A Maintenance Strategy based on System Reliability Considering Imperfect Corrective Maintenance and Shocks

2021 ◽  
pp. 107886
Author(s):  
Shuyuan Gan ◽  
Zhifang Song ◽  
Lei Zhang
Keyword(s):  
System Reliability ◽  
Maintenance Strategy ◽  
Corrective Maintenance

scholarly journals Reliability-Based Preventive Maintenance Strategy of Truck Unloading Systems

2020 ◽  
Vol 10 (19) ◽  
pp. 6957
Author(s):  
Awsan Mohammed ◽  
Ahmed Ghaithan ◽  
Mashel Al-Saleh ◽  
Khalaf Al-Ofi
Keyword(s):  
System Reliability ◽  
Preventive Maintenance ◽  
Failure Modes ◽  
Reliability Function ◽  
Petroleum Products ◽  
Maintenance Strategy ◽  
Mean Time Between Failures ◽  
Time Period ◽  
Critical Components ◽  
One Year

The unloading of petroleum products is a complex and potentially dangerous operation since the unloading system contains complex interdependency components. Any failures in one of its components lead to a cut in the petroleum supply chain. Therefore, it is important to assess and evaluate the reliability of the unloading system in order to improve its availability. In this context, this paper presents the operation philosophy of the truck unloading system, failure modes of the components within the system, and a bottom-up approach to analyze the reliability of the system. In addition, it provides reliability data, such as failure rates, and mean time between failures of the system components. Furthermore, the reliability of the whole system was calculated and is presented for different time periods. The critical components, which are major contributors towards the system reliability, were identified. To enhance the system reliability, a reliability-based preventive maintenance strategy for the critical components was implemented. In addition, the preventive maintenance scheduling was identified based on the reliability plots of the unloading system. The best schedule for preventive maintenance of the system was determined based on the reliability function to be every 45 days for maintaining the system reliability above 0.9. Findings reveal that the reliability of the unloading system was significantly improved. For instance, the system reliability at one year improved by 80%, and this ratio increased dramatically as the time period increased.

scholarly journals Mean corrective maintenance time for a medium courier turboprop aircraft

2021 ◽  
Vol 13 (1) ◽  
pp. 237-243
Author(s):  
Marius-Alexandru VOICU ◽  
Ion FUIOREA
Keyword(s):  
Life Cycle ◽  
System Reliability ◽  
Corrective Maintenance ◽  
Maintenance Time ◽  
Gain Access

Logistics can be seen as the compound of all the considerations needed to ensure the efficient and economical support of a system throughout its life cycle. The unscheduled actions, performed as a result of a failure or a perceived failure, that are necessary to restore a system to its required level of performance is corrective maintenance. Such activities may include troubleshooting, disassembly to gain access to the faulty item, repair, remove and replace, reassembly, alignment and adjustment and checkout. The frequency of maintenance for a given item is highly dependent on the reliability of that item. In general, as the reliability of a system increases, the frequency of maintenance will decrease and, conversely, the frequency of maintenance will increase as system reliability is degraded.

scholarly journals DUMMY CB SEBAGAI ALAT SIMULATOR KUBIKEL UNTUK PEMELIHARAAN PREVENTIF DAN KOREKTIF GUNA MENGURANGI FREKUENSI PADAM PENYULANG 20 KV (APLIKASI PADA SISTEM SCADA 20 KV PT.PLN (PERSERO) APD JATENG & DIY)

2014 ◽  
Vol 18 (1) ◽  
pp. 21
Author(s):  
Meira Dwi Primanto ◽  
Priyo Sasmoko
Keyword(s):  
System Reliability ◽  
Circuit Breaker ◽  
Electrical Energy ◽  
Corrective Maintenance ◽  
Medium Voltage ◽  
Central Java ◽  
Scada System ◽  
Scada Systems ◽  
System Maintenance ◽  
Distribution Feeder

Meira Dwi Primanto, Priyo Sasmoko, in paper dummy CB as cubicle simulator for preventive and corrective maintenance to reduce off frequency 20 KV feeders (20 KV scada system at APD Central Java and Yogyakarta) explain that in 2013, the APD PT.PLN Central Java and Yogyakarta are conducting integration to SCADA at 20 KV feeders in distribution substation. For the next stage has been installed SCADA maintenance should be done periodically. Maintenance can be planned or due to interference with the SCADA system. Maintenance is usually done by the team must perform SCADA Distribution feeder outages and transfer of the load. In the installation of equipment, SCADA team should get a working permit to shut down the feeder, and to transfer the load to another feeder, so that the work has to get permission. SCADA systems are already installed requires maintenance to keep the system reliability. When maintenance SCADA, feeders should be extinguished, whereas for medium voltage customers such as factories, hospitals, and airports should always be channeled electrical energy. Feeder outages and load Delegation KWH lost causes. To the authors attempt to provide solutions that can overcome the missing KWH with a tool innovations made. The author makes a tool such as a dummy circuit breaker simulator 20 KV cubicles. This tool serves Especially when employees perform maintenance or investigation SCADA Disorders, which aims for 20 KV feeders should not be extinguished when performing preventive and corrective maintenance. So the number of frequency of feeder outages can be reduced. Keywords : Dummy Circuit Breaker, 20 KV PMT, SCADA maintenance.

