An Application of the Fuzzy Delphi Method and Fuzzy AHP on the Discussion of Training Indicators for the Regional Competition, Taiwan National Skills Competition, in the Trade of Joinery

• Published in: Sustainability Vol. 12; no. 10; p. 4290
• Main Authors: Tsai, Hao-Chang, Lee, An-Sheng, Lee, Huang-Ning, Chen, Chien-Nan, Liu, Yu-Chun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2020
• Subjects: Design; Medals; Skills; Sustainability; Training; Trends; Vocational education; Taiwan
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su12104290

The importance of vocational training and capacity assessment has grown since the 1980s. Vocational education is an important foundation for societal and economic development. Therefore, it is crucial to develop vocational training and education that meet the demands of the labor market. Modern industrial structure is different from that of the past, creating an imbalance in the supply and demand of the labor force. The purpose of the Skills Competition (the collective term for the regional competition under the Taiwan National Skills Competition in this research) is to encourage the young generation to participate in vocational education and training, thereby further improving the effect and efficiency of learning and training. In order to develop suitable indicators for the joinery trade of the regional competition, Taiwan National Skills Competition (hereinafter referred to as the Regional Competition), we first identify the level of importance of each indicator. Firstly, this study formed a hierarchical structure via the fuzzy Delphi method (FDM) with six training indicators (drawings, internal and external joints, assembly, measurements, finishing and appearance, and application of materials), and 27 sub-indicators were developed on the basis of these six major indicators. Secondly, in order to develop suitable training indicators for the joinery trade of the Regional Competition, the fuzzy analytic hierarchy process (fuzzy AHP) was adopted to seek the relative weight value of each indicator by assessing subjects through a paired-comparison. The results show that, among the six indicators, the relative weight value of measurements was the highest, followed by finishing and appearance and drawings. The indicators with higher relative weight value, such as measurement and finishing and appearance, should be paid more attention during the training processes. It is hoped that these results be presented to the trainers or instructors of training institutions or vocational schools as a reference to improve their training models, strategies, and quality.