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Condition-Based Predictive Order Model for a Mechanical Component following Inverse Gaussian Degradation Process
Joint Authors
Wang, Cheng
Xu, Jianxin
Wang, Hongjun
Zhang, Zhenming
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
An efficient condition-based predictive spare ordering approach is the key to guarantee safe operation, improve service quality, and reduce maintenance costs under a predefined lower availability threshold.
In this paper, we propose a condition-based predictive order model (CBPO) for a mechanical component, whose degradation path is modeled as inverse Gaussian (IG) process with covariate effect.
The CBPO is dependent on the remaining useful life (RUL), random lead-time, speed-up lead-time degree, and availability threshold.
RUL estimation is obtained through the IG degradation process at each inspection time.
Both regular lead-time and expedited lead-time considered in RUL-based spare ordering policy can be cost-effective and reduce losses caused by unexpected failure.
Speed-up lead-time can meet the urgent needs for spare parts on site.
The decision variable of CBPO is the spare ordering time.
Based on the CBPO under the lower availability threshold constraint, the objective of this study is to determine the optimal spare ordering time such that the expected cost rate is minimized.
Finally, a case study of the mechanical spindle is presented to illustrate the proposed model and sensitivity analysis on critical parameters is performed.
American Psychological Association (APA)
Wang, Cheng& Xu, Jianxin& Wang, Hongjun& Zhang, Zhenming. 2018. Condition-Based Predictive Order Model for a Mechanical Component following Inverse Gaussian Degradation Process. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1209787
Modern Language Association (MLA)
Wang, Cheng…[et al.]. Condition-Based Predictive Order Model for a Mechanical Component following Inverse Gaussian Degradation Process. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1209787
American Medical Association (AMA)
Wang, Cheng& Xu, Jianxin& Wang, Hongjun& Zhang, Zhenming. Condition-Based Predictive Order Model for a Mechanical Component following Inverse Gaussian Degradation Process. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1209787
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209787