Research On Group Collaboration And Decision Optimization In Open Design

Open design is an Internet-based product innovation design mode with public participation.In the open design environment,a large number of participants with different knowledge backgrounds participate in the product innovation design process with the help of the open network community.Therefore,compared with the traditional closed design mode,open design brings more innovative solutions.Meanwhile,it also has tremendous advantages in realizing technological innovation,accelerating innovation transformation,saving innovation cost and improving user satisfaction.However,the deficiency of the basic theory of open design has seriously restricted its application in complex product systems development.To this end,from the perspective of organization and coordination and optimal allocation of community resources,the organization mode of participants’ large-scale group collaboration and decision-making optimization in the process of open design are studied in this paper.The major research contents are summarized as follows.1.The organization mode and operation mechanism of participants’ large-scale group collaboration in open design environment are studied.Firstly,the utilization mode of external innovation resources in the design platform in the open design environment is discussed.It is pointed that participants’ largescale group collaboration is the core of open design.Moreover,a specific implementation framework is proposed.Secondly,by introducing requirements and resources information into the FBS model,an extended RFBSR model is proposed to realize the mapping between requirements,functions,behaviors,structures and resources in open design project.Finally,based on the concept of Complex Network,a group collaboration network model is proposed to support participants’ large-scale group collaboration in open design environment.In the RFBSR model,the elements and their mapping relations are abstracted as nodes and edges of the network.Moreover,the evaluation indexes of the group collaboration network are given from the perspective of knowledge and efficiency.In this way,the organization and coordination of community resources in open design can be realized by optimizing the topology of the group collaboration network.2.The robustness of participants’ large-scale group collaboration in open design environment is studied.Firstly,from the perspective of network robustness,the influence of resource nodes failure on the robustness of the group collaboration network is discussed,and the robustness evaluation indexes of group collaboration network are proposed to evaluate the robustness of participants’ large-scale collaboration in open design.Secondly,from the perspective of knowledge and efficiency,the robustness evaluation indexes of group collaboration network are defined,including loss of knowledge capacity,loss of knowledge enrichment,loss of experience and loss of working efficiency.Finally,in order to make the group collaboration steady and consistent in open design,the robustness evaluation indexes of group collaboration network are introduced into the organization and coordination process of the community resources.Furthermore,the influence of different node failure strategies on the robustness of group collaboration network is discussed,and the corresponding network robustness improvement strategies are proposed.3.The rapid screening and evaluation problem of design alternatives in the open design environment is studied.Firstly,it is pointed that the screening and evaluation problem of design alternatives in the open design environment is a typical multi-criteria decision-making problem with uncertainty,and it is characterized by large number of alternatives,uncertain evaluation indexes,incomplete information and high requirement for real-time decision-making.Considering the above characteristics,the stochastic multi-criteria acceptability analysis(SMAA)method is used to solve this problem,and its principle is also introduced.Then,the SMAA model is improved from the aspects of reliability,efficiency and computational complexity,and an improved iterative stochastic multi-criteria acceptability analysis method(I-SMAA)is presented.This method can help realize a rapid screening and evaluation of design alternatives with uncertain evaluation indexes and incomplete information.In addition,the concept of rank sensitivity is introduced,which is used to analyze the influence on the ranking result of alternatives caused by uncertainty level of evaluation indexes.Based on the sensitivity analysis result,the decision implementation process based on I-SMAA is further improved to increase its reliability.Finally,a case study is used to verify the performance and efficiency of the proposed method.4.The extraction of decision makers’ preference information and the decision-making of design alternatives are studied.Firstly,considering that it is difficult to obtain decision makers’ preference information completely and accurately,the pairwise comparison relationships between indexes are considered as rough decision rules.The SMAA model is combined with the DB-VPRS model to evaluated the importance of these decision rules.Then,based on the importance of decision rules,the optimal extraction of preference information and the elimination of redundant information are realized.Finally,a case study is used to evaluate the performance and efficiency of the proposed method.5.A prototype system of group collaboration for open design is developed.Firstly,the overall system architecture and functions of the group collaboration platform for open design are discussed.Then,a prototype system of the group collaboration platform for open design is developed using QT Webengine.Finally,the functions of the system are demonstrated and illustrated with a project example...