernetics; Design methodology; Educational institutions; Environmental economics; IEEE products; Logistics; Machine learning; Product design; Adaptive function; Configuration design; Extension judgment; Extension transformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212181
Filename :
5212181
Link To Document :
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