An approach for design Verification and Validation planning and optimization for new product reliability improvement

Mohammadsadegh Mobin, Zhaojun Li, S. Hossein Cheraghi and Gongyu Wu

Reliability Engineering and System Safety, 2019, vol. 190, issue C, -

Abstract: Product design Verification and Validation (V&V) is an integral part of the new product development process to verify that the newly developed product meets its engineering specifications and fulfills its intended functions. A V&V planning assigns various V&V activities such as various engineering tests and analytics to achieve expected product performance. This paper investigates a method for optimizing product design V&V planning in the early stages of product development to maximize the product reliability improvement. The proposed V&V planning model considers the priorities of the failure modes based on failure rate, detectability, and consequences. The sequencing of performing V&V activities and the effectiveness of each V&V activity in reducing failure rate and improving failure detectability are also considered. The objective of the V&V optimization model is to maximize the system reliability improvement by optimally selecting a set of V&V activities. The sequencing for V&V activities is formulated using the job shop scheduling concept. The set covering problem concept is applied to assure that all critical failure modes are covered. A V&V planning example of an engine power unit development is demonstrated and the results are compared with existing planning methods, which shows the advantages of the proposed V&V planning approach.

Keywords: Verification and Validation (V&V) planning; New product development (NPD); Reliability improvement; Failure modes; Set covering problem; Scheduling; Optimization (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:190:y:2019:i:c:15

DOI: 10.1016/j.ress.2019.106518

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