A novel opportunistic maintenance strategy for systems with dependent main and auxiliary components

2020 ◽  
Vol 32 (1) ◽  
pp. 69-90 ◽  
Author(s):  
Jingyuan Shen ◽  
Yanjing Zhang ◽  
Yizhong Ma ◽  
Cong Lin
Keyword(s):  
System Reliability ◽  
Maintenance Strategy ◽  
Replacement Cost ◽  
The Matrix ◽  
Optimal Maintenance ◽  
Sensitivity Studies ◽  
Inspection And Maintenance ◽  
Environmental Shocks ◽  
Main Component ◽  
Cost Parameters

Abstract The complexity of dependence between different types of components results in many challenges to estimate system reliability and to optimize maintenance plans. In this paper, we develop a reliability model to study the failure dependence of a system with a main component and several protective auxiliary components. Damage to the main component caused by random environmental shocks depends on the number of auxiliary components in operation. When the execution of inspection and maintenance actions during system operation is difficult, failures of the main component provide opportunities to inspect and replace the auxiliary components. We derive the system reliability using Laplace transforms and the matrix method. The optimization problem is solved by an enumeration method. A numerical example and sensitivity studies of cost parameters show how the evolution of the parameters influences the optimal maintenance strategy. The results show that a high replacement threshold of the auxiliary components is required when the replacement cost of the main component is high. Conversely, the threshold could be adjusted to a lower level when the replacement cost of the auxiliary components and the downtime cost increase.

Applications of Risk-Based Decision-Making Tools for Process Equipment Maintenance

2002 ◽  
Author(s):  
Randal L. Montgomery ◽  
William C. Satterfield
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
System Reliability ◽  
Process Equipment ◽  
Equipment Maintenance ◽  
Maintenance Strategy ◽  
Analysis Tools ◽  
Reliability Centered Maintenance

This paper explains a risk-based approach for analyzing process equipment that will help maintenance organizations improve system reliability and optimize maintenance resources. In addition, the approach provides a methodology for organizations to move from a prescriptive or compliance-based maintenance strategy to a risk-based maintenance strategy. The approach outlined is based on proven risk assessment and maintenance analysis tools, such as reliability-centered maintenance. The information in this paper will benefit maintenance professionals interested in optimizing maintenance resources.

scholarly journals SELECTION OF INDUSTRIAL MAINTENANCE STRATEGY: CLASSICAL AHP AND FUZZY AHP APPLICATIONS

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Robison Ohta
Keyword(s):  
Fuzzy Ahp ◽  
Value Added ◽  
Industrial Plant ◽  
Maintenance Strategy ◽  
Analytic Hierarchy ◽  
Corrective Maintenance ◽  
Subjective Assessments ◽  
Industrial Maintenance ◽  
Priority Criterion ◽  
Selection Of

The selection of a maintenance strategy is a decision often made with uncertainty or subjectivity. This decision involves the prioritization of critical factors since there are several factors to be considered simultaneously. Decision-making generally depends on subjective assessments from experts. To deal with multiple factors, Analytic Hierarchy Processes (AHP) is a well-established multiple criteria decision analysis (MCDA) method.  This article presents an AHP application for the selection of a maintenance strategy by a real industrial plant. Four maintenance strategies are considered: Corrective Maintenance, Preventive Maintenance, Predictive Maintenance, and Proactive Maintenance. Decision criteria are cost, quality, safety, value added and viability. Then, incorporating the concepts of the fuzzy set theory, fuzzy AHP was applied to the same decision problem. In both applications, Corrective Maintenance was the strategy with the highest priority, and value added was the highest priority criterion. With the classical AHP application, some comparison matrices produced Consistency Ratios (CR) greater than 0.10, possibly generated by mistakes or misunderstandings from experts. However, the same result was obtained from fuzzy AHP and validated the result obtained from classical AHP application. The major contribution of the paper is the evidence that Fuzzy AHP may be a useful tool to solve the consistency problems in classical AHP applications.

scholarly journals Simultaneous Planning of Production, Setup and Maintenance for an Unreliable Multiple Products Manufacturing System

2021 ◽  
Vol 6 (5) ◽  
pp. 24-34
Author(s):  
Guy Richard Kibouka ◽  
Jean Brice Mandatsy Moungomo ◽  
Adoum Traoré Ndama
Keyword(s):  
Production System ◽  
Manufacturing System ◽  
Numerical Approach ◽  
Joint Optimization ◽  
Maintenance Strategy ◽  
Repair Rate ◽  
Hjb Equations ◽  
Corrective Maintenance ◽  
Multiple Products ◽  
Maintenance Activities

The work presented in this paper addresses the problem of joint optimization of the production, setup and corrective maintenance activities of a manufacturing system. This system consists of a machine subject to breakdowns and repairs and producing two types of parts. A corrective maintenance strategy whose repair rate depends on the number of setup operations already performed on the production system is considered in this work. The objective of this research is to propose a policy that controls production, setup, and corrective maintenance. The contribution of this paper is through the control of the repair rate, combined with the planning of production and setup in a dynamic and stochastic context. Optimality conditions in the form of Hamilton-Jacoby-Bellman (HJB) equations are obtained and a numerical approach is proposed in order to deal with the joint optimization issues. Extensive simulations are performed to address many scenarios that illustrate the interactions between production, setup and maintenance activities.

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