Condition-based maintenance for intelligent monitored series system with independent machine failure modes

Maintenance scheduling, as a decision-making process, plays an important role for today's manufacturing systems. This paper proposes a condition-based maintenance policy for intelligent monitored multi-unit series systems. A novel method of multi-level scheduling is developed to predict mainten...

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Published inInternational journal of production research Vol. 51; no. 15; pp. 4585 - 4596
Main Authors Xia, Tangbin, Xi, Lifeng, Zhou, Xiaojun, Lee, Jay
Format Journal Article
LanguageEnglish
Published London Routledge 01.08.2013
Taylor & Francis LLC
Subjects
availability
condition-based maintenance
cost
Cost engineering
Decision making models
Failure analysis
Failure modes
global-objective model
Intelligent systems
Maintenance
Maintenance management
maintenance scheduling
maintenance time window
Mathematical models
On-line systems
Policies
Scheduling
Studies
Windows (intervals)
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Abstract Maintenance scheduling, as a decision-making process, plays an important role for today's manufacturing systems. This paper proposes a condition-based maintenance policy for intelligent monitored multi-unit series systems. A novel method of multi-level scheduling is developed to predict maintenance requirements according to machine degradation and maintenance opportunity. The hazard rates of each machine are assumed to be available either from historical reliability information or online state prediction. A global-objective model is used to make the machine-level decision for availability-effective and cost-effective maintenance intervals. Furthermore, a maintenance time window method is developed to decrease system total maintenance cost. This system-level schedule is determined by utilising opportunities of maintenance combination throughout the mission lifetime. The case study shows that the application of the proposed policy results in a noticeable cost saving.
AbstractList Maintenance scheduling, as a decision-making process, plays an important role for today's manufacturing systems. This paper proposes a condition-based maintenance policy for intelligent monitored multi-unit series systems. A novel method of multi-level scheduling is developed to predict maintenance requirements according to machine degradation and maintenance opportunity. The hazard rates of each machine are assumed to be available either from historical reliability information or online state prediction. A global-objective model is used to make the machine-level decision for availability-effective and cost-effective maintenance intervals. Furthermore, a maintenance time window method is developed to decrease system total maintenance cost. This system-level schedule is determined by utilising opportunities of maintenance combination throughout the mission lifetime. The case study shows that the application of the proposed policy results in a noticeable cost saving. [PUBLICATION ABSTRACT]
Maintenance scheduling, as a decision-making process, plays an important role for today's manufacturing systems. This paper proposes a condition-based maintenance policy for intelligent monitored multi-unit series systems. A novel method of multi-level scheduling is developed to predict maintenance requirements according to machine degradation and maintenance opportunity. The hazard rates of each machine are assumed to be available either from historical reliability information or online state prediction. A global-objective model is used to make the machine-level decision for availability-effective and cost-effective maintenance intervals. Furthermore, a maintenance time window method is developed to decrease system total maintenance cost. This system-level schedule is determined by utilising opportunities of maintenance combination throughout the mission lifetime. The case study shows that the application of the proposed policy results in a noticeable cost saving.
Author Lee, Jay
Xi, Lifeng
Zhou, Xiaojun
Xia, Tangbin
Author_xml – sequence: 1
  givenname: Tangbin
  surname: Xia
  fullname: Xia, Tangbin
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  organization: Mechanical Engineering , University of Michigan
– sequence: 2
  givenname: Lifeng
  surname: Xi
  fullname: Xi, Lifeng
  organization: State Key Laboratory of Mechanical System and Vibration, Department of Industrial Engineering, School of Mechanical Engineering , Shanghai Jiao Tong University
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  givenname: Xiaojun
  surname: Zhou
  fullname: Zhou, Xiaojun
  organization: State Key Laboratory of Mechanical System and Vibration, Department of Industrial Engineering, School of Mechanical Engineering , Shanghai Jiao Tong University
– sequence: 4
  givenname: Jay
  surname: Lee
  fullname: Lee, Jay
  organization: University of Cincinnati
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Snippet Maintenance scheduling, as a decision-making process, plays an important role for today's manufacturing systems. This paper proposes a condition-based...
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SubjectTerms availability
condition-based maintenance
cost
Cost engineering
Decision making models
Failure analysis
Failure modes
global-objective model
Intelligent systems
Maintenance
Maintenance management
maintenance scheduling
maintenance time window
Mathematical models
On-line systems
Policies
Scheduling
Studies
Windows (intervals)
Title Condition-based maintenance for intelligent monitored series system with independent machine failure modes
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