Author:
Chen Zhe,Zhong Peisi,Liu Mei,Ma Qing,Si Guangyao
Abstract
AbstractDesign concept evaluation plays a significant role in new product development. Rough set based methods are regarded as effective evaluation techniques when facing a vague and uncertain environment and are widely used in product research and development. This paper proposed an improved rough-TOPSIS method, which aims to reduce the imprecision of design concept evaluation in two ways. First, the expert group for design concept evaluation is classified into three clusters: designers, manufacturers, and customers. The cluster weight is determined by roles in the assessment using a Multiplicative Analytic Hierarchy Process method. Second, the raw information collection method is improved with a 3-step process, and both design values and expert linguistic preferences are integrated into the rough decision matrix. The alternatives are then ranked with a rough-TOPSIS method with entropy criteria weight. A practical example is shown to demonstrate the method’s viability. The findings suggest that the proposed decision-making process is effective in product concept design evaluation.
Funder
Culture and Tourism Research Project of Shandong Province
Key Research and Development Plan of Shandong Province
Natural Science Foundation of Shandong Province
High-tech Ship project of the Ministry of Industry and Information Technology
Publisher
Springer Science and Business Media LLC
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