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Journal articles on the topic 'Maintenance'

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Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Prabhakar P, Deepak, and Dr Jagathy Raj V. P. Dr. Jagathy Raj V. P. "Accelerated Reliability Centered Maintenance: A New Maintenance Strategy." Indian Journal of Applied Research 3, no. 12 (October 1, 2011): 261–65. http://dx.doi.org/10.15373/2249555x/dec2013/78.

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2

Bronnikov, A. M. "TECHNICAL MAINTENANCE EFFICIENCY OF THE AIRCRAFT MAINTENANCE-FREE ON-BOARD SYSTEM BETWEEN SCHEDULED MAINTENANCES." Civil Aviation High TECHNOLOGIES 20, no. 6 (January 1, 2017): 89–98. http://dx.doi.org/10.26467/2079-0619-2017-20-6-89-98.

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3

Muzakkir, S. M., and Harish Hirani. "Maintenance Free Bearings." International Journal of Engineering Research 4, no. 3 (March 1, 2015): 133–36. http://dx.doi.org/10.17950/ijer/v4s3/311.

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4

Singh, Samandar, Prof D. S. Kumani Prof. D. S. Kumani, and Ved Parkash. "Total Productive Maintenance." International Journal of Scientific Research 2, no. 3 (June 1, 2012): 152–53. http://dx.doi.org/10.15373/22778179/mar2013/48.

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5

KUZIOR, Paulina. "MAINTENANCE OBLIGATION IN POLAND." Scientific Papers of Silesian University of Technology. Organization and Management Series 2018, no. 122 (2018): 111–20. http://dx.doi.org/10.29119/1641-3466.2018.122.12.

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6

JACOBS, KENNETH S. "Maintenance Engineering for Maintenance Managers." Naval Engineers Journal 105, no. 4 (July 1993): 143–51. http://dx.doi.org/10.1111/j.1559-3584.1993.tb02316.x.

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7

Jacobs, K. S., and J. P. McComas. "Maintenance Avoidance and Maintenance Reduction." Naval Engineers Journal 109, no. 1 (January 1997): 47–66. http://dx.doi.org/10.1111/j.1559-3584.1997.tb01930.x.

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8

SAKAI, Tadao. "Life Cycle Maintenance. Aircraft Maintenance." Journal of the Japan Society for Precision Engineering 65, no. 3 (1999): 373–76. http://dx.doi.org/10.2493/jjspe.65.373.

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9

Simion, Dragoș. "Maintenance onboard ships using computer maintenance management system." Scientific Bulletin of Naval Academy XXIII, no. 1 (July 15, 2020): 134–41. http://dx.doi.org/10.21279/1454-864x-20-i1-017.

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The importance and the role of the maintenance process are based on keeping the equipment and systems in an operative state of readiness. On the other hand, the knowledge of legislative framework, as well as the learning the practical skills lead to the successful application of the maintenance programs within the organizations. Regarding these aspects, the present paper addresses the topic of maintenance onboard ships. The general legislative framework for management and execution of the maintenance process specific to the maritime domain is presented, as well as the methods implemented onboard ships. It is described how to perform the maintenance of the equipment for a special ship using a computer maintenace management softwere. The study takes into account the constructive features, the equipment and the missions of the ship.

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10

Kan, Jack. "“Maintenance”." Anesthesia & Analgesia 134, no. 6 (May 10, 2022): 1337. http://dx.doi.org/10.1213/ane.0000000000005830.

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11

Stebbins, Ethan. "Maintenance." Hudson Review 56, no. 4 (2004): 645. http://dx.doi.org/10.2307/3852958.

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12

Maloney, Dana Holley. "Maintenance." English Journal 83, no. 2 (February 1994): 91. http://dx.doi.org/10.2307/821169.

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13

Bos, C. W. J., and H. D. G. Winkels. "Maintenance." Batiment International, Building Research and Practice 18, no. 6 (November 1990): 361–66. http://dx.doi.org/10.1080/01823329008727074.

