Determination and Prioritization of Product Design Specifications with Kansei Engineering Approach : Case Study : Packing Designation of New Health Product of Firouz Health Group

2014 ◽  
Vol 3 (7) ◽  
pp. 153-169
Author(s):  
Mohammad Ali Zeynali ◽  
Gholamreza Hashemzadeh ◽  
Hessam Zandhessami
2013 ◽  
Vol 2013 ◽  
pp. 1-29 ◽  
Author(s):  
Haeryip Sihombing ◽  
M. Y. Yuhazri ◽  
S. H. Yahaya ◽  
Fevi Syaifoelida

The individuals possess unique ways of how they learn. Based on this perspective, each of individuals will approach the general learning experiences in a personal and individualized way related to his/her performance and behavior. This study is to analyze the characteristics of product design using Kansei Engineering approach towards the student learning style based on Felder and Soloman's theory. Using the 8 (eight) spectacles designs proposed comparing the emotional feeling towards design of product, the study involved 100 students who are using spectacles as the respondents. Focusing on the perception and input dimensions of the Felder-Soloman learning styles comprised in 22 questions and the Crane cognitive alert styles in 9 questions, the result of study shows that the students who are using spectacles are dominated by “the visual” type of Felder-Soloman learning styles. In addition, based on the using of Kansei Engineering, this study also found that the respondents tend to interpret the rimless design of spectacles as “fragile,” “unattractive,” “old-fashion” product, while the design with thicker frame as “durable,” “attractive,” cool,” “ergonomic” product. In this study, there are also the significant correlations proved against the preferences of product design based on quality affective (Kansei Engineering) using learning styles and cognitive alert styles.


2010 ◽  
Vol 9 (2) ◽  
pp. 67-79 ◽  
Author(s):  
Kjetil GRIMSAETH ◽  
Mayank GANGWAR ◽  
Bjørn BAGGERUD ◽  
Rakesh NARAIN

2012 ◽  
Vol 452-453 ◽  
pp. 437-440
Author(s):  
Min Huang ◽  
Hong Juan Qiao

Emotional design is one of the most important methods in modern product design. It was highlighted after Donald A. Norman published his book Emotional design: why we love (or hate) everyday things. Emotional design addresses people’s needs and hopes which is in the center of the development of product design and product technology. Due to the lack of strong theoretical basis and quantitative analysis, many products can’t reach the goal of their designers with Emotional feelings, nor can consumer’s emotional understandings be similar to the designers’ emotional expectations. This paper analyzes the concept of emotional design and some difficulties which designers must to be faced in their emotional designing works, discusses on product shape design according to emotional design. On this basis, the Kansei engineering and emotional design methods are described in details.


2015 ◽  
Vol 27 (3) ◽  
pp. 79-89
Author(s):  
J.O. Mahmud ◽  
S.A. Khor ◽  
M.S. Mohd Ismail ◽  
J. Mohd Taib ◽  
N.R. Ramlan ◽  
...  

2014 ◽  
Vol 1016 ◽  
pp. 365-369 ◽  
Author(s):  
Pedro Albuquerque ◽  
Pedro Gamboa ◽  
Miguel Silvestre

The present work describes an aircraft design methodology that uses the wingspan and its mean aerodynamic chord as main design parameters. In the implemented tool, low fidelity models have been developed for the aerodynamics, stability, propulsion, weight, balance and flight performance. A Fortran® routine that calculates the aircraft performance for the user defined mission and vehicle’s performance requirements has been developed. In order to demonstrate this methodology, the results for a case study using the design specifications of the Air Cargo Challenge 2013 are shown.


Author(s):  
Dipanjan D. Ghosh ◽  
Junghan Kim ◽  
Andrew Olewnik ◽  
Arun Lakshmanan ◽  
Kemper E. Lewis

One of the critical tasks in product design is to map information from the consumer space to the design space. Currently, this process is largely dependent on the designer to identify and map how psychological and consumer level factors relate to engineered product attributes. In this way current methodologies lack provision to test a designer’s cognitive reasoning and could therefore introduce bias while mapping from consumer to design space. Also, current dominant frameworks do not include user-product interaction data in design decision making and neither do they assist designers in understanding why a consumer has a particular perception about a product. This paper proposes a new framework — Cyber-Empathic Design — where user-product interaction data is acquired via embedded sensors in the products. To understand the motivations behind consumer perceptions, a network of latent constructs is used which forms a causal model framework. Structural Equation Modeling is used as the parameter estimation and hypothesis testing technique making the framework falsifiable in nature. To demonstrate the framework and demonstrate its effectiveness a case study of sensor integrated shoes is presented in this work, where two models are compared — one survey based and using the Cyber-Empathic framework model. It is shown that the Cyber-Empathic framework results in improved fit. The case study also demonstrates the technique to test a designers’ cognitive hypothesis.


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