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Research Papers

Dynamic Opportunistic Maintenance Scheduling for Series Systems Based on Theory of Constraints (TOC)–VLLTW Methodology

[+] Author and Article Information
Xinyang Tao

State Key Laboratory
of Mechanical System and Vibration,
Department of Industrial
Engineering and Management,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
No. 800 Dongchuan Road,
Shanghai 200240, China
e-mail: taoenqi@sjtu.edu.cn

Tangbin Xia

State Key Laboratory
of Mechanical System and Vibration,
Department of Industrial
Engineering and Management,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
No. 800 Dongchuan Road,
Shanghai 200240, China;
Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109-2136
e-mail: xtbxtb@sjtu.edu.cn

Lifeng Xi

State Key Laboratory
of Mechanical System and Vibration,
Department of Industrial
Engineering and Management,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
No. 800 Dongchuan Road,
Shanghai 200240, China
e-mail: lfxi@sjtu.edu.cn

1Corresponding author.

Manuscript received May 29, 2015; final manuscript received August 6, 2016; published online September 21, 2016. Editor: Y. Lawrence Yao.

J. Manuf. Sci. Eng 139(2), 021009 (Sep 21, 2016) (8 pages) Paper No: MANU-15-1261; doi: 10.1115/1.4034474 History: Received May 29, 2015; Revised August 06, 2016

This paper focuses on series systems' dynamic opportunistic maintenance scheduling. Based on the machine-level predictive maintenance (PdM) method, a novel TOC–VLLTW methodology combined theory of constraints (TOC) policy and variable lead-lag time window (VLLTW) policy is proposed. The TOC policy provides machines' priorities according to their PdM durations to decrease system downtime when scheduling opportunistic maintenance. The VLLTW policy provides variable lead-lag time windows against different machines, allowing for more flexible and economic system opportunistic maintenance schedules. This proposed methodology is demonstrated through the case study based on the collected reliability information from a quayside container system. The results can effectively prove the effectiveness of the TOC–VLLTW methodology.

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References

Figures

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Fig. 1

Scheme of the TOC–VLLTW maintenance methodology

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Fig. 2

Flowchart of the TOC–VLLTW methodology for system-level opportunistic maintenance scheduling

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Fig. 3

Machine-level PdM schedules

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Fig. 4

System-level opportunistic maintenance schedules

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Fig. 5

Comparisons of different opportunistic maintenance methodologies

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