Progressive Opportunistic Maintenance Policies for Service-Outsourcing Network With Prognostic Updating and Dynamical Optimization

In this article, the reliability model and the opportunistic maintenance optimization model are formulated for the preset self-repairing mechanism which is artificially designed and applied to many engineering systems. The preset self-repairing mechanism is first introduced into the reliability model, and a series system consisting of two units is built to describe the proposed model. One unit in the system is subject to external shocks and has the preset self-repairing mechanism, the other does not have the recovery mechanism and its lifetime distribution follows exponential distribution. For the system, the analytical expression of reliability is derived, and a maintenance optimization model taking the long-run average cost per unit time as objective function is established. The decision parameters of the maintenance policy are preventive and opportunistic degradation levels. Besides, a preventive maintenance policy is proposed for comparison with the opportunistic maintenance policy. Finally, the numerical examples are provided to obtain the optimal decision parameters and demonstrate the effectiveness of opportunistic maintenance policies.

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China's service outsourcing talents training mode and training measures

Information Science and Management Engineering ◽

10.2495/isme130681 ◽

2013 ◽

Author(s):

Xiaochun Sun ◽

Jing Cai

Keyword(s):

Service Outsourcing ◽

Training Mode ◽

And Training

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The Antecedents and Synergistic Effect of Internal & External Knowledge Integrations on Performance in Offshore Professional Service Outsourcing

SSRN Electronic Journal ◽

10.2139/ssrn.3341066 ◽

2019 ◽

Author(s):

Zuoming Liu

Keyword(s):

Synergistic Effect ◽

Professional Service ◽

Service Outsourcing ◽

External Knowledge

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Availability analysis and maintenance optimization for multiple failure mode systems considering imperfect repair

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ◽

10.1177/1748006x211012792 ◽

2021 ◽

pp. 1748006X2110127

Author(s):

Qingan Qiu ◽

Baoliang Liu ◽

Cong Lin ◽

Jingjing Wang

Keyword(s):

Failure Modes ◽

Maintenance Cost ◽

Imperfect Maintenance ◽

Maintenance Policy ◽

Cost Rate ◽

Availability Analysis ◽

Long Run ◽

Optimal Maintenance ◽

Maintenance Policies ◽

Periodic Inspections

This paper studies the availability and optimal maintenance policies for systems subject to competing failure modes under continuous and periodic inspections. The repair time distribution and maintenance cost are both dependent on the failure modes. We investigate the instantaneous availability and the steady state availability of the system maintained through several imperfect repairs before a replacement is allowed. Analytical expressions for system availability under continuous and periodic inspections are derived respectively. The availability models are then utilized to obtain the optimal inspection and imperfect maintenance policy that minimizes the average long-run cost rate. A numerical example for Remote Power Feeding System is presented to demonstrate the application of the developed approach.

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Fleet Resilience: Evaluating Maintenance Strategies in Critical Equipment

Applied Sciences ◽

10.3390/app11010038 ◽

2020 ◽

Vol 11 (1) ◽

pp. 38

Author(s):

Orlando Durán ◽

Javier Aguilar ◽

Andrea Capaldo ◽

Adolfo Arata

Keyword(s):

Application Study ◽

System Availability ◽

Maintenance Strategies ◽

Resilience Index ◽

Reliability Block Diagrams ◽

Maintenance Policies ◽

Definition Of ◽

The Impact ◽

Important System ◽

Intrinsic Characteristic

Resilience is an intrinsic characteristic of systems. Through it, the capacity of a system to react to the existence of disruptive events is expressed. A series of metrics to represent systems’ resilience have been proposed, however, only one indicator relates the availability of the system to this characteristic. With such a metric, it is possible to relate the topological aspects of a system and the resources available in order to be able to promptly respond to the loss of performance as a result of unexpected events. This work proposes the adaptation and application of such a resilience index to assess the influence of different maintenance strategies and topologies in fleets’ resilience. In addition, an application study considering an actual mining fleet is provided. A set of critical assets was identified and represented using reliability block diagrams. Monte Carlo simulation experiments were conducted and the system availability data were extracted. Resilience indexes were obtained in order to carry out the definition of the best maintenance policies in critical equipment and the assessment of the impact of modifying system redundancies. The main results of this work lead to the overall conclusion that redundancy is an important system attribute in order to improve resiliency along time.

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