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14

Leightner, Jonathan E. "Maintenance." Journal of Applied Economics 4, no. 1 (May 2001): 107–24. http://dx.doi.org/10.1080/15140326.2001.12040560.

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15

Gilson, William. "Maintenance." New England Review 35, no. 4 (2015): 11–28. http://dx.doi.org/10.1353/ner.2015.0007.

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16

Seidler, Armond H. "Maintenance." Journal of Physical Education, Recreation & Dance 58, no. 1 (January 1987): 38–42. http://dx.doi.org/10.1080/07303084.1987.10609474.

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17

Ephgrave, Kimberly S. "Maintenance." JAMA 304, no. 6 (August 11, 2010): 615. http://dx.doi.org/10.1001/jama.2010.1118.

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18

HOPP, WALLACE J., and SUNG-CHI WU. "Machine Maintenance with Multiple Maintenance Actions." IIE Transactions 22, no. 3 (September 1990): 226–33. http://dx.doi.org/10.1080/07408179008964177.

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19

UMEDA, Yasushi. "Life Cycle Maintenance. Maintenance Management Technologies." Journal of the Japan Society for Precision Engineering 65, no. 3 (1999): 356–59. http://dx.doi.org/10.2493/jjspe.65.356.

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20

Duan, Chaoqun, Chao Deng, Abolfazl Gharaei, Jun Wu, and Bingran Wang. "Selective maintenance scheduling under stochastic maintenance quality with multiple maintenance actions." International Journal of Production Research 56, no. 23 (February 15, 2018): 7160–78. http://dx.doi.org/10.1080/00207543.2018.1436789.

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21

Lin, Zixin, Robin Smith, and Qiying Scarlett Yin. "A New Maintenance Strategy of Combining Preventive Maintenance and Opportunistic Maintenance." Safety and Reliability 28, no. 3 (June 2008): 28–48. http://dx.doi.org/10.1080/09617353.2008.11690861.

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22

Krit, Makram. "General Independent Competing Risks for Maintenance Analysis." Stochastics and Quality Control 37, no. 2 (November 25, 2022): 117–26. http://dx.doi.org/10.1515/eqc-2022-0029.

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Abstract Repairable systems are submitted to corrective maintenance and condition-based preventive maintenance actions. Condition-based preventive maintenance occurs at times which are determined according to the results of inspections and degradation or operation controls. The generalization of the models suggested makes it possible to integrate the dependence between corrective and preventive maintenances. In order to take into account this dependency and the possibility of imperfect maintenances, generalized competing risks models have been presented in Doyen and Gaudoin (2006). In this study, we revise the general case in which the potential times to next corrective and preventive maintenance are independent conditionally to the past of the maintenance process. We address the identifiability issue and we find a result similar to that of Zhou, Lu, Shi and Cheng (2018) for usual competing risks. We propose realistic models with exponential risks and derive their likelihood functions.

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23

Pathak, Anjani Kumar, Kopal Goel, Vijay Shakya, Arunesh Kumari Tiwari, and Sagar Sareen. "Implant Maintenance: The Periodontist’s Perspective." Indian Journal of Dental Education 9, no. 3 (2016): 159–63. http://dx.doi.org/10.21088/ijde.0974.6099.9316.3.

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24

Savsar, Mehmet. "Simulation Analysis of the Effects of Maintenance Policies on Manufacturing Line Productivity." Applied Mechanics and Materials 390 (August 2013): 646–52. http://dx.doi.org/10.4028/www.scientific.net/amm.390.646.

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A manufacturing line consists of a series of machines, which are subject to failures due to component deterioration and other random causes. While failures due to random causes are inevitable and need corrective maintenance (CM), failures due to component deterioration can be avoided by preventive maintenance (PM). Both types of maintenances can cause significant production losses, particularly if a proper PM policy is not practiced. Productivity calculations of multi-stage lines with storage units and maintenance operations can be quite complex. Furthermore, closed form solutions in equation forms are not possible when both preventive and corrective maintenances are incorporated into the model. In this paper, a simulation model is presented for a multi-stage line and line productivity is evaluated under different operating conditions and maintenance policies.

