Optimal Opportunistic Maintenance of a k-out-of-n:G System

1997 ◽  
Vol 04 (04) ◽  
pp. 369-386 ◽  
Author(s):  
Hongzhou Wang ◽  
Hoang Pham
Keyword(s):  
Preventive Maintenance ◽  
Aircraft Engine ◽  
Opportunistic Maintenance ◽  
Corrective Maintenance ◽  
System Cost ◽  
Cost Rate ◽  
Decision Variables ◽  
Maintenance Time ◽  
Engine Maintenance

The opportunistic maintenance of a k-out-of-n:G system is studied in this paper. In many applications, it spends less cost and time to perform maintenance on several components jointly than on each component separately. Based on this fact, two new (τ, T) opportunistic maintenance models with the consideration of reliability requirements are proposed. In these two models with two decision variables τ ≤ T, only minimal repairs are performed on failed components before time τ, and corrective maintenance of all failed components are combined with preventive maintenance (pm) of all functioning but deteriorated components after τ; if the system survives to time T without perfect maintenance, it will be subject to pm at time T. Considering maintenance time, asymptotic system cost rate and availability are derived. The results obtained generalize and unify some previous research in this area. Application to aircraft engine maintenance is presented.

Establishing simulation model for optimizing efficiency of CNC machine using reliability-centered maintenance approach

2019 ◽  
Vol 10 (06) ◽  
pp. 1950034 ◽  
Author(s):  
Zahid Hussain ◽  
Hamid Jan
Keyword(s):  
Preventive Maintenance ◽  
Simulation Software ◽  
Time Interval ◽  
Total System ◽  
Cnc Machine ◽  
Effect Analysis ◽  
System Cost ◽  
Reliability Centered Maintenance ◽  
Maintenance Time ◽  
Critical Components

The objective of this work was to enhance the product’s quality by concentrating on the machine’s optimized efficiency. In order to increase the machine’s reliability, the basis of reliability-centered maintenance approach was utilized. The purpose was to establish a planned preventive maintenance strategy to identify the machine’s critical components having a noteworthy effect on the product’s quality. The critical components were prioritized using failure mode and effect analysis (FMEA). The goal of the study was to decrease the ppm time interval for a CNC machine by simulating the projected preventive maintenance time interval. For this purpose, the simulation software ProModel 7.5 was implemented for the current preventive maintenance procedure to choose the best ppm time interval which contributed better norms. Five dissimilar optimization approaches were applied, however, the first approach yielded the prominent total system cost and the shorter ppm interval. The results of the study revealed that there was an increase of USD 1878 as a result of an increase in total system cost from USD 78,365 to USD 80,243. Preventive maintenance costs were reduced from USD 4196 to USD 2248 (46%). The costs associated with good parts increased from USD 8259 to USD 8294 (0.4%) and the costs associated with defective parts reduced from USD 171 to USD 3 (98.25%), respectively.

The T Optimal Maintenance Time of Consecutive Linear k-out-of-r-from-n: F System and Consecutive Circular k-out-of-r-from-n: F System

2020 ◽  
pp. 2150008
Author(s):  
Y. Amirian ◽  
A. Khodadadi
Keyword(s):  
Real World ◽  
Preventive Maintenance ◽  
Corrective Maintenance ◽  
Integrated Strategy ◽  
Maintenance Time ◽  
Circular Component ◽  
Time Optimal ◽  
Optimal Maintenance ◽  
First Time ◽  
F System

A consecutive linear (circular) [Formula: see text]-out-of-[Formula: see text]-from-[Formula: see text]: [Formula: see text] system consists of [Formula: see text] linear (circular) ordered components such that the system fails if and only if there exist a set of [Formula: see text] consecutive linear (circular) component that contains at least [Formula: see text] failed components. The optimal maintenance of the consecutive [Formula: see text]-out-of-[Formula: see text]-from-[Formula: see text]: [Formula: see text] system to linear and circular states is investigated in this paper. First, an integrated strategy of corrective maintenance and preventive maintenance is introduced. Then, for first time, optimal maintenance has been applied to these systems, and optimum maintenance time has been achieved with this strategy. Also, real-world practical examples for this system have been presented.

ANALISIS PEMELIHARAAN MESIN RIDGER PALIR DI PT GREAT GIANT PINEAPPLE

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Burhan Nudin ◽  
Keyword(s):  
Preventive Maintenance ◽  
Spare Parts ◽  
High Price ◽  
Maintenance Period ◽  
Preventative Maintenance ◽  
Corrective Maintenance ◽  
Maintenance System ◽  
Maintenance Activities ◽  
Engine Maintenance ◽  
The Cost

Abstract The purpose of this study is to determine the optimization of machine maintenance which is applied by the company (companies), the problems that arise in the maintenance system, and the cost of both preventive maintenance and subsequent corrective maintenance activities, to determine the alternatives that is most optimal. The case study will be conducted in the PT Great Giant Pineapple by focusing the research on Ridger Palir machine. The selection will done in this machine, that is to say, considering terms of maintenance, and the high price of the spare parts. Based on the research results that have been done on PT Great Giant Pineapple, the engine maintenance activities, the general implementation of the engine maintenance, shows the company has been running pretty well, but not yet optimal. Out of the problems found in these, the author tried to find a solution by taking into account the cost efficient in carrying out maintenance and engine solutions to the problem of spare part procurement. Preventive maintenance system may be optimal for the efficiency of the company if the determination of the machine preventative maintenance period is predominant. Machine preventative maintenance period can be optimized with the average, that is, the average treatment which cab conducted once every 6 months. Keywords: maintenance, preventive maintenance, corrective maintenance

