Construction of house of quality for new product planning: A 2-tuple fuzzy linguistic approach

• A house of quality model is proposed by using the 2-tuple fuzzy linguistic approach for new product planning (NPP).
• A 2-tuple fuzzy Delphi method is proposed to determine the scores of the customer requirements (CRs).
• A modified relationship between CRs and design requirements (DRs) is proposed to determine the ratings of DRs.
• Based on the ratings of DRs, NPP team could effectively allocate DR resources to satisfy the CRs.

A house of quality (HOQ) diagram is used to analyze the critical factors involved in the quality function deployment (QFD) processes for the new product planning (NPP). The principal tasks of the QFD acting process comprise describing and scoring customer requirements (CRs); determining design requirements (DRs), the relationship between CRs and DRs, the correlations among CRs, and the correlations among DRs. Finally, the DRs can be scored by these assessments in NPP. This study proposes various methods of scoring the requirements of current and potential customers to reflect the knowledge and preference differences among different customers regarding CRs. The CR scores provided by different customers can be assessed by using linguistic, numerical, and interval values, or can be assessed using linguistic label sets with different granularity. A 2-tuple fuzzy linguistic computational approach is adopted to aggregate the CR importance scores obtained from customers by using various methods. In addition, to accurately rate the DRs, a modified relationship between CRs and DRs is proposed. The proposed HOQ construction model is practical because it prevents the loss of information during the QFD process for NPP. An example is used to demonstrate the applicability of the proposed model.