scholarly journals Evaluation of Product Design Analyses for the Identification of Perception-Defining Characteristics

2015 ◽  
Vol 6 (2) ◽  
pp. 45-55 ◽  
Author(s):  
Falk Steinberg ◽  
Ralf Woll

Abstract In most cases, customers evaluate a product based on the first impression, which is propagated by the product itself. These impressions are often subjectively engraved in the products, difficult to describe thus making them difficult to handle. Technical specifications on the other hand are less considered at first sight. In the case of leisure products such as Motorbikes (motorcycles), subjective factors are considerably intensified. Thus, such products are suitable to describe as “difficult-to-quantify” characteristics. Subjective and difficult to quantify features for products such as motorcycles could be; the design, the dynamics (vitality) as well as the price (value) impression. Thus, amid a DFG research project, a method will have to be developed that allows the scaling of difficult to quantify characteristics in other to support a requirement-orientated product development. For this purpose, four different levels were developed to contain scaling based on usage. To support the scaling development, methods such as the AHP or the Multivariate Analysis Method can be used. In the following analysis it will be shown how perception-defining characteristics for motorcycles can be derived from design analyses. The first step is the design analyses conducted with the help of the analytic hierarchy process (AHP) scale based on Thomas L. Saaty. The advantage of this approach is a direct comparison of all alternatives to themselves. If, for example, five motorcycles are compared with regards to design, then a benchmark for good design implicitly arises. These scales build up dynamically depending on the analyzed alternatives. Based on the previous example, the more alternatives are used the more valid the scale. The systematic arrangement of the perception-defining characteristics in product development can be a deciding factor for a better product design and its related product perception. Special gender specific perception differences for motorcycles will be evaluated in this paper. Thus, it is shown that there are specific motorcycle models that appeal to women while other specific models are preferred by men. In this case, perception-defining characteristics can be derived from a detail analysis of a preliminary assessment which can aid the description of female and male preferences for motorcycles. In this paper a method to concatenate the perception-defining characteristics and products will be presented. Above all, these characteristics should be considered in the product planning phase. This approach offers producers the possibility, through identification of important perception-defining characteristics, to differentiate themselves from competitors because important product characteristics are deigned to relate to the various target groups.

2013 ◽  
Vol 690-693 ◽  
pp. 3453-3456 ◽  
Author(s):  
Ruo Yu Liang ◽  
Dong Xiang Chen ◽  
Tai Yong Wang ◽  
Xue Zhang ◽  
Kai Fa Wu ◽  
...  

According to the related concepts and theory of Kansei Engineering (KE), this paper kansei analyzed the shape of household scales by using AHP (analytic hierarchy process), aiming to conclude the relation between emotional intention and design considerations, and sequentially to provide significant design basis and references for product development. Mathematical methods, such as statistics, were applied to this study, which provided a fresh idea for the early stage research of product design.


2020 ◽  
Vol 26 (5) ◽  
pp. 895-909
Author(s):  
Wei Liu ◽  
Zicheng Zhu ◽  
Songhe Ye

Purpose The decision-making for additive manufacturing (AM) process selection is typically applied in the end of the product design stages based upon an already finished design. However, due to unique characteristics of AM processes, the part needs to be designed for the specific AM process. This requires potentially feasible AM techniques to be identified in early design stages. This paper aims to develop such a decision-making methodology that can seamlessly be integrated in the product design stages to facilitate AM process selection and assist product/part design. Design/methodology/approach The decision-making methodology consists of four elements, namely, initial screening, technical evaluation and selection of feasible AM processes, re-evaluation of the feasible process and production machine selection. Prior to the design phase, the methodology determines whether AM production is suitable based on the given design requirements. As the design progresses, a more accurate process selection in terms of technical and economic viability is performed using the analytic hierarchy process technique. Features that would cause potential manufacturability issues and increased production costs will be identified and modified. Finally, a production machine that is best suited for the finished product design is identified. Findings The methodology was found to be able to facilitate the design process by enabling designers to identify appropriate AM technique and production machine, which was demonstrated in the case study. Originality/value This study addresses the gap between the isolated product design and process selection stages by developing the decision-making methodology that can be integrated in product design stages.


10.5772/56816 ◽  
2013 ◽  
Vol 5 ◽  
pp. 42 ◽  
Author(s):  
Elisa Battistoni ◽  
Andrea Fronzetti Colladon ◽  
Laura Scarabotti ◽  
Massimiliano M. Schiraldi

The success of a New Product Development (NPD) process strongly depends on the deep comprehension of market needs and Analytic Hierarchy Process (AHP) has been commonly used to find weights for customers' preferences. AHP best practices suggest that low-consistency respondents should be considered untrustworthy; however, in some NPD cases – such as the one presented here – this stake can be extremely big. This paper deals with the usage of AHP methodology to define the weights of customer needs connected to the NPD process of a typical impulse buying good, a snack. The aim of the paper is to analyse in a critical way the opportunity to exclude or include non-consistent respondents in market analysis, addressing the following question: should a non-consistent potential customer be excluded from the analysis due to his inconsistency or should he be included because, after all, he is still a potential consumer? The chosen methodological approach focuses on evaluating the compatibility of weight vectors among different subsets of respondents, filtered according to their consistency level. Results surprisingly show that weights do not significantly change when non-consistent respondents are excluded.


2011 ◽  
Vol 9 (2) ◽  
pp. 157-162
Author(s):  
Valério Antonio Pamplona Salomon ◽  
Sandra Miranda Neves ◽  
Jefferson Olegário de Paula ◽  
Marcos Rolando Piccilli ◽  
Carlos Eduardo Sanches da Silva

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):  
Yueran WANG ◽  
Hao YANG

Interdisciplinary research methods bring about more opportunities for designers to understand the users and predict some problems that hard to clarify by traditional methods. This study takes product design of the elder-friendly low-speed vehicles as an example, discussing the rationality of some quantitative methods introduced from other fields. The collected data include the subjects’ operations’ finishing time and finger moving times. By means of multiple linear regression and logistic regression, senior people’s driving behavioral model is built to clarify their operational characteristics. According to the results, a prototype design is proposed and then assessed by analytic hierarchy process. The set of feasible methods used in the research process is sorted out for solving other similar issues targeting relative product design.


2012 ◽  
Vol 490-495 ◽  
pp. 2022-2026
Author(s):  
Pu Hong Li ◽  
Li Na Yang

Traditional evaluation methods of industrial design are more qualitative and hard to be applied to product development. Quantitative methods centralize the fuzzy evaluation. In this paper, an improved analytic hierarchy process (IAHP) is applied to evaluate industrial design, whose mathematical model and steps are described detailed. At last, an intelligent home service is used in a case of industrial design evaluation to explain the IAHP. This method can be improved to guarantee the accuracy of the evaluation results, but also be benefit for the implementation and outspread of product design.


Sign in / Sign up

Export Citation Format

Share Document