scholarly journals Rough Kansei Mining Model for Market-Oriented Product Design

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Esra Akgül ◽  
Mihrimah Özmen ◽  
Cem Sinanoğlu ◽  
Emel Kizilkaya Aydoğan

Companies need to develop new products towards customer's satisfaction in order to survive in the boom and bust cycle in todays’ economy. The capturing of customer satisfaction depends on customer needs, and generally, understanding emotions has a challenge for designers. Kansei engineering is a type of methodology to help customers and designers analyze needs and emotion for the new product development. Producing new product design with Kansei data increases customer satisfaction and helps to reach market goals. In this study, a market-oriented baby cradle design methodology is proposed, and we obtain the new product strategies with association rule extraction by using rough set theory. To obtain efficient rules, beforehand we selected sales knowledge-related Kansei words with our proposed approach: cost-based and multiclass decision-theoretic rough set (DTRS) attribute reduction. The new product design strategies which are obtained with proposed design methodology are consistent with customer expectations (mood space) and expert opinions (design team).

2012 ◽  
Vol 21 (3) ◽  
pp. 356-371 ◽  
Author(s):  
Xuemei Zhang ◽  
Xiaoyan Xu ◽  
Ping He

Author(s):  
Ching-Shin Shiau ◽  
Jeremy J. Michalek

Engineering optimization methods for new product development model consumer demand as a function of product attributes and price in order to identify designs that maximize expected profit. However, prior approaches have ignored the ability of competitors to react to a new product entrant; thus these methods can overestimate expected profit and select suboptimal designs that perform poorly in a competitive market. We propose an efficient approach to new product design accounting for competitor pricing reactions by imposing Nash and Stackelberg conditions as constraints, and we test the method on three product design case studies from the marketing and engineering design literature. We find that a Stackelberg leader strategy generates higher profit than a Nash strategy. Both strategies are superior to ignoring competitor reactions: In our case studies, ignoring price competition results in overestimation of profits by 12%–79%, and accounting for price competition increases realized profits by up to 3.4%. The efficiency, convergence stability, and ease of implementation of the proposed approach enables practical implementation for new product design problems in competitive markets.


2009 ◽  
Vol 131 (7) ◽  
Author(s):  
Ching-Shin Norman Shiau ◽  
Jeremy J. Michalek

Engineering optimization methods for new product development model consumer demand as a function of product attributes and price in order to identify designs that maximize expected profit. However, prior approaches have ignored the ability of competitors to react to a new product entrant. We pose an approach to new product design accounting for competitor pricing reactions by imposing Nash and Stackelberg conditions as constraints, and we test the method on three product design case studies from the marketing and engineering design literature. We find that new product design under Stackelberg and Nash equilibrium cases are superior to ignoring competitor reactions. In our case studies, ignoring price competition results in suboptimal design and overestimation of profits by 12–79%, and we find that a product that would perform well in today’s market may perform poorly in the market that the new product will create. The efficiency, convergence stability, and ease of implementation of the proposed approach enable practical implementation for new product design problems in competitive market systems.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marina Fernandes Aguiar ◽  
Jaime A. Mesa ◽  
Daniel Jugend ◽  
Marco Antonio Paula Pinheiro ◽  
Paula Paula De Camargo Fiorini

PurposeAlthough product design is a fundamental element in the transition towards the circular economy, the knowledge of practices, methods and tools oriented to circular product design has not been widely developed. This study aims to contribute to the circular economy research area by investigating and analyzing the main design approaches to circular products and their relationship to new product development.Design/methodology/approachThe authors conducted a systematic review and qualitative analysis of 120 articles. In these studies, the authors analyzed aspects such as design strategies used, the barriers to the adoption of circular product design and the relationships between the phases of new product development processes with circular product design studies.FindingsThe findings revealed that the circular product design approach has added new design strategies to those already recommended by ecodesign, such as multiple use cycles, emotional durability and biomimicry. Furthermore, the results showed that most circular product design articles focus on the planning and concept development phases of the new product development process.Originality/valueIn this article, the authors systematized the findings of an emergent research area: the development of new products for the circular economy. Its main contributions lie in the identification of design strategies, the classification of Design for X approaches, analysis of such approaches during the new product development process and discussion of their main barriers. Finally, this study presents contributions for managers and designers who are starting the transition to a circular strategy.


2021 ◽  
pp. 1-25
Author(s):  
Tianxiong Wang ◽  
Meiyu Zhou

When users choose a product, they consider the emotional experience triggered by the product form. In view of the fact that traditional kansei engineering can not effectively reflect the complex and changeable psychological factors of users, and it has not explored the complex relationship between customer satisfaction and perceptual demand characteristics through quantitative analysis. To address this problem, some uncertainty techniques including rough sets and fuzzy sets are applied to capture more accurate emotion knowledge. Therefore, this research proposes an integrated evaluation gird method (EGM), rough set theory (RST), continuous fuzzy kano model (CFKM), fuzzy weighted association rule mining method to extract the significant relationship between user needs and product morphological features. The EGM is applied to analyze the attractive factor of morphological characteristics of the product, and then the demand items with the highest satisfaction are analyzed through CFKM. The semantic difference method is combined to construct a decision table, and through attribute reduction and importance calculation to obtain the weight of the core product design items. In order to explore the non-linear relationship between design elements and kansei images, the fuzzy weighted association rule mining method was applied to obtain the set of frequent fuzzy weighted association rules based on evidence theory’s reliability indices of minimum support and confidence so as to realize user demand-driven product design. Taking the design of electric bicycle as an example, the experiment results show that the proposed method can help companies or designers develop products to generate good solutions for customer need.


Author(s):  
Yanfang Liu ◽  
Hong Zhao ◽  
William Zhu

Rough set is mainly concerned with the approximations of objects through an equivalence relation on a universe. Matroid is a generalization of linear algebra and graph theory. Recently, a matroidal structure of rough sets is established and applied to the problem of attribute reduction which is an important application of rough set theory. In this paper, we propose a new matroidal structure of rough sets and call it a parametric matroid. On the one hand, for an equivalence relation on a universe, a parametric set family, with any subset of the universe as its parameter, is defined through the lower approximation operator. This parametric set family is proved to satisfy the independent set axiom of matroids, therefore a matroid is generated, and we call it a parametric matroid of the rough set. Through the lower approximation operator, three equivalent representations of the parametric set family are obtained. Moreover, the parametric matroid of the rough set is proved to be the direct sum of a partition-circuit matroid and a free matroid. On the other hand, partition-circuit matroids are well studied through the lower approximation number, and then we use it to investigate the parametric matroid of the rough set. Several characteristics of the parametric matroid of the rough set, such as independent sets, bases, circuits, the rank function and the closure operator, are expressed by the lower approximation number.


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