Condition-based maintenance for multi-component systems: Modeling, structural properties, and algorithms
Condition-Based Maintenance (CBM) is an effective maintenance strategy to improve system performance while lowering operating and maintenance costs. Real-world systems typically consist of a large number of components with various interactions among components. However, existing studies on CBM mainl...
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| Vydané v: | IISE transactions Ročník 53; číslo 1; s. 88 - 100 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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Taylor & Francis
02.01.2021
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| ISSN: | 2472-5854, 2472-5862 |
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| Abstract | Condition-Based Maintenance (CBM) is an effective maintenance strategy to improve system performance while lowering operating and maintenance costs. Real-world systems typically consist of a large number of components with various interactions among components. However, existing studies on CBM mainly focus on single-component systems. Multi-component CBM, which joins the components' stochastic degradation processes and the combinatorial maintenance grouping problem, remains an open issue in the literature. In this article, we study the CBM optimization problem for multi-component systems. We first develop a multi-stage stochastic integer model with the objective of minimizing the total maintenance cost over a finite planning horizon. We then investigate the structural properties of a two-stage model. Based on the structural properties, two efficient algorithms are designed to solve the two-stage model.
Algorithm 1
solves the problem to its optimality and
Algorithm 2
heuristically searches for high-quality solutions based on
Algorithm 1
. Our computational studies show that
Algorithm 1
obtains optimal solutions in a reasonable amount of time and
Algorithm 2
can find high-quality solutions quickly. The multi-stage problem is solved using a rolling horizon approach based on the algorithms for the two-stage problem.
Supplementary materials
are available for this article. Go to the publisher's online edition of IISE Transaction, datasets, additional tables, detailed proofs, etc. |
|---|---|
| AbstractList | Condition-Based Maintenance (CBM) is an effective maintenance strategy to improve system performance while lowering operating and maintenance costs. Real-world systems typically consist of a large number of components with various interactions among components. However, existing studies on CBM mainly focus on single-component systems. Multi-component CBM, which joins the components' stochastic degradation processes and the combinatorial maintenance grouping problem, remains an open issue in the literature. In this article, we study the CBM optimization problem for multi-component systems. We first develop a multi-stage stochastic integer model with the objective of minimizing the total maintenance cost over a finite planning horizon. We then investigate the structural properties of a two-stage model. Based on the structural properties, two efficient algorithms are designed to solve the two-stage model.
Algorithm 1
solves the problem to its optimality and
Algorithm 2
heuristically searches for high-quality solutions based on
Algorithm 1
. Our computational studies show that
Algorithm 1
obtains optimal solutions in a reasonable amount of time and
Algorithm 2
can find high-quality solutions quickly. The multi-stage problem is solved using a rolling horizon approach based on the algorithms for the two-stage problem.
Supplementary materials
are available for this article. Go to the publisher's online edition of IISE Transaction, datasets, additional tables, detailed proofs, etc. |
| Author | Zhu, Zhicheng Xiang, Yisha |
| Author_xml | – sequence: 1 givenname: Zhicheng surname: Zhu fullname: Zhu, Zhicheng organization: Department of Industrial, Manufacturing, and Systems Engineering, Texas Tech University – sequence: 2 givenname: Yisha surname: Xiang fullname: Xiang, Yisha email: yisha.xiang@ttu.edu organization: Department of Industrial, Manufacturing, and Systems Engineering, Texas Tech University |
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| SubjectTerms | Condition-based maintenance endogenous uncertainty multi-component systems multi-stage stochastic integer programming |
| Title | Condition-based maintenance for multi-component systems: Modeling, structural properties, and algorithms |
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