Quality Function Deployment in New Product Development

Author(s):  
Samah Abu-Assab
Author(s):  
Amir Mirzadeh Phirouzabadi

Nowadays,improving the quality of products, reducing cost and meeting customer’srequirements are necessary to shorten the time of new product development(NPD). NPD is used to describe the complete process of bringing a new product to market and conceptual design process(CDP) is at its early stage and has mostly changed from passive respond toaggressive one. Thus, this study proposed a practical method for CDP in NPDthrough three phases as Converting customers’ requirements to product specifications,Generating and selecting of concepts and Testing and finalizing the concepts byusing some different management-engineering techniques. Firstly, this papertried to prioritize customer’s requirements related to product by AHP (AnalyticHierarchy Process) and convert them to engineering parameters of TRIZ (Theoryof Inventive Problem Solving) in order to define the inventive principals.Next, based on QFD (Quality Function Deployment), we measured the weight valuesof inventive principals. Finally, as FMEA (Failure Mode and Effect Analysis)can analyze the weight values and reduce the sequential risk, then finalconceptual design was generated. At the end, a medical glasses was used as acase study of innovative design to validate the method and explain how thestrategies of this research for CDP.


2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Ming Li ◽  
Jie Zhang

Online reviews are crucial to any online business that wants to increase sales on the Internet. Customer reviews have information about product attributes, customer requirements (CRs), and shopping experience; mining reviews provide the direction of decision-making for new product development and design (NPDD). Besides, the information of customer preference has vagueness and uncertainty, and the accuracy of decision-making information directly affects the success of NPDD. This paper proposed a methodology that integrates the Kano model (KM), analytic hierarchy process (AHP), and quality function deployment (QFD) methods with intuitionistic fuzzy set (IFS) to solve decision-making problems in NPDD. By the new method, the web crawler technology was first applied to e-commerce web sites to collect raw data, and the representative CRs were extracted through combining LDA model with Apriori algorithm. Second, the intuitionistic fuzzy Kano model (IFKM) is proposed to evaluate adjustment coefficient of CRs and Kano categories via customer preference membership functions. Thirdly, overall weights which contained emotional needs (ENs) and functional needs (FNs) are obtained via intuitionistic fuzzy analytic hierarchy process (IFAHP); thus, the adjusted weights are calculated from IFKM and IFAHP. Next, the intuitionistic fuzzy quality function deployment (IFQFD) is proposed to acquire engineering characteristics (ECs) of weights through combining competition benchmarks and based on technical benchmarks to make goals for a company’s NPDD. Finally, the method was applied to study vertical-configured air conditioner (VAC) as an example. The results showed that the application of text mining and IFS to improve CS is both reliable and scientific.


Author(s):  
Thomas Y. Lee

The first step in product design and development involves concept generation. Concept generation involves identifying customer needs and then mapping those needs onto a set of product attributes (specifications). Traditional methods for concept generation involve focus groups, surveys, and anthropological studies to assess user needs. Techniques, like Quality Function Deployment (QFD), then guide designers in relating needs to explicit product specifications. In this paper, we propose to augment traditional methods for concept generation by automatically processing user generated online product reviews. We apply adaptive text extraction methods to automatically learn user needs and product attributes. Association rule mining is used to learn the mapping between needs and attributes. We summarize results from prior work for independently learning user needs and attribute specifications from product reviews and then discuss the application of these methods to concept generation for new product development.


Author(s):  
Chien-Wen Hung

In the process of new product development, the customer's feeling is usually fuzzy phenomenon, how to evaluate various factors is to test the developer's intelligence, this study takes the new product development process as the research object, and applies the Quality Function expansion (QFD) method to establish a decision support system with fuzzy processing ability. In this study, the first development of quality function expansion (QFD) applied to Customer voice collection and analysis and conversion to product specifications. Then, the integration of fuzzy theory and the provision of different commodity development solutions as the best choice for products.


2018 ◽  
Vol 10 (9) ◽  
pp. 3204 ◽  
Author(s):  
Marjan Leber ◽  
Andrea Ivanišević ◽  
Jelena Borocki ◽  
Mladen Radišić ◽  
Beata Ślusarczyk

Our paper analyzes close collaboration between a manufacturer of domestic appliances and consumer electronics and its customers. It reflects on the inclusion of open innovation by users that is presented in the paper on the case of the development of the refrigerator door handle, with an emphasis on design and functionality. The main research question we wanted to answer was whether a buyer (customer/consumer) might actively participate in the process of a new product development. It was interesting to test it in a highly dynamic industry setup since white goods are becoming an integral part of consumers’ life style and not just a mere home appliances used for routine housekeeping tasks. Research sample includes 146 respondents. We applied the conjoint analysis and quality function deployment (QFD) in order to test and understand how customers perceive the different attributes of a new product development process.


2021 ◽  
Vol 7 (2) ◽  
pp. 153
Author(s):  
Muhammad Iqbal ◽  
Amalia Suzianti

New product development (NPD) is essential for large, as well as small and medium, enterprises (SMEs). Despite its importance for the economy, challenges remain in the NPD in SMEs. Product success is related with the NPD process, so it is important for SMEs to be able to design their NPD process. This paper aims to identify SME’s NPD research topics, the characteristics of the NPD process in SMEs, and important aspects to be considered for NPD process design. The literature review is done with the analysis of 99 selected academic articles from Scopus and ScienceDirect. Content analysis, bibliographic analysis, and clustering method (based on Pearson’s correlation coefficient) are used to conduct the identification. Less-formal processes, informal strategic planning, limited resources, need technology support, and lack of capabilities in certain fields are some of the characteristics of SME’s NPD. Collaborative product development, competitive advantage, information and communication technology (ICT), concurrent engineering, quality function deployment, and continuous improvement are important keywords based on previous research in SME’s NPD. Design activities in NPD, collaboration and source of innovation, and process modelling, tools, and techniques appear to be important aspects related with the SME’s NPD process.


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