Optimal Preventive Maintenance Policy Under a Budget Constraint

2008 ◽  
Author(s):  
Inderjeet Singh ◽  
Elmira Popova ◽  
Ernie Kee
Keyword(s):  
Preventive Maintenance ◽  
Real Data ◽  
Integer Program ◽  
South Texas ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Data Set ◽  
Finite Time Horizon ◽  
Preventive Maintenance Policy ◽  
Operating Company

We design an optimal preventive maintenance policy for a system of N items that minimizes the total expected maintenance cost. We assume that the budget for preventive maintenance is limited and constrained. The problem has a finite time horizon and we consider constant inter-preventive maintenance times for every item. The resulting nonlinear optimization problem is reformulated as a binary integer program and computation results are presented on a real data set from South Texas Project Nuclear Operating Company in Bay City, Texas, USA.

scholarly journals ON PREVENTIVE MAINTENANCE POLICY FOR WAVE DISSIPATING BLOCKS COVERING CAISSON BREAKWATER

2018 ◽  
pp. 72
Author(s):  
Takao Ota ◽  
Hiroyuki Kawamura ◽  
Yoshiharu Matsumi ◽  
Junji Koyanagi ◽  
Takashi Satow
Keyword(s):  
Mathematical Model ◽  
Preventive Maintenance ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Reliability Engineering ◽  
Coastal Structures ◽  
Service Period ◽  
Caisson Breakwater ◽  
External Forces ◽  
Preventive Maintenance Policy

The infrastructures are required to keep a certain level of performance during the duration of service. Because the performance of the infrastructures including harbor and coastal structures deteriorates due to aging and damage that is caused by the action of external forces, it is necessary to perform appropriate maintenance. Satow et al. (2009) proposed a mathematical model for the preventive maintenance of wave dissipating blocks based on the method of the reliability engineering. They also derived the expected maintenance cost over the in service period and the optimal preventive maintenance policy. In this study, the optimal threshold for preventive maintenance to minimize the expected maintenance cost is determined for the wave dissipating blocks covering caisson breakwater by using the above model.

scholarly journals Optimizing preventive maintenance policy: A data-driven application for a light rail braking system

2017 ◽  
Vol 231 (5) ◽  
pp. 534-545 ◽  
Author(s):  
Francesco Corman ◽  
Sander Kraijema ◽  
Milinko Godjevac ◽  
Gabriel Lodewijks
Keyword(s):  
Preventive Maintenance ◽  
Data Driven ◽  
Sequential Optimization ◽  
Maintenance Cost ◽  
Light Rail ◽  
Maintenance Policy ◽  
Maintenance Costs ◽  
Braking System ◽  
Optimal Maintenance Policy ◽  
Preventive Maintenance Policy

This article presents a case study determining the optimal preventive maintenance policy for a light rail rolling stock system in terms of reliability, availability, and maintenance costs. The maintenance policy defines one of the three predefined preventive maintenance actions at fixed time-based intervals for each of the subsystems of the braking system. Based on work, maintenance, and failure data, we model the reliability degradation of the system and its subsystems under the current maintenance policy by a Weibull distribution. We then analytically determine the relation between reliability, availability, and maintenance costs. We validate the model against recorded reliability and availability and get further insights by a dedicated sensitivity analysis. The model is then used in a sequential optimization framework determining preventive maintenance intervals to improve on the key performance indicators. We show the potential of data-driven modelling to determine optimal maintenance policy: same system availability and reliability can be achieved with 30% maintenance cost reduction, by prolonging the intervals and re-grouping maintenance actions.

Optimal Preventive Maintenance Under Decision Dependent Uncertainty

2006 ◽  
Author(s):  
Alexander Galenko ◽  
Elmira Popova ◽  
Ernie Kee ◽  
Rick Grantom
Keyword(s):  
Preventive Maintenance ◽  
Time Distribution ◽  
Failure Time ◽  
South Texas ◽  
Maintenance Cost ◽  
Failure Time Distribution ◽  
Failure Times ◽  
Decision Dependent Uncertainty ◽  
Dependent Failure ◽  
Operating Company

We analyze a system of N components with dependent failure times. The goal is to obtain the optimal block replacement interval (different for each component) over a finite horizon that minimizes the expected total maintenance cost. In addition, we allow each preventive maintenance action to change the future joint failure time distribution. We illustrate our methodology with an example from South Texas Project Nuclear Operating Company.

scholarly journals ANALISIS PEMELIHARAAN MESIN PRODUKSI PADA PT. HAYCARB PALU MITRA

2020 ◽  
Vol 5 (1) ◽  
pp. 61-68
Author(s):  
Nandhika Dwi Putra ◽  
Husein Hi Moh Saleh ◽  
Asngadi Asngadi
Keyword(s):  
Technical Efficiency ◽  
Preventive Maintenance ◽  
Quantitative Methods ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Machine Maintenance ◽  
Time Period ◽  
Preventive Maintenance Policy

