Multi-Mission Selective Maintenance Decisions

Cassady, C. Richard; Nachtmann, Heather; Schneider, Kellie; Rainwater, Chase; Rieske, Jeff; Stout, Jason; Johnson, Rebekah; Judy, Brittany; Carrasco, Mauricio; Maillart, Lisa M.

doi:10.21236/ada446320

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…In many practical industrial and military applications, multi-unit systems, such as material delivery systems, 1 machining lines, 2,3 planes, 4 and tanks, 5 are typically designed to perform a sequence of missions with a break between two adjacent missions. In order to maintain acceptable operating conditions for the system in subsequent missions, some maintenance activities must be performed during the break.…”

Section: Introductionmentioning

confidence: 99%

Selective maintenance optimisation considering random common cause failures and imperfect maintenance

Cao

Jia

Liu

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part O:

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This article addresses a selective maintenance optimisation problem for systems subject to random common cause failures. A system is likely to suffer from several random common cause failures during a given mission. Random common cause events, which occur with a specific probability distribution, may result in the simultaneous failures of multiple elements. Because time is one of the most crucial maintenance resources, a time-based imperfect maintenance model is proposed to quantify the maintenance efficiency of each candidate maintenance action. To meet the demands of the next mission, a selective maintenance model is proposed to optimally identify a subset of maintenance activities to be performed on certain elements of a system. A genetic algorithm and Monte Carlo simulation method is presented to solve the proposed selective maintenance optimisation problem. Illustrative examples combined with detailed discussions are presented to demonstrate the effectiveness of the proposed model. The results show that the proposal of time-based imperfect maintenance model can yield better maintenance results, while ignoring random common cause failures in selective maintenance optimisation may produce biased maintenance decisions and system reliability.

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Section: Introductionmentioning

confidence: 99%

Selective maintenance optimisation considering random common cause failures and imperfect maintenance

Cao

Jia

Liu

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…Rice, Cassady, and Nachlas [2] presumed several premise, such as maintenance could be done only before mission, set the maximum value of system mission reliability as goal, set maintenance item as decision-making variable, set maintenance time as constraint, then built an optimization model of selective maintenance. Cassady et.al [3][4][5][6] further studied on selective maintenance decision-making before mission. But these studies did not consider possible maintenance activities during mission.…”

Section: Introductionmentioning

confidence: 99%

The process of Mission Based Maintenance Decision-making for Material

Guo¹,

He²,

Zhang³

et al. 2012

2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

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The concept that Mission Based Maintenance Decision-making for Materiel is put forward in this paper. Keeping dependability and operational readiness after mission of material is set as goal, which includes dependability centred maintenance decision-making and operational readiness after mission centred maintenance decision-making for material. The process of mission based maintenance decision-making is analyzed, logic decision-making model of dependability centred maintenance for material is established, as well as logic decisionmaking model of operational readiness after mission centred maintenance for material. Also some issues should be studied further are proposed, such as material status assessment and prediction, and material dependability assessment.

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