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Cooperative fuzzy games approach to setting target levels of ECs in quality function deployment.

Yang Z, Chen Y, Yin Y - ScientificWorldJournal (2014)

Bottom Line: QFD is a breakthrough tool which can effectively reduce the gap between CRs and a new product/service.The solution for the proposed model is Pareto-optimal.An illustrated example is cited to demonstrate the application and performance of the proposed approach.

View Article: PubMed Central - PubMed

Affiliation: School of Management, Shanghai University, Shanghai 200444, China ; College of Sciences, East China Institute of Technology, Nanchang, Jiangxi 330013, China.

ABSTRACT
Quality function deployment (QFD) can provide a means of translating customer requirements (CRs) into engineering characteristics (ECs) for each stage of product development and production. The main objective of QFD-based product planning is to determine the target levels of ECs for a new product or service. QFD is a breakthrough tool which can effectively reduce the gap between CRs and a new product/service. Even though there are conflicts among some ECs, the objective of developing new product is to maximize the overall customer satisfaction. Therefore, there may be room for cooperation among ECs. A cooperative game framework combined with fuzzy set theory is developed to determine the target levels of the ECs in QFD. The key to develop the model is the formulation of the bargaining function. In the proposed methodology, the players are viewed as the membership functions of ECs to formulate the bargaining function. The solution for the proposed model is Pareto-optimal. An illustrated example is cited to demonstrate the application and performance of the proposed approach.

Show MeSH
Membership of the five ECs with different value of “p.”
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig2: Membership of the five ECs with different value of “p.”

Mentions: Combined the formulas (16), (18), and (20), the solution for the cooperative fuzzy game models (17a), (17b), and (17c) with different value of the parameter “p” is tabulated as Table 5. From Table 5 and Figure 2, it can be seen that the total cost is still 75, but the varying of the parameter “p” can facilitate the good performance in one EC to compensate for poor performance in other ECs slightly.


Cooperative fuzzy games approach to setting target levels of ECs in quality function deployment.

Yang Z, Chen Y, Yin Y - ScientificWorldJournal (2014)

Membership of the five ECs with different value of “p.”
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4109369&req=5

fig2: Membership of the five ECs with different value of “p.”
Mentions: Combined the formulas (16), (18), and (20), the solution for the cooperative fuzzy game models (17a), (17b), and (17c) with different value of the parameter “p” is tabulated as Table 5. From Table 5 and Figure 2, it can be seen that the total cost is still 75, but the varying of the parameter “p” can facilitate the good performance in one EC to compensate for poor performance in other ECs slightly.

Bottom Line: QFD is a breakthrough tool which can effectively reduce the gap between CRs and a new product/service.The solution for the proposed model is Pareto-optimal.An illustrated example is cited to demonstrate the application and performance of the proposed approach.

View Article: PubMed Central - PubMed

Affiliation: School of Management, Shanghai University, Shanghai 200444, China ; College of Sciences, East China Institute of Technology, Nanchang, Jiangxi 330013, China.

ABSTRACT
Quality function deployment (QFD) can provide a means of translating customer requirements (CRs) into engineering characteristics (ECs) for each stage of product development and production. The main objective of QFD-based product planning is to determine the target levels of ECs for a new product or service. QFD is a breakthrough tool which can effectively reduce the gap between CRs and a new product/service. Even though there are conflicts among some ECs, the objective of developing new product is to maximize the overall customer satisfaction. Therefore, there may be room for cooperation among ECs. A cooperative game framework combined with fuzzy set theory is developed to determine the target levels of the ECs in QFD. The key to develop the model is the formulation of the bargaining function. In the proposed methodology, the players are viewed as the membership functions of ECs to formulate the bargaining function. The solution for the proposed model is Pareto-optimal. An illustrated example is cited to demonstrate the application and performance of the proposed approach.

Show MeSH