Random Maintenance Strategy Modeling of Warranted Products with Reliability Heterogeneity

Author:

Ma Chengye1,Du Yongjun2ORCID,Shang Lijun3,Yang Li4ORCID,Gao Kaiye5ORCID

Affiliation:

1. School of Science, Lanzhou University of Technology, Lanzhou 730050, China

2. School of Economics and Management, Lanzhou University of Technology, Lanzhou 730050, China

3. School of Quality Management and Standardization, Foshan University, Foshan 528000, China

4. School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China

5. School of Management & Economics, Beijing Information Science and Technology University, Beijing 100192, China

Abstract

Using monitored job cycles to design and model random maintenance strategies for ensuring life-cycle reliability has been extensively researched. The reliability heterogeneity over the life cycle has been ignored universally in this type of strategy. In this paper, using two different areas of regions that can screen reliability, two random maintenance strategies were customized for the life-cycle reliabilities of warrantied products with monitored job cycles to be ensured based on reliability heterogeneity. In the case of using minimal repair, the first one was flexibly customized depending on whether the first failure occurs in the region consisting of limited job cycles or a period of warranty service, whichever occurs first. Such a strategy is called flexible repair warranty first (FRWF) and can be used to ensure warranty-stage reliability during a product’s life cycle. The FRWF strategy is modeled from the perspectives of cost and time measures. Based on whether the first failure of the product through its FRWF occurs in another region, random periodic replacement (RPR) and classic periodic replacement (CPR) are triggered to customize the second one, which is named bivariate customized random maintenance (BCRM) because two decision variables are considered. The BCRM and its variants are modeled from the perspectives of the average cost rates. Finally, numerical analysis of some of the customized strategies was performed from the numerical perspective. Numerical analysis showed that the presented FRWF is superior to the classic free repair warranty (FRW) strategy because the servicing time of the presented FRWF strategy is longer than the servicing time of the classic FRW strategy at the same cost.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference41 articles.

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