Assessment And Optimization Design Methodology Of Product Resilience Towards The Evolution Of Customer Requirements

Customer requirements are the core driver of product design.However,customer requirements are not static,but constantly evolving.Customer requirements for product functions and structures will always change over time.The evolution of customer requirements is uncertain.If the product cannot effectively respond to the evolving customer requirements,customers will be dissatisfied with the product,which then results in product obsolescence.For the outdated products,customers usually choose alternative products,which causes the enterprises loss their competitiveness.In the design process of engineering systems(e.g.,the power system and the supply chain system),the theories and methods of resilience engineering are effective to analyze the influence of disturbances on the engineering systems.Based on the resilience engineering,engineering systems can effectively absorb and adapt to the influence of uncertain factors,and gradually recover from it.Therefore,in order to improve the ability of products to respond to the evolving customer requirements and extend the product lifetime,this study develops a design and optimization methodology of product resilience based on the theories of resilience engineering.The specific research content is as follows:(1)Construction of the framework and key technologies for product resilient design framework towards the evolving customer requirements.First of all,considering the shortcomings of existing product design methods,the framework of product resilient design is constructed based on the dynamic mapping relationships among customer requirements,functional requirements and design parameters.Then,based on the framework of product resilient design,the key technologies and processes of product resilient design including the evolution analysis of customer requirements,assessment of product resilience and optimization design of product resilience are put forward.(2)Assessment of product resilience towards the evolution of customer requirements.Firstly,customer satisfaction and weights of customer requirements are quantified based on competition analysis and grey correlation analysis to obtain the comprehensive customer satisfaction.Secondly,the evolution of customer satisfaction is predicted by the grey prediction model,and the evolution model of customer requirements is constructed.Then,based on the evolution model,the process of product response to the evolution of customer requirements is described,and the three-stage product resilience curve including absorption,adaptation and recovery process is constructed based on the theories of resilience engineering.Finally,the product resilience is assessed by analyzing the ability of absorption,adaptation and recovery of the product.(3)Optimization design of product resilience considering design margins.Firstly,the interaction relationships of product functions are characterized based on functional basis model.Then,based on the theory of change propagation,the change likelihood and change impact among design parameters are analyzed,and the change risk is quantified.Then,the increment of product resilience is defined considering changes of the change risk and product resilience curve before and after the increase of design margins.Finally,an optimization model considering the cost of design margins and the increment of product resilience is constructed,and the optimal design scheme of is obtained through the improved adaptive genetic algorithm.(4)Case study.Taking the F-type hair dryer as an example,the main changeable customer requirements are collected,and the resilience of the F-type hair dryer is analyzed and optimized.The increment of product resilience after optimized is 24.78,which is 1.77 more than that of the existing product scheme.The research results can effectively help enterprises grasp the direction of evolution of customer requirements and provide opportunities for product design.Meanwhile,the results also show that appropriate design margins can effectively improve the product resilience to the evolution of customer requirements.