A two2step modular cluster met hod for product s based on house of quality ( HOQ) ma2<br />t rix was proposed to solve t he difficulties of ext remely vast mat rix dimensions in engineering<br />fields. According to engineering performance ( EP) correlation mat rix
t he EPs were first clus2<br />tered via solving the Fiedler eigenvalue and t he corresponding eigenvector wit h min2max cut algo2<br />rit hm. Considered t he relation mat rix of customer requirement s (CRs) and EPs and solved a 0O1<br />optimal problem
the CRs were t hen clustered wit h the EPs determined group number
which<br />confirmed t he unique and maximum relation criterions ; t hus t he tight coupling customer require2<br />ment s and engineering performance were clustered into modules. A machine tool case verifies t he<br />effectiveness of t he proposed approach for modulari-ing product design.
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references
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