Personalized customization: Service resource configuration optimization driven by customer requirements accurately.

ABSTRACT: Proposing an approach of service resource configuration optimization driven by customer requirements to address the issue of service resource configuration optimization in the context of personalized customization. Firstly, the importance judgment matrix, KANO model, and competitiveness evaluation are integrated to evaluate the relative importance of customer requirements. Secondly, the House of Quality (HoQ) and the intermediary variable "technical attributes" are utilized to determine the weight of each service module and its correlation with customer requirements. Afterwards, due to the varying customer requirements, the service candidate itemsets under the same service module will differ. To address this, a "one-to-many" relationship mechanism is introduced between the service module a

SUBMITTER: Yu C 

PROVIDER: S-EPMC11996078 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature