Customer Demand Analysis Method Research For Product Platform

Nowadays, customer requirements rapidly changing, customers no longer gather in asingle product market, but to seek a market providing personalized demand products.It isthis that requires enterprises to increase product diversification and shorten productdevelopment cycle. Now the enterprises consider to use the less product diversification tomeet individual demand of customers as much as possible.Therefore, many enterprisesadopt one effective way of mass customization to achieve, that is product platform.Productplatform is established based on the similarity between products, and new product variantsis derived based on product platform.But the problem of performance and quality of productplatform design process will be directly inherited by platform development productvariants,finally effecting the performance and quality of the whole family.Therefore,improving the soundness of the product platform is critical. Customer demand screening,customer group dividing for product platform and customer analysis based on extendedlydynamic quality of house model,to some extent, guarantees the robustness of productplatform.Therefore, in this paper, rough set, fuzzy set and gray theory is combined together toapply them to the comprehensive study of customer demand access,analysis andtransformation for product platform. After customer demand data collected by a method ofcombining external market research with internal database, rough number is applied toscreening and determining customer demand. And then, based on the customer demandproject determined by rough number, according to functional requirements situation ofcustomers, fuzzy transitive closure dynamic clustering method is used to dividing customergroup. The customer group dividing result is integrated into product platform update process,and a product platform model based on customer group dividing is established. Next, aimingat the status of traditional quality of house (HOQ) for lack of dynamically analyzingcustomer demand in the process of product platform establishment, an extended dynamicquality of house model is proposed in order that customer demand analysis for productplatform is performed.Based on this,grey relational analysis and metabolic GM(1,1) modelis integrated into dynamic quality of house，one of the customer groups is selected, roughnumber or grey relational analysis is used to determine the importance of customer demand,with house of quality,metabolic GM(1,1) model is applied to predicting customer demand inthe house of quality. Through the transformation of dynamic quality of house, the changes ofthe degree of importance of technical requirements and characteristic of functional module is analyzed and predicted so that the extent to which these changes impact on product platformdesign is determined. Finally, an instance of A electronic company manufacturing speakersis given to verify in detail, thus, it shows that enterprises effectively performing customerdemand analysis for product platform contributes to improving or developing new productsbased on platform.