Product development processes – from deterministic to probabilistic: a Design for 6-Sigma approach to lean product validation, Part II. (2nd February 2006)

• Record Type: Journal Article
• Authors: Khalaf, Faysal; Yang, Kai
• Is Part Of: International journal of product development. Volume 3:Number 1(2006)
• Page Start: 18
• Page End: 36
• Publication Date: 2006-02-02
• Subjects: design for six sigma -- DFSS -- axiomatic design -- product development -- design validation -- lean product validation -- computer aided engineering -- CAE -- failure mode and effects analysis -- FMEA -- failure mode analysis -- FMA -- design of experiments -- DOE -- quality function deployment -- QFD -- risk priority number -- RPN -- product design -- probabilistic representation -- product quality -- product robustness; New products -- Periodicals; Technological innovations -- Periodicals; Research, Industrial -- Periodicals; 658.57505
• Languages: English
• ISSNs: 1477-9056

Abstract

An important phase of any product development process is design validation. This phase ensures through a predetermined testing strategy that the product is capable of delivering its functional requirements robustly for a specified duration of time. This testing strategy should reflect the type of products designed and produced in a particular era. Nowadays, product requirements are changing and their designs are becoming even more complicated which represents a challenging opportunity to manage and perform associated required validation. This paper capitalises on proven concepts of Design for 6-Sigma (DFSS), axiomatic design, Failure Mode and Effect Analysis (FMEA), and robust design to present a lean approach to validating a product. The focus of this approach is to minimise redundancy and potential waste that can be observed in conducting hardware/CAE testing. An alternative to widely used ad hoc testing is a prescribed integration and sequence of testing that are performed to study specific families of failure modes in order to gain valuable information in reaching design validation.