GOALI: Integrating Demand Analysis into a Decision-Based Design Framework

这项研究涉及基于离散选择分析(DCA)的需求分析方法与支持公司制造有利可图产品的目标的基于决策的设计(DBD)框架的集成。研究内容包括：(1)提高需求分析的预测能力；(2)在需求建模中纳入多个市场主体的行为；(3)预测需求分析中的不确定性；(4)扩展DBD实施的工程建模。所提出的方法和技术将通过一个实际的汽车发动机设计问题进行演示，并基于基本的经济原则和严格的方案选择方法的性质进行验证和验证。如果成功，拟议的研究将对提高产品设计中需求分析的预测能力产生直接影响。所提出的方法可以包含许多目前被忽略的重要因素，例如市场中竞争者和其他参与者的行为以及需求估计中的不确定性问题。拟议的DBD框架将提供严格的工程设计方法，以支持公司制造有利可图的产品的目标。工程建模的扩展工作有助于弥合产品设计中业务建模与工程建模之间的差距。这项拟议的研究有望扩展工程设计和市场研究方面的现有知识。预计这项研究还将对提高产业竞争力和改善教育活动产生更广泛的影响。预计研究将有助于工程设计理论和方法、工程设计决策分析、质量工程和工程设计市场研究等领域的教育。计划在大学和行业团队之间进行强有力的合作，包括定期举行研讨会、访问和共同指导研究生。

This research deals with the integration of a Discrete Choice Analysis (DCA) based approach to demand analysis with a Decision-Based Design (DBD) framework that supports a company's goal of making profitable products. The research will address four major topics, including (1) improving predictive capability of demand analysis, (2) incorporating behaviors of multiple market players in demand modeling, (3) predicting uncertainties in demand analysis, and (4) extending engineering modeling for DBD implementation. The proposed approach and techniques will be demonstrated through a real vehicle engine design problem, and verified and validated based on the basic economic principles and the properties of a rigorous alternative selection method. If successful, the proposed research will have an immediate impact on improving the predictive capability of demand analysis in product design. The proposed method can incorporate many important factors that are currently ignored, such as the behavior of competitors and other players in a market and the uncertainty issues in demand estimation. The proposed DBD framework will offer a rigorous engineering design approach that supports a company's goal of making profitable products. The work on extending engineering modeling is beneficial for bridging the gap between business and engineering modeling in product design. The proposed research is expected to extend the extant knowledge in engineering design as well as in market research. The research is also expected to have a broader impact on increasing industrial competitiveness and improving educational activities. Research is anticipated to contribute to education in the areas of engineering design theory and methodology, decision analysis in engineering design, quality engineering, and market research for engineering design. A strong collaboration is planned among the university and industry teams including regular seminars, visits, and co-supervisions of graduate students.