Determining the Importance Ratings of Customer Requirements of Automotive Clutch Based on Quality Function Deployment

Xie, Maoqing; Jiang, Qiangqiang; Cheng, Weiping; Ma, Xu-Xu

doi:10.12783/dtetr/mdm2016/4932

Cited by 2 publications

(5 citation statements)

References 5 publications

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“…The number of qualitative and environmental criteria is unrestricted. According to the authors of [33,[36][37][38], it is beneficial to select a total of approximately 14-25 criteria (attributes). According to [34,36], the fewer criteria, the better.…”

Section: Stage 3 Selection Of Criteriamentioning

confidence: 99%

“…According to the authors of [33,[36][37][38], it is beneficial to select a total of approximately 14-25 criteria (attributes). According to [34,36], the fewer criteria, the better. The choice of criteria can be done during brainstorming (BM) and using product catalogues [39].…”

Section: Stage 3 Selection Of Criteriamentioning

confidence: 99%

“…The maximum total number of qualitative and environmental criteria (attributes) of the product was 15 [33,34,[36][37][38]].…”

mentioning

confidence: 99%

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Model Supporting Development Decisions by Considering Qualitative–Environmental Aspects

Siwiec

Pacana

2021

Sustainability

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Dynamic changes in customers’ expectations and unfavorable climate changes have generated the need to consider such aspects in the process of creating new products and the modernization of existing products. Simultaneously including customers’ expectations and environmental impact is a key element of the sustainable development of products. Enterprises attempt, within their awareness and possibilities, to apply the idea of sustainability; they do this more or less methodically. As such, an instrument to support decision-making in the area of product development is still needed because it would both be desirable for customers and have less of a negative effect on the natural environment. The purpose of this study was to develop a model that supports decision-making in the development of products while considering sustainability. The model determines the key criteria of the product, criteria states (current and future), and their positive correlations (e.g., achieving high levels of product quality and no (or a reduction in) destructive impact on the environment). To reduce the fuzzy decision-making environment, multiplicative decision methods with the fuzzy Saaty scale were implemented. These methods were the fuzzy analytic hierarchy process (FAHP) and the fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS). The model is able to support qualitative–environment decisions in the development of any product.

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Section: Stage 3 Selection Of Criteriamentioning

confidence: 99%

Section: Stage 3 Selection Of Criteriamentioning

confidence: 99%

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Model Supporting Development Decisions by Considering Qualitative–Environmental Aspects

Siwiec

Pacana

2021

Sustainability

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“…The two types of data sources for obtaining the importance of customer requirements directly are as follows: the first type is provided by customers (Li et al, 2018;Zheng et al, 2019), and the other one is disclosed by experts in a certain industry (Kong and Hao, 2001;Xie et al, 2016).…”

Section: Data Sources For Obtaining the Importance Of Customer Requirementsmentioning

confidence: 99%

“…Experts include product designers, lead users of the product, product maintenance personnel and industry experts who can indicate the importance of customer requirements from the point of view of product design (Xie et al, 2016).…”

Section: Data Sources For Obtaining the Importance Of Customer Requirementsmentioning

confidence: 99%

Importance Calculation of Customer Requirements for Incremental Product Innovation

Geng

Shi

et al. 2021

Front. Psychol.

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Incremental product innovation is achieved by finding and solving problems of existing products. The importance of customer requirements reflects the severity of existing product problems, which points out the direction for incremental product innovation. In this research, the calculation process of customer requirement importance mainly includes three steps. Firstly, from the perspective of customers, the improvement gap analytical method is used to obtain the improvement and original importance of customer requirements by measuring customer perceived satisfaction and dissatisfaction. Secondly, from the perspective of industry experts, an improved interval grey number ranking method is proposed to calculate the basic importance of customer requirements, which can deal with the inadequate problem of the data provided by experts due to the limited number of experts. Finally, a multi-dimensional vector cosine method, which avoids the interference of subjectivity of importance weight calculation to the final importance, is proposed to integrate the importance data provided by customers and experts. A case of a water purifier is considered to illustrate the validity of the proposed process. This research improves existing calculation methods and proposes an integrated calculation process from three dimensions to calculate the final importance of customer requirements effectively.

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Determining the Importance Ratings of Customer Requirements of Automotive Clutch Based on Quality Function Deployment

Cited by 2 publications

References 5 publications

Model Supporting Development Decisions by Considering Qualitative–Environmental Aspects

Model Supporting Development Decisions by Considering Qualitative–Environmental Aspects

Importance Calculation of Customer Requirements for Incremental Product Innovation

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