Application of Multiple Criteria Decision Making on Number Toys Design and Evaluation Optimization.

• Main Authors: Yu-Lun,Su, 蘇于倫
• Other Authors: Wen-Liang,Chen
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/95805662235246685749

碩士 === 樹德科技大學 === 應用設計研究所 === 96 === This research takes “the number toy” as an example and through the design and objective alternatives to create trendy number toys. First of all, this study tracks back the development of own branding and manufacturing and the design of number toys. Through quality function deployment, the research has multi level analysis on customers’ needs for products and then transfers it to the reference of the further design and characteristics of number toys. Furthermore, the series number toys design will develop with accurate design skills, creativities and factors of numbers and fashion styles. To find out if the result of the number toy projects meets the market acceptance, this research has three evaluations of multiple criteria decision making: TOPSIS, grey relation analysis and fuzzy synthetic decision. The differences of the three evaluations are discussed and AHP is used to calculate attribute value. The result indicates four points as following. 1. Orders and attribute value of customers’ needs are “unique style 9.37%”, “dust proof material 9.25%” and “style series 8.28%”; design parameter orders are “ exterior design 9.87%”, “series design 8.28%” and “institution design 7.92%”. 2. The best five designs chosen from thirteen drafts are the Lego fairy tale stationary set, the invisible number stress release stationary, the number circle stress release cup set, the tumbler business card clip and the number robot calendar. 3. Use qualitative research of grounded theory to consider market sales and build consumer-oriented system for multiple attribute decision making evaluation. The result of this research has seven perspectives and thirty five evaluation factors; the first three aspects are the whole creativity, beauty and economy. 4. The calculation outcome of these three evaluations doesn’t vary much on the entire order but for the calculation content, each has different difficulty. The research indicates that mode of fuzzy summarizing assessment is more suitable for the entire consideration factors and outcome. For product development, this mode is better to be used for pre-evaluation to know the outcome of each factor. Grey relation analysis is good for general evaluation when there are plenty of factors. TOPSIS can find out the positive and negative ideal solutions of evaluation criteria and get the distance of each project from both solutions to list out the priority orders. This research comes up with the toy design process and selection system and it focuses on consumers’ needs to develop creative design skills, and some number toy products are made for market strategy analysis and project selection. The process will be evaluated on practicality, objectivity and convenience, and expected to truly represent number toy designs. It will also help the designers understand questions, think of new projects, try to evaluate them and choose the best with limited time and resources. Hope this study will provide toy design industry with the evaluation system for new product development and raise companies’ competitiveness and brand value. Key words: number, toy design, Grounded theory, Quality Function Deployment, Multiple Criteria Decision Making