Author:
Chen Zhe,Zhong Peisi,Liu Mei,Ma Qing,Si Guangyao
Abstract
AbstractExpert weight determination is a critical issue in the design concept evaluation process, especially for complex products. However, this phase is often ignored by most decision makers. For the evaluation of complex product design concepts, experts are selected by clusters with different backgrounds. This work proposes a novel integrated two-layer method to determine expert weight under these circumstances. In the first layer, a hybrid model integrated by the entropy weight model and the Multiplicative analytical hierarchy process method is presented. In the second layer, a minimized variance model is applied to reach a consensus. Then the final expert weight is determined by the results of both layers. A real-life example of cruise ship cabin design evaluation is implemented to demonstrate the proposed expert weight determination method. To analyze the feasibility of the proposed method, weight determination with and without using experts is compared. The result shows the expert weight determination method is an effective approach to improve the accuracy of design concept evaluation.
Funder
Culture and Tourism Research Project of Shandong Province, China
The Key Research and Development Plan of Shandong Province, China
Natural Science Foundation of Shandong Province, China
High-tech Ship project of the Ministry of Industry and Information Technology, China
Publisher
Springer Science and Business Media LLC
Reference63 articles.
1. Song, W., Ming, X. & Wu, Z. An integrated rough number-based approach to design concept evaluation under subjective environments. J. Eng. Des. 24, 320–341 (2013).
2. Herbeth, N. & Dessalles, S. Brand and design effects on new product evaluation at the concept stage. Int. J. Trends Market. Manag. 2, 2 (2017).
3. Zheng, X., Ritter, S. & Miller, S. How concept selection tools impact the development of creative ideas in engineering design education. J. Mech. Des. 2, 2 (2018).
4. Geng, X., Chu, X. & Zhang, Z. A new integrated design concept evaluation approach based on vague sets. Expert Syst. Appl. 37, 6629–6638 (2010).
5. Kabak, Ö. & Ervural, B. Multiple attribute group decision making: A generic conceptual framework and a classification scheme. Knowl.-Based Syst. 123, 13–30 (2017).
Cited by
24 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献