Research On The Optimization Of Product Family Design And Configuration Under The Idea Of Low-carbon

With the increasing severity of global warming,carbon emissions have received more and more attention since it is one of the main influencing factors of global warming.Carbon emission reduction has become the main measures to reduce carbon emissions for mitigating climate change in some countries and regions.Product as a basic unit of human being,it is one of the main sources of carbon emissions.How to reduce carbon emissions in the product life cycle has become an important problem which needs to be solved.Low carbon product design is recognized as one of the most effective ways to reduce carbon emissions from the source.To develop the technology and tools of low carbon design have become one of the most important research trends in the field of product design,and it has been concerned by many scholars.At present,the low carbon design method of product is mainly aimed at a single product,and there is no relevant research on product family design and configuration under the idea of low carbon.In order to meet the diverse needs of customers,the company’s production model has gradually shifted from mass production to mass customization.Under the mode of mass customization,the product family design and configuration instead of the design of a single product is concerned.Owing to the difference in design method,the low carbon design method for a single product can not effectively guide the design and configuration of product family under the idea of low carbon.Therefore,this paper focuses on the optimization theory,model and method of product family design and configuration under the idea of low carbon.The main contents of this paper are as follows:1、This paper studies the optimization of product family design under the idea of low-carbon.First,the optimization problem of product family design under the idea of low-carbon is described.Second,the carbon emission model of product is established,and the optimization model of product family under the idea of low-carbon is developed.In addition,a three-stage method is proposed to solve the optimization model.Finally,a case study is given to verify the effectiveness of the proposed method.The experimental results are analyzed,and how to coordinate and optimize the cost of product family and carbon emissions in product family is discussed.The results show that the proposed model and solution method can help decision-makers to design product family under the idea of low carbon.2、The joint decision of product family design and supplier selection under the idea of low-carbon is investigated.First,the joint decision problem of product family design and supplier selection under the idea of low-carbon is introduced.Second,the model profit model and GHG emission model are established in the case of integrated supplier selection and considering the buying behavior customer stochastic.Then the joint optimization model of product family design and supplier selection is presented.Aiming at the optimization problem,a genetic algorithm is developed.Finally,the proposed method is verified by a case study,and related experiments are designed.Through the analysis of experimental results,several design inspiration is provided.The results show that the proposed model and solution method can help decision-makers to simultaneous optimization the product family design and supplier selection under the idea of low carbon.3、The optimization of product configuration under the idea of low carbon is studied.First,the process model of product configuration under the idea of low carbon is introduced.Second,the carbon emission model of the configuration product is established.Meanwhile,an evaluation method with consideration of customer preference is proposed to evaluate customer satisfaction in product configuration.Third,the optimization model of product configuration under the idea of low carbon is developed,and a two stage method is proposed to solve the optimization model.Finally,the proposed approach is verified to be effective through a case study,and the influence of different configuration conditions on product configuration under the idea of low carbon is analyzed.In addition,how to coordinate customer requirements,supplier selection and environmental performance of product in product configuration is discussed.The results show that the proposed model and solution method can help decision-makers to optimize the product configuration under the idea of low carbon.4、The low carbon oriented modular product platform planning(MP~3)is studied.First,to support low carbon oriented MP~3,a risk evaluation method is proposed to evaluate the modular planning for MP~3.Second,the low carbon performance of product modular planning is analyzed,and the evaluation criteria and evaluation methods of low carbon for modular product planning are provided.Third,the optimization model for low carbon oriented modular product platform planning is established.To solve the optimization model,an Adaptive Memetic Algorithm(AMA)is developed.Finally,the effectiveness of the proposed method is demonstrated through a case study,and the experimental results are analyzed.In addition,the adaptive memetic algorithm is compared with other algorithm.5、The prototype system to support the product family design and configuration under the idea of low carbon is developed.First,the framework of the whole application system is constructed.Second,the development platform,development languages and database technology are introduced.Finally,the prototype system is developed based on the above theoretical research works,and the application of the main function modules of the system are introduced and verified by using examples.