DocumentCode :
2337673
Title :
Development of KM-based AHP method and auxiliary web questionnaire system for multi-criteria decision-making application
Author :
Tsai, Jopeng ; Cheng, Hsinyu ; Kao, Yungchou
fYear :
2012
fDate :
3-5 June 2012
Firstpage :
485
Lastpage :
489
Abstract :
The analytic hierarchy process (AHP) method has be proposed and popularly applied in many disciplines over three decades. In the same time, many scholars also suggested various improved methods to enhance the decision quality. For the more delicate decision-making, it is necessary to provide more accurate and abundant reference information for the decision-maker. However, traditional AHP related questionnaires are insufficient for providing enough information and a friendly environment. In this paper, we proposed a KM-based AHP decision-making method to provide the questionnaire designer a guideline or reference and developed an auxiliary web questionnaire system based on this method. A case study of selecting a machine center was illustrated the implementation and applicability of this method, a mold manufacturing company was invited as the survey objective. This method proposed in this research is general in form and can be applied to the other multi-criteria decision making cases.
Keywords :
Internet; decision making; knowledge management; machine tools; manufacturing industries; moulding equipment; operations research; AHP method; KM-based AHP method; analytic hierarchy process method; auxiliary Web questionnaire system; decision quality; machine center selection; multicriteria decision-making application; Companies; Computational modeling; Data analysis; Decision making; Internet; Knowledge acquisition; Robots; Analytic Hierarchy Process (AHP); Knowledge Chain; Machine Tool; Multi-Criteria Decision Making;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Applications (ISRA), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2205-8
Type :
conf
DOI :
10.1109/ISRA.2012.6219230
Filename :
6219230
Link To Document :
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