Preventive maintenance model based on the renewal-geometric process

2020 ◽  
pp. 1748006X2091878
Author(s):  
Caiyun Niu ◽  
Jiang Jiang ◽  
Bingfeng Ge ◽  
Yingwu Chen
Keyword(s):  
Optimal Policy ◽  
Preventive Maintenance ◽  
Economic Losses ◽  
Time Interval ◽  
Repairable Systems ◽  
Initial State ◽  
Corrective Maintenance ◽  
Cost Rate ◽  
Geometric Process ◽  
Replacement Model

Renewal-geometric process is used to describe such a non-homogeneous deteriorating process that a system will deteriorate after several consecutive repairs, not after each repair described by the geometric process. In the maintenance domain, the effect of corrective maintenance after failure is generally not repairable as new (e.g. geometrically deteriorating). Preventive maintenance is critical before a system failure, due to economic losses and security threats caused by a sudden shutdown. Therefore, this article assumes that a system is geometrically deteriorating after corrective maintenance, wherein preventive maintenances sequence in the same repair period form a renewal process since it can restore the system to the initial state of the period. Furthermore, a binary policy [Formula: see text] is utilized to minimize the long-run average cost rate, where [Formula: see text] represents the number corrective maintenances and [Formula: see text] denotes the time interval between two consecutive preventive maintenances. In particular, pseudo-age replacement model represents a special case of [Formula: see text], which is considered as a generalization of the traditional age-based replacement model. Subsequently, the optimal policy [Formula: see text] can be verified in theory and an asymptotic optimal policy [Formula: see text] can be obtained based on a heuristic grid search. Finally, numerical examples verify the effectiveness of this proposed model and show that implementation of preventive maintenance for some repairable systems is superior to no preventive maintenance in both economic and reliability aspects.

scholarly journals Filling machine preventive maintenance using age replacement method in PT Lucas Djaja

2018 ◽  
Vol 154 ◽  
pp. 01056
Author(s):  
Fifi Herni Mustofa ◽  
Ria Ferdian Utomo ◽  
Kusmaningrum Soemadi
Keyword(s):  
Maintenance Cost ◽  
Time To Failure ◽  
High Failure Rate ◽  
Corrective Maintenance ◽  
Replacement Method ◽  
Critical Components ◽  
Age Replacement ◽  
Engine Maintenance ◽  
A Company ◽  
Mean Time

PT Lucas Djaja is a company engaged in the pharmaceutical industry which produce sterile drugs and non-sterile. Filling machine has a high failure rate and expensive corrective maintenance cost. PT Lucas Djaja has a policy to perform engine maintenance by way of corrective maintenance. The study focused on the critical components, namely bearing R2, bearing 625 and bearing 626. When the replacement of the failure done by the company is currently using the formula mean time to failure with the result of bearing R2 at point 165 days, bearing 625 at a point 205 days, and bearing 626 at a point 182 days. Solutions generated by using age replacement method with minimization of total maintenance cost given on the bearing R2 at a point 60 days, bearing 625 at the point of 80 days and bearing 626 at a point 40 days.

Analisis Pemeliharaan Mesin Conveyor Menggunakan Metode Preventive dan Breakdown Maintenance untuk Meminimumkan Biaya Pemeliharaan Mesin pada PT X

2021 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
Meli Amelia ◽  
Tasya Aspiranti
Keyword(s):  
Data Analysis ◽  
Preventive Maintenance ◽  
Research Method ◽  
Research Data ◽  
Maintenance Cost ◽  
Know How ◽  
Descriptive Research ◽  
Quantitative Descriptive ◽  
Engine Maintenance ◽  
Care Study

Abstract. This research aims to know how the implementation of maintenance conducted by PT X and how maintenance by PT X used the preventive and breakdown maintenance methods to minimize engine maintenance cost. The research method used in this study is care study whereas this type of research is quantitative descriptive research. Technique of collecting data in this research by obsererving, interviewing and collecting documents related to research. Data analysis used by using preventive and breakdown maintenance methods. The result of this research is PT X performs maintenance of the engine by using preventive maintenance such as routine maintenance, semi-overhaul forecast maintenance and annual maintenance and breakdown maintenance are usually performed when the machine is fully damaged or dead. PT X should implement preventive maintenance because it is more efficient at 13,2% than the company’s maintenance. Abstrak. Penelitian ini bertujuan untuk mengetahui bagaimana pelaksanaan pemeliharaan mesin yang dilakukan PT X dan bagaimana pemeliharaan mesin yang yang dilakukan PT X dengan menggunakan metode preventive dan breakdown maintenance untuk meminimumkan biaya pemeliharaan mesin. Metode penelitian yang dilakukan dalam penelitian ini studi kasus sedangkan jenis penelitian ini adalah penelitian deskriptif kuantitatif. Teknik pengumpulan data dalam penelitian ini dengan melakukan observasi, wawancara dan pengumpulan dokumen-dokumen yang berkaitan dengan penelitian. Analisis data yang digunakan dengan menggunakan metode preventive dan breakdown maintenance. Hasil dari penelitian ini adalah PT X hendaknya melakukan pemeliharaan mesin dengan menggunakan preventive maintenance seperti perawatan rutin, perawatan semi overhaul dan perawatan tahunan dan breakdown maintenance biasa dilakukan saat mesin mengalami kerusakan atau mati total. PT X hendaknya melaksanakan preventive maintenance karena lebih efisien sebesar 13,2% dibandingkan pemeliharaan yang dilakukan perusahaan.

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