The Approach for Identifying Opportunities in Product Innovation Design through Requirement Conflict Analysis  
[PERSON] [PERSON] [PERSON] [PERSON] [PERSON] [PERSON] The Approach for Identifying Opportunities in Product Innovation Design through Requirement Conflict Analysis. April. 2020  
functions. For example, in the literature [15], users' complaints and other demands were transformed into product function requirements and integrated with the Kano model to drive innovative product design. However, as products become more complex and user demands for new products evolve, innovative product design now incorporates not only functional requirements but also quality requirements. This shift entails transforming user demands from functional to performance requirements [16], making the fulfillment of performance requirements the ultimate goal of innovative product design. Nevertheless, whether it is functional or performance requirements, the initial expression of user demand is often vague and unstandardized, making it unsuitable for direct use in innovative product design. To address this issue, [PERSON] et al. [17] proposed a framework for extracting and visualizing user demand information from verbal communication, which helps refine and utilize user demands. [PERSON] et al. [18] introduced a technical text mining tool to extract user demand information from technical documents and translate it into design specifications, thereby identifying opportunities for innovative design. [PERSON] et al. [19] and [PERSON] et al. [20] standardized user demands by constructing user demand ontologies, facilitating computer-aided analysis of user demands and more effectively identifying innovative design opportunities based on those demands. Moreover, existing research has highlighted that product innovative design is constrained by several practical limitations [21]. Identifying innovation opportunities solely based on user demands does not guarantee feasibility. Therefore, to discover opportunities for innovative design that align with both user demands and realistic constraints, it is essential to consider the role of design constraints during the opportunity identification process. For instance, [PERSON] et al. [22] validated an improved production plan by taking design constraints into account. Similarly, [PERSON] et al. [23] developed a guiding algorithm based on inherent product constraints to reduce design time and mitigate risks in complex systems. Additionally, to distinguish between different design constraints in various design processes, existing research categorizes them into three types: input constraints, process constraints, and output constraints [24]. In the initial phase of product innovation, which focuses on achieving the final product performance, output constraints related to product performance are primarily considered. However, conflicts may arise between user performance requirements and product performance constraints. Specifically, design principles that meet user requirements might exceed the scope of applicable design constraints. Such conflicts are fundamental reasons for a product's failure to meet user demands [25]. Therefore, studies have approached innovation opportunity identification from the perspective of conflict resolution, utilizing two main identification methods [26]. The first method relies on engineering technology development principles, particularly the Theory of Inventive Problem Solving (TRIZ). [PERSON] et al. [9], for instance, integrated conflict problem analysis, the ideal final result method, and the nine-windows method to systematically guide designers in analyzing current design problems from multiple angles. However, using TRIZ theory requires a substantial professional knowledge base. The second method employs artificial intelligence technologies, such as expert systems and natural language processing.