 This study aims to determine and analyze the maintenance of production machinery conducted PT. Haycarb Palu Partners and find out whether the policies carried out are efficient. To achieve these objectives, using statistical and mathematical quantitative methods as a tool to help decide the maintenance policy to be taken at a certain time period. The results showed that, using preventive maintenance policy on bucket elevators and rotary screnes, the lowest preventive maintenance cost (minimum) for the bucket elevators machine occurred in the 10th month of Rp.2.994. 200, -, and for the rotary screnes machine the lowest preventive maintenance cost (minimum) at month 9 is Rp.1.398.080.-. Measurement of technical efficiency, maintenance cost policy for bucket elevators machine at month six that is equal to Rp.3.675.500, -, and for maintenance cost during the year is Rp.7.351.000, -. As for rotary screnes machine maintenance cost in the sixth month that is Rp.1.589.387 and for maintenance cost for a year of Rp.3.178.774, -, then PT. Haycarb Palu Partners can implement preventive maintenance that can save costs. Penelitian ini bertujuan untuk mengetahui dan menganalisis pemeliharaan mesin produksi yang dilakukan PT. Haycarb Palu Mitra serta mengetahui apakah kebijakan yang dilakukan sudah efisien. Agar mencapai tujuan tersebut, dengan menggunakan metode kuantitatif statistik dan matematik sebagai alat untuk membantu memutuskan kebijakan pemeliharaan yang akan diambil pada suatu jangka waktu tertentu. Hasil penelitian menunjukkan bahwa, dengan menggunakan metode kebijakan pemeliharaan preventif (preventive maintenance) pada mesin bucket elevators dan mesin screnes rotary, menghasilkan biaya pemeliharaan preventif yang paling rendah (minimum) untuk mesin bucket elevators terjadi pada bulan ke-10 yaitu sebesar Rp.2.994.200,- , dan untuk mesin screnes rotary biaya pemeliharaan preventifnya yang paling rendah (minimum) pada bulan ke-9 yaitu sebesar Rp.1.398.080.-. Pengukuran efisiensi secara teknis, kebijakan biaya pemeliharaan untuk mesin bucket elevators pada bulan ke enam yaitu sebesar Rp.3.675.500,-, dan untuk biaya pemeliharaan selama setahunnya adalah Rp.7.351.000,-. Sedangkan untuk mesin screnes rotary biaya pemeliharaan pada bulan ke enam yaitu sebesar Rp.1.589.387 dan untuk biaya pemeliharaan selama setahunnya sebesar Rp.3.178.774,-, Maka PT. Haycarb Palu Mitra dapat menerapkan pemeliharaan preventif yang dapat mengemat biaya.

scholarly journals Vulnerability based management of water resources systems

2004 ◽  
Vol 6 (2) ◽  
pp. 133-156 ◽  
Author(s):  
V. K. Kanakoudis
Keyword(s):  
Water Supply ◽  
Preventive Maintenance ◽  
Water System ◽  
Supply System ◽  
Water Supply System ◽  
Maintenance Policy ◽  
Supply Networks ◽  
Water Resources Systems ◽  
Maintenance Schedule ◽  
Preventive Maintenance Policy

Must the water networks be fail-proof or must they remain safe during a failure? What must water system managers try to achieve? The present paper introduces a methodology for the hierarchical analysis (in time and space) of the preventive maintenance policy of water supply networks, using water supply system performance indices. This is being accomplished through a technical–economic analysis that takes into account all kinds of costs referring to the repair or replacement of trouble-causing parts of the water supply network. The optimal preventive maintenance schedule suggested by the methodology is compared with the empirically based maintenance policy applied to the Athens water supply system.

scholarly journals Preventive maintenance policy on leasing by considering the usage rate

2018 ◽  
Vol 204 ◽  
pp. 02016
Author(s):  
Moh. Jufriyanto ◽  
Nani Kurniati ◽  
Ade Supriatna
Keyword(s):  
Preventive Maintenance ◽  
Failure Time ◽  
Equipment Failure ◽  
Maintenance Policy ◽  
Time Duration ◽  
Maintenance Costs ◽  
Operational Conditions ◽  
Penalty Cost ◽  
Usage Rate ◽  
Preventive Maintenance Policy

The needs of the consumers about the functionality of a product and increase maintenance costs of equipment caused the prices of products and treatments to be expensive. Therefore, the company considers the lease rather than buy it. Leasing provides interesting strategy when dealing with expensive equipment. Policy maintenance that is done to the product that has decreased performance. Minimum repair done to fix failed equipment in order to return to operational condition, while imperfect preventive maintenance to improve the operational conditions of the equipment to avoid failure. Time duration for a minimum repair neglected. The lessor will charge a penalty (penalty cost) if the lease equipment failure. Mathematical model built for the minimization cost of maintenance policy. In the final part, the numerical experiment are given to show the maintenance policy taking into account the rate of usage (usage rate) by knowing the minimization the resulting costs.

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