Robust Design on KANSEI of Product Satisfying Emotion and Preference of Target Customers Using Taguchi Method

2014 ◽  
Author(s):  
Hideki Aoyama ◽  
Yuka Kawamura ◽  
Tetsuo Oya
Keyword(s):  
Taguchi Method ◽  
Robust Design ◽  
Design Method ◽  
Target Level ◽  
Form Design ◽  
Manufacturing Technologies ◽  
Product Forms

It has been difficult to make product differentiations from standpoints on function and quality because each manufacturer has had the same level of manufacturing technologies. In order to provide attractive products for customers, it is essential to product emotional products satisfying a specified target level of KANSEI and preference of restricted customers. Taguchi method is effective for robust design of product functions but it is uncertain for design of product forms. In this paper, Taguchi method is applied for robust form design satisfying a specified KANSEI and preference of restricted customers by proposing and introducing the original S/N ratio. The effectiveness of the proposed form design method is verified by experiments based on questionnaires.

Coupling of Packaging Efficiency and Aesthetic Shapes for PET Bottles

2012 ◽  
Author(s):  
Khusnun Widiyati ◽  
Hideki Aoyama
Keyword(s):  
Taguchi Method ◽  
Cross Section ◽  
Robust Design ◽  
Design Method ◽  
Pet Bottles ◽  
Product Image ◽  
Packaging Efficiency ◽  
Robust Design Method

The purpose of this research is to develop a system for evaluating product shape, from the viewpoint of aesthetics and packaging. In the previous work, we developed a robust design method to generate a product image based on customers’ feelings, and we quantitatively evaluated the shape based on the principles of the Taguchi method. The underlying idea is that an attractive product with an aesthetically pleasing shape should enable efficient packaging. In this paper, we analyze the packaging efficiency of three different cross-section shapes (circle, square and rectangle) of an aesthetic PET bottle. The packaging efficiency is evaluated based on comparing the space required to contain bottles with the space available in the packaging box. The paper uses the assumption that the space required to contain bottles depends on the space to contain one bottle, and the space to contain one bottle depends on the largest cross-section of the bottle body. The system can give designers suggestions about the packaging efficiency of the designed model.

scholarly journals Application of Fuzzy-Based Hybrid Taguchi Method for Multiobjective Optimization of Product Form Design

2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
Yongfeng Li ◽  
Meng-Dar Shieh ◽  
Chih-Chieh Yang ◽  
Liping Zhu
Keyword(s):  
Taguchi Method ◽  
Robust Design ◽  
Affective Response ◽  
Affective Responses ◽  
Product Form ◽  
Design Approach ◽  
Characteristic Index ◽  
Design Variables ◽  
Form Design ◽  
Product Form Design

In today’s competitive market, industrial product form design is moving towards being consumer centric. Affective responses relate to customers’ affective needs and are receiving increasing attention. To design a product form that can appeal to consumers, designers should consider multiple affective responses (MARs). This paper proposes a robust design approach that uses a fuzzy-based hybrid Taguchi method to derive the optimal product form design concerning MARs. First, design analysis is used to identify design variables and MARs. According to the results, a Taguchi experiment is designed in which fuzzy sets are used to measure the MARs; then, signal-to-noise (S/N) ratios are calculated. Subsequently, a fuzzy questionnaire with multiple answers is employed to acquire consumers’ preference weights for MARs, following which Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is adopted to transform the multiple S/N ratios into a multiperformance characteristic index (MPCI). On the basis of the MPCI, the effects of design variables are identified through analysis of variance and the response table and the response graph are obtained. Consequently, the optimal form design is achieved. A car profile design was used as an example to demonstrate the proposed approach. The results indicate that this approach can effectively improve consumers’ affective response qualities and can be used as a robust design approach to optimize product form design.

scholarly journals Novel Robust Design Method of Multilayer Optical Coatings

ISRN Optics ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Suyong Wu ◽  
Xingwu Long ◽  
Kaiyong Yang
Keyword(s):  
Robust Design ◽  
Optimization Design ◽  
Design Method ◽  
Analytical Calculation ◽  
Design Procedure ◽  
Deposition Process ◽  
Practical Significance ◽  
Optical Coatings ◽  
Optical Films ◽  
Robust Design Method

We present a novel fast robust design method of multilayer optical coatings. The sensitivity of optical films to production errors is controlled in the whole optimization design procedure. We derive an analytical calculation model for fast robust design of multilayer optical coatings. We demonstrate its effectiveness by successful application of the robust design method to a neutral beam splitter. It is showed that the novel robust design method owns an inherent fast computation characteristic and the designed film is insensitive to the monitoring thickness errors in deposition process. This method is especially of practical significance to improve the mass production yields and repetitive production of high-quality optical coatings.

