Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Fast discovery of association rules
Advances in knowledge discovery and data mining
Modelling Product Structures by Generic Bills-of-Materials
Modelling Product Structures by Generic Bills-of-Materials
Computers and Industrial Engineering
Product platform design and customization: Status and promise
Artificial Intelligence for Engineering Design, Analysis and Manufacturing - SPECIAL ISSUE: Platform product development for mass customization
Integrating AHP and data mining for product recommendation based on customer lifetime value
Information and Management
Expert Systems with Applications: An International Journal
Decision Support Systems - Special issue: Economics and information systems
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
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Customer requirements analysis is the key step for product variety design of mass customisation. Quality Function Deployment (QFD) is a widely used management technique for comprehending the 'Voice of the Customer' (VOC), however, QFD in excess depends on human subjective judgement during extracting customer requirements and determination of the importance weights of customer requirements. And also, QFD process and related problems are complicated. In this paper, based on generic data structure of product family (GBOM), association rules analysis is introduced to construct the classification mechanism between customer requirements and product architecture. The new method can map customer requirements to the items of product family architecture respectively, accomplish the mapping process from customer domain to physical domain directly, decrease mutual process between customer and designer, improve the product design quality, and thus furthest satisfy customer needs. Finally, an example of customer requirements mapping of the elevator cabin is used to illustrate the proposed method.