Research On Matching And Systems Development Between Products Innovation Designers And Teams

In the current society, the overwhelming prosperity of the global economydistinguishes market demands for their diversity and individuation, injecting freshvitality into the market while putting more challenges and pressure on enterprises. Toconfront with this tough situation, it is undisputable that enterprises should enhancetheir product innovation design capabilities to respond to market demands andstrengthen core competence. Information technology progress and emergences ofadvanced manufacturing models facilitate enterprises to strengthen their innovationdesign capabilities. However, the diversiform and dynamic product demands complexitythe product innovation design task, making it more frustrating to enhance the productinnovation design capability by merely depending on design methods improvementsand process optimizations.Based on matching theory and interactive psychological viewpoint, interactionresearches on personal behaviors and organizational behaviors from perspectives ofpersons and organizations respectively contribute to resolving the problem. Thereforethe matching between designers and teams provide an inspiring idea to further enhancethe product innovation design capacity. In this paper, four aspects for designers andorganizations, namely identification of key influence factors of designers and teams fit,calculation of fit value, optimization of the matching between designers and teamsmatching result and design the support system, are analyzed in depth based onsystematic researches of product innovation design and fit theories and methods. Maincontents of this paper include the following respects:①Conduct an overall study of fit status for designers and teams. Firstly, illustratethe basic connotation and the definition of their fit. Secondly, summarizes their fitcharacteristics after analyzing features of product innovation designs, design teams anddesigners, then come up with the overall technical proposal in terms of the researchframework, the research process and the technical route of this paper. Finally, analyzefour essential problems of the overall technical proposal, that is, identification of keyinfluence factors, calculations of fit value, optimization of fit result and design ofsupport system.②Identify key influence factors of designers and teams respectively. Firstly,explain the fit process, and illustrate the process analyzing the factors. Secondly, Analyze the factors from aspects of organization, persons and environment, then buildthe key factors identification index system. Thirdly, identify key factors with theImproved Fuzzy Clustering Analysis Method. Finally, verify the feasibility andavailability of the key factors identification method with an example.③Calculate the fit value for designers and teams. To begin with, analyze the fitprocess for designers and teams. Next, classify the influence factors and quantify themwith Likert Scale, and then construct the fit value calculation model. Finally, verify thefeasibility and availability of the fit value calculation model with an example.④Analyze the unidirectional fit for designers and organizations. To begin with,illustrate the necessity to study unidirectional fit issues with engineering practicerequirements, and then construct the unidirectional fit models for designers and teamsrespectively based on the fit value calculation model. Next, solve the models withAdaptive Genetic Algorithm. Finally, verify the feasibility and availability of theunidirectional fit model with an example.⑤Research the bidirectional fit issues for product designers and their teams.Firstly, classify the bidirectional fit issues. Secondly, illustrate the bidirectional fitprocess, and then discuss the bidirectional issues in situations where numbers of personsand teams are equal and unequal respectively. Thirdly, work out the bidirectionaldesigners and teams fit result with the Improved Delayed Recognition Algorithm.Finally, verify the feasibility and availability of the bidirectional fit result with anexample.⑥Design the fit support system for designers and organizations. Firstly, plan thesupport system based on the optimization process for designers and organizations.Secondly, analyze system requirements in terms of its application characteristics,development environment and business process, and then construct the systemframework including its data layer, application layer and view layer. Thirdly, illustratethe key technology to fulfill the system from perspectives of the system functionstructure, data structure, key algorithms and operation environment. Finally, put thesystem into practice with actual engineering background.