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25

Lua, Yang, Liping Suna, Jichuan Kanga, and Xinyue Zhang. "Maintenance Grouping Optimization for Offshore Wind Turbine Considering Opportunities Based on Rolling Horizon Approach." Polish Maritime Research 25, no. 2 (June 1, 2018): 123–31. http://dx.doi.org/10.2478/pomr-2018-0063.

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Abstract In future, offshore wind turbines may be consider a crucial part in the supply of energy. Maintenance processes are directed to attain a safe and reliable operation of offshore machines and wind turbines. In this paper, an opportunistic maintenance strategy for offshore wind turbine is proposed, considering imperfect maintenance and the preventive maintenance durations. Reliability Centric Maintenance serves as a proactive tactic to operations and maintenance by inhibiting the possible reasons of poor performance and controlling failures. Other components can implement the opportunistic preventive maintenances if one component has reached its reliability threshold. According to the rolling horizon approach, it is of great importance to update the maintenance planning for the sake of the short-term information. By figuring out the best combination, the maintenance schedule in the mission time has been finally determined. Failure information are obtained from previous studies to accomplish the calculations. The outcomes indicate that the maintenance cost has been dramatically reduced through the application of opportunistic maintenance.

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26

Mutlu Öztürk, H., and H. K. Öztürk. "Maintenance and maintenance management systems in accommodation." Journal of Achievements in Materials and Manufacturing Engineering 2, no. 96 (October 1, 2019): 83–93. http://dx.doi.org/10.5604/01.3001.0013.7938.

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Purpose: of this study is to address the issue of maintenance work in the accommodation sector. The development of the means of transport, the increase in income level and the increase in comfort level create a desire for people to travel more. In the travels to different cities, accommodation facilities such as hotels, holiday villages and apartments are used. Customer satisfaction is very important for the accommodation facilities. In order to ensure customer satisfaction, the services provided should not be interrupted and all machinery and equipment must be in working condition. To ensure this, it is very important to carry out maintenance work on the plants and devices. Therefore, the establishment of a maintenance management system in accommodation facilities is very important and it is necessary to carry out maintenance work. In this context, different maintenance methods are applied in accommodation facilities. In this study, maintenance of accommodation facilities is discussed. Design/methodology/approach: Within the scope of the study, maintenance and maintenance management in accommodation facilities are discussed. The maintenance principles of accommodation facilities are discussed in detail. The places where maintenance services are conducted in accommodation facilities and maintenance methods are discussed. Findings: This study shows that that the implementation of maintenance management system will increase customer satisfaction. It has been evaluated that maintenance can be successful not only by maintenance personnel but also with the participation of all plant employees. Research limitations/implications: In order to see the importance of maintenance in accommodation facilities, it will be appropriate to compare the hotels with the maintenance management system applied and the hotels that are not implemented in terms of customer satisfaction and maintenance expenses. For the future studies, the maintenance management system in hotels can be examined in detail. Practical implications: Expanding the maintenance management practices in accommodation facilities will increase the capacity utilization rate of the hotels and increase customer satisfaction. Originality/value: In the field of maintenance, detailed studies have been carried out in the manufacturing sector for a long time and have been examined in detail. However, work in this area is quite limited, especially in accommodation facilities and hotels. In this study, the subject of accommodation facilities and maintenance of hotels was discussed in detail.

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27

Thomas, Édouard, Éric Levrat, Benoit Iung, and Pierre Cocheteux. "Opportune maintenance and predictive maintenance decision support." IFAC Proceedings Volumes 42, no. 4 (2009): 1603–8. http://dx.doi.org/10.3182/20090603-3-ru-2001.0368.

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28

Chung, Kevin C., Philip J. Clapham, and Donald H. Lalonde. "Maintenance of Certification, Maintenance of Public Trust." Plastic and Reconstructive Surgery 127, no. 2 (February 2011): 967–73. http://dx.doi.org/10.1097/prs.0b013e318200ab61.

