Replacement and standby redundancy policies in a deteriorating system with aging and random shocks

Hsieh, Chung-Chi

doi:10.1016/j.cor.2004.03.004

Cited by 10 publications

(4 citation statements)

References 28 publications

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“…Yeh (1996Yeh ( , 1997) considered a model with non-exponential sojourn times in which a state can be aggravated to any inferior state. Hsieh & Chiu (2002), and Hsieh (2005) considered standby systems with multi-state deteriorating components.…”

Section: Introductionmentioning

confidence: 99%

Maintenance of multi-state production systems deteriorated by random shocks and production

Yang

Lim

Chae

2010

J. Syst. Sci. Syst. Eng.

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We consider the preventive maintenance of a production system that is deteriorated by random shocks and the production process itself. The degree of deterioration is modeled by discrete and finite states. Shocks arrive according to a Poisson process and deteriorate the system by random amounts. The system may deteriorate whenever it produces an item. The system is continuously monitored and repaired if the system state is at or above a predetermined level for maintenance. We analyze the lifetime, product quantity, average cost, and average profit considering revenue from the product and cost due to setup, operation, and repair. Assuming a structure of system parameters and costs, using numerical examples, we investigate the impact of production and shock arrivals on the average profit and the optimal maintenance level that maximizes the average profit. The proposed model is applicable to manufacturing tasks in which machines wear due to production, for example, press processes, milling, turning, punching, and drilling.

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Section: Introductionmentioning

confidence: 99%

Maintenance of multi-state production systems deteriorated by random shocks and production

Yang

Lim

Chae

2010

J. Syst. Sci. Syst. Eng.

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“…For significant failure and repair costs the use of redundancy is recommended, especially if the component failure rate is decreasing or constant over time, since in this case, the preventive replacement does not reduce the risk of failure. Therefore, it is of key importance to know whether the cost increase due to purchasing the redundancy, is compensated by a reduction of failure and repair costs (Hsieh, 2005;Graves et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Component redundancy allocation in optimal cost preventive maintenance scheduling

Siopa

Garção

Silva

2015

Journal of the Operational Research Society

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This work presents a methodology to assess maintenance teams in the determination of the degree of redundancy that an active component must have in order to minimize its system life-cycle cost and in the definition of the corresponding maintenance plan schedule. The minimal required data are three average costs and one reliability function. It is useful in a system's design phase, since in this situation data is usually scarce or inaccurate, but can also be applied in the exploration phase. It is an adaptation of the classical Optimal Age Replacement method combined with a redundancy allocation problem. A set of simple illustrative examples covering a variety of operating conditions is presented, demonstrating quantitatively the applicability to a range of maintenance optimization decisions.

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“…Current studies on the maintenance of multi-component and multi-state systems are primarily focused on PS and may not be directly extendable to SRS. For example, Hsieh [13] examined a multi-state deteriorating PS with standby redundancy in which components may deteriorate due to random failures. To achieve the required system availability with minimal lifecycle cost, Levitin & Lisnianski [14] formulated a joint redundancy and replacement schedule optimization problem in which the element version, redundancy level, and replacement interval were optimized simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Optimal replacement policy for safety-related multi-component multi-state systems

Chen

Yang

2012

Reliability Engineering & System Safety

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Replacement and standby redundancy policies in a deteriorating system with aging and random shocks

Cited by 10 publications

References 28 publications

Maintenance of multi-state production systems deteriorated by random shocks and production

Maintenance of multi-state production systems deteriorated by random shocks and production

Component redundancy allocation in optimal cost preventive maintenance scheduling

Optimal replacement policy for safety-related multi-component multi-state systems

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