Optimal design of accelerated degradation test with multiple optimization objectives. Issue 4 (4th July 2021)

• Record Type: Journal Article
• Authors: Guo, Jinyan; Yang, Zhaojun; Chen, Chuanhai; Su, Zhaoming
• Is Part Of: Quality technology & quantitative management. Volume 18:Issue 4(2021)
• Page Start: 505
• Page End: 525
• Publication Date: 2021-07-04
• Subjects: Optimal design -- accelerated degradation test -- gamma process -- multiple optimization objectives -- self-adaption searching algorithm; Quality control -- Periodicals; Quality control -- Statistical methods -- Periodicals; Industrial management -- Periodicals; Industrial management; Management -- Research -- Methodology -- Periodicals; Qualitative research -- Periodicals; Management; Quality control; Quality control -- Statistical methods; Periodicals; 658.00721
• DOI: 10.1080/16843703.2021.1910189
• Languages: English
• ISSNs: 1684-3703

Abstract

ABSTRACT: In this article, a multi-objective optimization method for the accelerated degradation test is proposed to solve the problem that the single objective optimization cannot meet the needs in practice gradually. Firstly, the Gamma process is assumed to describe the degradation path of product. Then, three optimization objectives are considered to establish the multi-objective optimization model based on the analytic hierarchy process, under the constraint that the total experimental cost does not exceed a predetermined budget. To solve the established optimization model, the self-adaption searching algorithm is proposed to search the optimal test plan, in which the searching interval of the decision variable is dynamically adjusted according to the feedback of the optimization function. Finally, the effectiveness of the proposed method is illustrated by a group of examples of motorized spindles.