Research On Modular Design Method And System Development Of Office Chair Based On User Requirements

Under the background of Industry 4.0,the market competition environment is becoming increasingly fierce,and the user needs are developing towards a more diversified and personalized direction.To improve the competitiveness of products,enterprises must use novel design patterns to quickly respond to different customized needs of users,so as to obtain more economic benefits.Therefore,this paper studies the modular design method for the user’s demand,and applies it to the office chair products,and develops the modular configuration design system,which can quickly design the office chair meeting the user’s demand.The main research contents of this paper are as follows:Firstly,the data mining technology is used to analyze user needs.Obtain the demand data of office chair through Python technology,including product price,product sales,user evaluation content and other data,and conduct data analysis to obtain the valuable data required by the enterprise.The Kano model and QFD method were used to classify and transform user requirements respectively,and the different requirements of users were converted into specific design objectives,thus guiding the subsequent modular design of products.Secondly,the improved genetic algorithm is used to partition the office chair modules.In order to respond to the personalized customization needs of users,user needs and sustainable factors are taken into account in the correlation analysis of parts,which can meet the dynamic diversified needs of users.In view of the traditional genetic algorithm in solving the problem of module partition is not breakthrough the limitation of initial setting module number and low local search ability of the two defects,puts forward an improved variable neighborhood search,genetic algorithm can search out the limitations of the initial module,to generate the optimal module partition plan,avoid the algorithm falls into local optimum.In order to combine user’s individual demand with product design effectively,a new floating-point number encoding method is used to improve product innovation and variation ability and algorithm accuracy.Then,the related technology of modular configuration design of office chair is studied.The case based method was used to model and solve the configuration of office chair products,and the modular configuration design process of the products was obtained.Taking the comprehensive performance,cost and delivery time as the objective function,the multi-objective configuration optimization of the product was carried out according to various constraints.In order to solve the disadvantage of multiobjective particle swarm optimization algorithm,a multi-objective simulated annealing particle swarm optimization algorithm was proposed.By mapping the configuration scheme to particles,the office chair configuration was solved and optimized,and several optimal configuration schemes were generated.The effectiveness of the proposed method is verified by comparing the algorithms.Finally,the modular configuration design system of office chair is developed on the basis of the previous research.Including basic interface and product instance retrieval,module division and configuration design and other functions,the system provides designers with very effective and convenient auxiliary design tools,can shorten the design cycle of office chair,improve user satisfaction.