A time-varying reliability-based robust design method considering overall efficiency of axial piston pump

2021 ◽  
pp. 1748006X2110661
Author(s):  
Zunling Du ◽  
Yimin Zhang
Keyword(s):  
Energy Conversion ◽  
Robust Design ◽  
Design Method ◽  
Design Stage ◽  
Structure Parameters ◽  
Time Varying ◽  
Design Variables ◽  
Reliability Method ◽  
Overall Efficiency ◽  
Axial Piston

Axial piston pumps (APPs) are the core energy conversion components in a hydraulic transmission system. Energy conversion efficiency is critically important for the performance and energy-saving of the pumps. In this paper, a time-varying reliability design method for the overall efficiency of APPs was established. The theoretical and practical instantaneous torque and flow rate of the whole APP were derived through comprehensive analysis of a single piston-slipper group. Moreover, as a case study, the developed model for the instantaneous overall efficiency was verified with a PPV103-10 pump from HYDAC. The time-variation of reliability for the pump was revealed by a fourth-order moment technique considering the randomness of working conditions and structure parameters, and the proposed reliability method was validated by Monte Carlo simulation. The effects of the mean values and variance sensitivity of random variables on the overall efficiency reliability were analyzed. Furthermore, the optimized time point and design variables were selected. The optimal structure parameters were obtained to meet the reliability requirement and the sensitivity of design variables was significantly reduced through the reliability-based robust design. The proposed method provides a theoretical basis for designers to improve the overall efficiency of APPs in the design stage.

Learning Geometric Design Knowledge From Conceptual Sketches and Its Utilization in Shape Creation and Optimization

2009 ◽  
Author(s):  
Gunay Orbay ◽  
Levent Burak Kara
Keyword(s):  
Digital Media ◽  
Computational Method ◽  
Deformation Analysis ◽  
Design Processes ◽  
Continuous Space ◽  
Current Product ◽  
Design Activities ◽  
Form Design ◽  
One Step ◽  
Product Forms

In current product design, significant effort is put into creating aesthetically pleasing product forms. Often times, the final shape evolves in time based on designers’ ideas externalized through early design activities primarily involving conceptual sketches. While designers negotiate and convey a multitude of different ideas through such informal activities, current computational tools are not well suited to work from such forms of information to leverage downstream design processes. As a result, many promising ideas either remain under-explored, or require restrictive added effort to be transformed into digital media. As one step toward alleviating this difficulty, we propose a new computational method for capturing and reusing knowledge regarding the shape of a developing design from designers’ hand-drawn conceptual sketches. At the heart of our approach is a geometric learning method that involves constructing a continuous space of meaningful shapes via a deformation analysis of the constituent exemplars. The computed design space serves as a medium for encoding designers’ shape preferences expressed through their sketches. With the proposed approach, designers can record desirable shape ideas in the form of raw sketches, while utilizing the accumulated information to create and explore novel shapes in the future. A key advantage of the proposed system is that it enables prescribed engineering and ergonomic criteria to be concurrently considered with form design, thus allowing such information to suitably guide conceptual design processes in a timely manner.

scholarly journals Is the Linear Modeling Technique Good Enough for Optimal Form Design? A Comparison of Quantitative Analysis Models

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Yang-Cheng Lin ◽  
Chung-Hsing Yeh ◽  
Chen-Cheng Wang ◽  
Chun-Chun Wei
Keyword(s):  
Product Design ◽  
Design Process ◽  
Design Approach ◽  
Modeling Technique ◽  
Type I ◽  
Linear Modeling ◽  
Optimal Form ◽  
Product Image ◽  
Form Design ◽  
Product Forms

How to design highly reputable and hot-selling products is an essential issue in product design. Whether consumers choose a product depends largely on their perception of the product image. A consumer-oriented design approach presented in this paper helps product designers incorporate consumers’ perceptions of product forms in the design process. The consumer-oriented design approach uses quantification theory type I, grey prediction (the linear modeling technique), and neural networks (the nonlinear modeling technique) to determine the optimal form combination of product design for matching a given product image. An experimental study based on the concept of Kansei Engineering is conducted to collect numerical data for examining the relationship between consumers’ perception of product image and product form elements of personal digital assistants (PDAs). The result of performance comparison shows that the QTTI model is good enough to help product designers determine the optimal form combination of product design. Although the PDA form design is used as a case study, the approach is applicable to other consumer products with various design elements and product images. The approach provides an effective mechanism for facilitating the consumer-oriented product design process.

scholarly journals Fusion of Cognitive Information: Evaluation and Evolution Method of Product Image Form

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Shutao Zhang ◽  
Pengfei Su ◽  
Shifeng Liu
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Relative Entropy ◽  
Logistic Regression Model ◽  
Design Method ◽  
Fitness Function ◽  
Evaluation Model ◽  
Entropy Theory ◽  
Cognitive Information ◽  
Product Forms

In order to realize the stability and inheritance of image characteristics in the development process of a series of products, we comprehensively analyzed the cognitive differences among users, designers, and engineers and propose a multicriteria decision system for an intelligent design method of product forms based on a logistic regression model, relative entropy theory, and preference mapping (PREFMAP). First, from the perspective of the role characteristics of the design subjects, an equilibrium evaluation model was constructed using the logistic regression model and relative entropy theory. Second, combining the multidimensional perception space and the characteristics measurement of the product form, the fitness function of the image form was constructed based on PREFMAP. Third, a genetic algorithm was applied to establish the intelligent image-style-oriented design method, which could guide the image form development of a product series through innovative design. Lastly, the method was verified by taking Audi A4L series headlights as an example. And the image evaluation of the two new schemes was greater than that of the previous seven generations of headlights. The results verify the effectiveness and feasibility of the method. In this paper, we structured a relatively preliminary model to explain the fusion of cognitive information. More subjective and objective factors, algorithms, and image recognition technology need to be further studied to improve the model in our future work.

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