Improving reliability and operational availability of military systems

Macheret, Yevgeny; Koehn, P.; Sparrow, D.A.

doi:10.1109/aero.2005.1559700

Cited by 12 publications

(7 citation statements)

References 2 publications

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“…o A , can be defined differently by using only system down time and mission time 16 as stated in Eqn. (1).…”

Section: Issues Arising Out Of Oasis 30 Deploymentmentioning

confidence: 99%

“…One way to handle the idle time is to consider the idle time as uptime (operational time), as suggested in 16 . Commonly, one can consider the operation period as a year.…”

Section: Ot St At Ot St At Tcm Tpm Taldtmentioning

confidence: 99%

“…On the other hand, warships in a navy differ from the airborne weapon systems, since the naval ships operate without supplying on the sea after leaving the seaport 16 . Also it can be constructed another K-factor ( K ′ ′ ) as Eqn.…”

Section: Ot St At Ot St At Tcm Tpm Taldtmentioning

confidence: 99%

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A Field Study on Concurrent Spare Parts Recommendation in an Airborne Weapon System

Noh

2018

Def. Sc. Jl.

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As the complexity of weapon systems has grown exponentially during the past few years, initial operation capability has been a crucial factor for military forces. Concurrent spare parts (CSPs) is the quantity of spare parts ensuring initial operating period specified by demanding forces acquiring newly deployed weapon systems. Because of the growth of system complexity, recommending precise CSP is not trivial. The Republic of Korea developed an improved CSP recommendation system and deployed the system for naval weapon systems. In this paper, we increase the prediction accuracy of CSP up to 23.1 per cent and 7.16 per cent higher in terms of budget constraint and operational availability ( o A ) constraint. The main improvement is achieved by facilitating simulations using the real field data from Korean air force. Also, we propose two validation approaches and show the possibility of extension to the general weapon systems. From the experimental study, we show that the CSP recommendation system can be deployed for navy and air forces.

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“…o A , can be defined differently by using only system down time and mission time 16 as stated in Eqn. (1).…”

Section: Issues Arising Out Of Oasis 30 Deploymentmentioning

confidence: 99%

“…One way to handle the idle time is to consider the idle time as uptime (operational time), as suggested in 16 . Commonly, one can consider the operation period as a year.…”

Section: Ot St At Ot St At Tcm Tpm Taldtmentioning

confidence: 99%

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A Field Study on Concurrent Spare Parts Recommendation in an Airborne Weapon System

Noh

2018

Def. Sc. Jl.

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“…He has used battle‐field environment factors to evaluate system performance, in which factors affecting availability are included. Macheret et al (2005) suggest a prognostics‐based approach by anticipating failures and reducing admin and logistic delays for achieving and maintaining high operational availability of military systems; they suggest two approaches‐overhaul and prognostics asset management strategies. This prognostics‐based approach is similar to reliability‐centered maintenance (RCM) for critical components.…”

Section: Past and Recent Workmentioning

confidence: 99%

Availability estimation using simulation for military systems

Upadhya

Srinivasan²

2012

Int J Qual & Reliability Mgmt

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PurposeAvailability of military systems is of major concern for military planners at both tactical (battle) level and at strategic level (long‐term national planning). Availability factors critically affect the operational effectiveness during military operations. Military systems are complex and lend themselves to simulation approach for availability estimation as analytical solutions are extremely difficult. The purpose of this paper is to discuss the method of systems modeling to approach the simulation for availability estimation of military systems.Design/methodology/approachAvailability measures are needed for two main domains of application: peacetime operations and battlefield situations. Availability measures include not only inherent availability of interest to designers/manufacturers, but also operational availability and field/service availability. The simulation approach adopted here involves discrete event simulation (DES) techniques using Monte Carlo methods since a network of events can be included in the model. A system engineering approach is emphasized, starting with system representation and characterisation, and using system aggregation techniques.FindingsModeling involves hierarchical models and network diagrams for events. First the system is described by a hierarchical model; the events and transitions are represented with state transition diagrams (STD). The simulation scheme would be based on initial resources or inventory as military operations proceed, with random variates for event times or rates. The availability as a function of time A(t) is arrived at. The reliability and maintainability models are simulated with probability distributions or using empirical distributions. The methods of data collection and analysis, and sensitivity analysis are mentioned. The methodology is explained with two case studies from the authors' work. The approaches of other workers in recent years are summarised.Originality/valueThe paper shows that the simulation models can suitably be modified to include their applications for army and navy military operations. Also, with proper data on all major subsystems of interest for the weapon platform and accurate past war data, it is possible to fine‐tune the models for online use during military campaigns. The availability figures thus obtained may also be used for procurement decisions for long‐term and strategic planning.

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“…The ability to automate this fault diagnosis, with advanced technologies and techniques, can help accurately predict the downtime and hence the operational availability of the aircraft. Operational availability is considered as the probability that the necessary systems will operate when required within a set of specified conditions (Macheret et al 2005). The prediction of availability based upon known reliabilities and operational parameters can be relatively straightforward.…”

Section: Current Aerospace Maintenance Practicementioning

confidence: 99%

Perspectives on the commercial development of landing gear health monitoring systems

Phillips

Diston

Starr

2011

Transportation Research Part C: Emerging Technologies

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The development of health monitoring technologies for aerospace systems creates a number of challenges for the community of engineers and technical specialists as they seek to integrate the technology into well defined working practices. These challenges do not just extend to the technical, but require a number of commercial questions to be addressed. It is of vital importance, that there is a clearly identified need for aerospace health monitoring, both from a technological and commercial viewpoint. If these needs cannot be identified, then any attempt for marketing health monitoring as a necessary future technological requirement is doomed for failure. Health monitoring technology will need to either deliver significant cost saving benefits to the aircraft operator or demonstrated increases in aircraft safety. The objective of the paper is to provide an assessment of the commercial benefits and development of aircraft landing gear health monitoring. The commercial need and challenges for health monitoring systems are explored in this paper within the context of a changing aerospace maintenance industry and the role in which new systems technology will play. The key findings of the research study are that within the aerospace industry there is a desired paradigm shift within aircraft maintenance towards offering maintenance systems with predictive capabilities. This maintenance revolution will not just incorporate new technologies, but will result in aircraft maintenance packages tailored towards individual customer requirements. The study illustrates the state-of-the-art in health monitoring currently restricts aerospace integration and a number of key technical and commercial issues need to be addressed. Predictive health monitoring offers a variety of commercially benefits for maintenance providers, aircraft operators and manufacturers. However, in order for these benefits to be realised increased transparency in maintenance related information is required between these key players.

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Improving reliability and operational availability of military systems

Cited by 12 publications

References 2 publications

A Field Study on Concurrent Spare Parts Recommendation in an Airborne Weapon System

A Field Study on Concurrent Spare Parts Recommendation in an Airborne Weapon System

Availability estimation using simulation for military systems

Perspectives on the commercial development of landing gear health monitoring systems

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