Cost optimization of maintenance scheduling for a system with assured reliability

Jayabalan, V.; Chaudhuri, Dipak

doi:10.1109/24.126665

Cited by 114 publications

(47 citation statements)

References 11 publications

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“…For example, a new personal computer will not have exactly the same type of CPU as the replaced old computer since the CPU of the replaced computer may be phased out. It seems that the PM model found in literature (e.g., Nakagawa [5] and Jayabalan and Chaudhuri [3]), which are under the assumption of infinite time span, might not be suitable for the above case.…”

Section: Introductionmentioning

confidence: 83%

A Failure-rate-reduction Periodic Preventive Maintenance Model with Delayed Initial Time in a Finite Time Period

Cheng

Zhao

Chen

et al. 2014

Quality Technology & Quantitative Management

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A new machine will not fail easily in the early stage of its useful life. This phenomenon is consistent with the fact that the optimal sequential preventive maintenance (PM) policy which has longer PM intervals in its earlier stage of lifetime. In this paper, we propose a failure-ratereduction periodic PM model with delayed initial time in a finite time span. Then, the optimal periodic PM policy is developed by minimizing the expected total maintenance cost, which can have smaller expected total maintenance cost than the optimal policy of the original failure-ratereduction periodic PM model. The algorithm of finding the optimal PM policy for the proposed PM model is developed. Finally, examples are illustrated to verify the optimal policies of the proposed new PM model.

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Section: Introductionmentioning

confidence: 83%

A Failure-rate-reduction Periodic Preventive Maintenance Model with Delayed Initial Time in a Finite Time Period

Cheng

Zhao

Chen

et al. 2014

Quality Technology & Quantitative Management

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“…The proper maintenance intervals to overcome the overall losses of generation caused by severe failures of crucial equipment in power stations play an important role in the industry. Many researchers have investigated methods of determining the proper maintenance intervals [1][2][3]. Maintenance and operational scheduling of power plants have been studied [5,6].…”

Section: Introductionmentioning

confidence: 99%

Proper decision for maintenance intervals of equipment in thermal power station based on operational rate and maintenance replacement rate

Katafuchi

Nakamura

Suzuki

et al. 2003

Electrical Engineering Japan

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SUMMARYIn this paper, a rational method has been proposed to determine the maintenance schedule of turbines in thermal power stations. Due to the fact that many failure data do not exist, we focused on the maintenance replacement rate, and the dimensional reduction method was used. The proper maintenance interval based on the future operational rate was chosen by the relationship between the operational rate and the maintenance interval. The results of analysis have shown a reduction in the maintenance cost, while maintaining the current reliability. The proposed method was implemented by Kyushu Electric Power Co. beginning in April 2002 to determine the maintenance schedule of turbines in thermal power stations. Moreover, it can be applied to any other system.

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“…Lie and Chun [7] formulate a cost model where pm is performed whenever the system reaches the predetermined maximum failure rate. Jayabalan and Chaudhuri [5] have obtained the optimal replacement policy for a specific period of time where downtime for installation and pm were assumed to be negligible. This article considers downtime for replacement as constant, since the system is replaced by a new similar system.…”

Section: Introductionmentioning

confidence: 99%

Optimal maintenance and replacement policy for a deteriorating system with increased mean downtime

Jayabalan

Chaudhuri

1992

Naval Research Logistics

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The problem of imperfect preventive maintenance (pm) and replacement schedule for a system which works below a specified failure rate is studied. For a given planning period, the optimal schedule for replacements to minimize the total cost is obtained. This article presents a branching algorithm with effective dominance rules to obtain the optimal schedule. Numerical illustration and computational experience are also presented.

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Cost optimization of maintenance scheduling for a system with assured reliability

Cited by 114 publications

References 11 publications

A Failure-rate-reduction Periodic Preventive Maintenance Model with Delayed Initial Time in a Finite Time Period

A Failure-rate-reduction Periodic Preventive Maintenance Model with Delayed Initial Time in a Finite Time Period

Proper decision for maintenance intervals of equipment in thermal power station based on operational rate and maintenance replacement rate

Optimal maintenance and replacement policy for a deteriorating system with increased mean downtime

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