초기 디자인 단계를 위한 데이터 주도형 지원 모델 개발 = Data-Driven Design Support Model for Early Design Stages

다국어 초록 (Multilingual Abstract)

Early design stages of new product development are the most crucial to process most of the product development-related data. However, since data in the early phases are normally in the form of qualitative text-image, and uncertainty-ambiguity are inherently embedded in the initial data, the initial stages are considered the most difficult to conduct. Although many studies on processing initial data using models have been dedicated, those have limitations. Most of the models are action-driven types and their data yielded tend to exist independently and separately with less correlation. With exploratory research using inductive reasoning, this study proposes a data-driven model wherein data can be inferred considering an interrelationship of initial design activities of 4 domains including the market, user, aesthetic and engineering, which leads to data processing-making more intuitively. In addition, this study suggested theoretical conceptual guidance deduced mathematically from the structure and operating mechanism of the model developed.

국문 초록 (Abstract)

신제품개발의 초기디자인단계는 제품개발관련 데이터 대부분을 처리하는 단계로 가장 중요하다. 하지만초기데이터는 정성적 텍스트·이미지 형태이며, 초기단계의 본질적 불확실성·모호성으로 인해 가장 까다로운 단계로 여겨진다. 초기데이터 처리를 지원하는 모델 연구가 지속적으로 이루어져왔지만, 실질적·실용적으로 해결하는데는 한계가 있었다. 대부분이 활동 주도형 모델로써 산출되는 데이터는 상호연관성 없이 독립적으로 분리되어 존재한다. 귀납추론을 이용한 탐색적 연구를 통해 시장, 사용자, 미학, 공학 각 영역의 초기디자인활동 간의 상호관련성을 바탕으로 산출되는 데이터를 서로 추론할 수 있는 데이터 주도형 모델을 제시함으로써 보다 직관적으로데이터 처리 및 결정을 지원하고자 한다. 또한 모델의 구조 및 작동방식을 수학적으로 추론한 이론적 개념 지침도함께 제공하고자 한다.

참고문헌 (Reference)

• 1 V. Joachim, "What does front-end research build on? A cocitation analysis of the intellectual background and potential future research avenues" 67 (67): 105-121, 2020
• 2 V. J. Ester, "Use of tools, methods and techniques during the fuzzy front end of innovation: Their impact on innovation performance-An exploratory study of companies in the Basque country" 183-184, 2007
• 3 B. Yazan, "Three approaches to case study methods in education : Yin, Marriam, and Stake" 20 (20): 134-152, 2015
• 4 A. P. Giorgi, "The handbook of qualitative research in psychology" Sage Publications 2003
• 5 S. E. Reid, "The fuzzy front end of new product development for discontinuous innovations: A theoretical mode" 21 (21): 170-184, 2004
• 6 P. R. N. Childs, "The creativity diamond—A framework to aid creativity" 10 (10): 73-92, 2022
• 7 D. Escudero-Mancebo, "Research methods in engineering design: A synthesis of recent studies using a systematic literature review" 2021
• 8 G. A. Stevens, "Piloting the rocket of radical innovation" 46 (46): 16-25, 2003
• 9 R. E. Stake, "Multiple case study analysis" Guilford Press 2013
• 10 E. Brun, "Managing ambiguity in new product development projects" 18 (18): 24-34, 2009
• 11 S. M. Takey, "Fuzzy front end of systemic innovations: A conceptual framework based on a systematic literature review" 11 (11): 97-109, 2018
• 12 P. A. Koen, "Fuzzy front end : Effective methods, tools, and techniques" 1 : 5-35, 2002
• 13 S. Achiche, "Fuzzy decision support for tools selection in the core front end activities of new product development" 24 (24): 1-18, 2013
• 14 M. G. De Oliveira, "Front-end of innovation:A systematic review and lifecycle analysis" 2022
• 15 A. J. Jetter, "Educating the guess:Strategies, concepts and tools for the fuzzy front end of product development" 261-273, 2003
• 16 J. Frishammar, "Beyond managing uncertainty: Insights from studying equivocality in the fuzzy front end of product and process innovation projects" 58 (58): 551-563, 2011
• 17 N. P. Suh, "Axiomatic design" Oxford University Press 2001
• 18 M. A. Williams, "An object-oriented reference model of the fuzzy front end of the new product introduction process" 34 (34): 826-841, 2007
• 19 K. Talke, "A competence based model of initiatives for innovations" 15 (15): 373-384, 2006