A systematic methodology to deal with the dynamics of customer needs in Quality Function Deployment

Raharjo, Hendry; Xie, Min; Brombacher, Aarnout

doi:10.1016/j.eswa.2010.09.021

Cited by 47 publications

(37 citation statements)

References 37 publications

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“…To do this, a normalization process is usually applied by QFD researchers and practitioners. In the literature, the normalization model proposed by Wasserman [3] has been widely adopted (e.g., [6,7,9,10,13,[15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]). Based on Lyman's normalization concept [30], this model is developed by incorporating the correlations among DRs, formulated as…”

Section: Introductionmentioning

confidence: 99%

A QFD-Based Mathematical Model for New Product Development Considering the Target Market Segment

Chen

2014

Journal of Applied Mathematics

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Responding to customer needs is important for business success. Quality function deployment provides systematic procedures for converting customer needs into technical requirements to ensure maximum customer satisfaction. The existing literature mainly focuses on the achievement of maximum customer satisfaction under a budgetary limit via mathematical models. The market goal of the new product for the target market segment is usually ignored. In this study, the proposed approach thus considers the target customer satisfaction degree for the target market segment in the model by formulating the overall customer satisfaction as a function of the quality level. In addition, the proposed approach emphasizes the cost-effectiveness concept in the design stage via the achievement of the target customer satisfaction degree using the minimal total cost. A numerical example is used to demonstrate the applicability of the proposed approach and its characteristics are discussed.

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Section: Introductionmentioning

confidence: 99%

A QFD-Based Mathematical Model for New Product Development Considering the Target Market Segment

Chen

2014

Journal of Applied Mathematics

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“…In their methodology, MILP model and the Kano model are combined to address the product improvement problem considering the interdependencies. Raharjo et al (2011) challenge one of the simple, but less seen problems in QFD. They deal with the possibility of changes in CNs.…”

Section: Application Of Decision Methods In Qfdmentioning

confidence: 99%

A hybrid QFD-based approach in addressing supplier selection problem in product improvement process

Asadabadi¹

2014

10.5267/j.ijiec

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This paper is about creating a hybrid QFD-based approach in which the best supplier is selected considering changing customer needs. In most previous studies employing a QFD approach, the possibility of changing customer needs is ignored. On the other hand, supplier selection is a challenging problem that could have been addressed by such a QFD. This paper attempts to create a hybrid QFD-based approach in which the internal relations between the elements are considered. It connects the new QFD to suppliers' qualifications to create a hybrid supplier selection process. The best suppliers are selected based on the priorities of customer needs for each level of the product improvement plan. When a product is to be developed, the proposed methodology seems to create an efficient solution for supplier selection problem with respect to quality factors.

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“…Nahm et al 12 developed two sets of new rating method including customer preference rating method and customer satisfaction rating method, which improved customer satisfaction. As the dynamic of customer needs during product develop process, Raharjo et al 13 proposed a method to deal with customer needs' dynamic in QFD. Lo et al…”

Section: Customer Requirementsmentioning

confidence: 99%

Customer requirement acquisition system and requirement expression guidance based on ant colony optimization

Yang

Jiao

Song

et al. 2017

Advances in Mechanical Engineering

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Customer requirement is a crucial factor for a company to provide customized products. In order to better acquire customer requirements and instruct customers to express their requirements, customer requirement acquisition system is proposed in this article. First, requirement node and the form of requirement expression are constructed as the base of this system. Customer requirements are transformed into the description of requirement nodes. The form of requirement expression limits specific method of describing requirement nodes avoiding ambiguous requirements. Then, requirement expression guidance is proposed to rational plan expression path. Optimal expression path is beneficial for customer to concentrate on significant requirement nodes. Ant colony optimization is used to search for it. As a result, complete and clear customer requirements are acquired and the focus of customer requirements is recognized, which improves the design efficiency of enterprises. Finally, an example of automated guided vehicle is used to illustrate the validity of the proposed method.

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A systematic methodology to deal with the dynamics of customer needs in Quality Function Deployment

Cited by 47 publications

References 37 publications

A QFD-Based Mathematical Model for New Product Development Considering the Target Market Segment

A QFD-Based Mathematical Model for New Product Development Considering the Target Market Segment

A hybrid QFD-based approach in addressing supplier selection problem in product improvement process

Customer requirement acquisition system and requirement expression guidance based on ant colony optimization

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