PRODUCT COST ESTIMATION MODEL

IN EARLY DESIGN PHASE BASED

ON COST CLUSTER

JIANG Shaofei¹  LU Congda¹  LU Chunfu¹  PAN Shuangxia²

(1. Key Laboratory for Mechanical Manufacture & Automation of Ministry of Education,
Zhejiang University of Technology, Hangzhou 310032;
2. State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou 310027 )

Abstract: A cost estimation model based on cost cluster is presented with big samples in early product design phase because precise cost estimation in early adptive or derivative product design phase is very difficult. Euclidean distance between samples and estimating product are calculated to express their similarity. Difference matrix, distance matrix and similarity matrix are built base on euclidean distance sets between samples and indeterminate estimation product, then most correlated sample sets are selected to get interval of estimated cost based on cost cluster analysis. An example of brake disc shows invalidity of the cost cluster model. The result of experiment proved that cost cluster model was able to separate relative order of qulity of the samples.

Key words: Cost cluster Cost interval Euclidean distance Gray fuzzy cluster

CLC No: TH166

浙江省自然科学基金(Y105207)和国家自然科学基金(50305034)资助项目. Received 20060822, received in revised form 20061226