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29

Al-Shayea, Adel M. "Maintenance Capacity Planning: Determination of Maintenance Workforce." Engineering 04, no. 01 (2012): 37–43. http://dx.doi.org/10.4236/eng.2012.41006.

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30

Sidney, R. "Planned preventive maintenance and the maintenance contractor." Property Management 10, no. 1 (January 1992): 10–16. http://dx.doi.org/10.1108/02637479210030196.

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31

Zhao, Jing, and Jianchao Zeng. "Group maintenance strategy for stochastic selective maintenance." International Journal of Wireless and Mobile Computing 14, no. 4 (2018): 362. http://dx.doi.org/10.1504/ijwmc.2018.093847.

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32

Wu, Shaomin, and Derek Clements-Croome. "Preventive maintenance models with random maintenance quality." Reliability Engineering & System Safety 90, no. 1 (October 2005): 99–105. http://dx.doi.org/10.1016/j.ress.2005.03.012.

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33

KITA, Ryohei. "Life Cycle Maintenance. Maintenance for Control Systems." Journal of the Japan Society for Precision Engineering 65, no. 3 (1999): 360–63. http://dx.doi.org/10.2493/jjspe.65.360.

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34

Sauter, C. "Maintenance or no maintenance treatment in AML?" Journal of Clinical Oncology 6, no. 9 (September 1988): 1521–22. http://dx.doi.org/10.1200/jco.1988.6.9.1521.

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35

Iyoob, Ilyas Mohammed, C. Richard Cassady, and Edward A. Pohl. "Establishing Maintenance Resource Levels Using Selective Maintenance." Engineering Economist 51, no. 2 (July 2006): 99–114. http://dx.doi.org/10.1080/00137910600695627.

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36

Jayabalan, V., and Dipak Chaudhuri. "Optimal maintenance—replacement policy under imperfect maintenance." Reliability Engineering & System Safety 36, no. 2 (January 1992): 165–69. http://dx.doi.org/10.1016/0951-8320(92)90096-4.

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37

Wasserman, Stephen I. "Maintenance of certification and maintenance of professionalism." Journal of Allergy and Clinical Immunology 128, no. 3 (September 2011): 465–66. http://dx.doi.org/10.1016/j.jaci.2011.03.018.

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38

Karim, Ramin, Jesper Westerberg, Diego Galar, and Uday Kumar. "Maintenance Analytics – The New Know in Maintenance." IFAC-PapersOnLine 49, no. 28 (2016): 214–19. http://dx.doi.org/10.1016/j.ifacol.2016.11.037.

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39

Ilyas Mas'udin, M. Eartono,. "Perencanaan Perawatan Mesin dengan Metode Markov Chain Guna Menurunkan Biaya Perawatan." Jurnal Teknik Industri 3, no. 2 (April 26, 2010): 173. http://dx.doi.org/10.22219/jtiumm.vol3.no2.173-184.

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Problem often faced by a fertilizer bagging machine unit is the inegularity of machinemaintenance in which the machine is operated continuously until it damages and can not beoperated any longer. It will result in relatively high down time cost.To solvet his problem we propose a machine maintenance planing based upon data acquired by using Markov Chain Method.There are four types of maintenance we propose they are:l. Maintenance planing with corrective maintenance or high level of damage condition and preventive maintenance or mediurn le vel ofdamage condition.2. Maintenancep laningw ith correctivem aintenancfeo r high and medium level of damageconditiona ndp reventivem aintenancfeo r low levelo fdamagec ondition.3. Maintenance planing with corrective maintenance or high level of damage condition andpreventive maintenance or medium and low level of damage condition4. Maintenance planing with corrective maintenance or high and medium level of damage condition.To determine the best proposal that will be selected we use analysis of preventive maintenance cost and corrective maintenance cost that will result in expected cost for eachmachine.From the four proposals one with the least expected cost is chosen that is planing with corrective maintenance for high level of damage condition and preventive maintenance formedium and low level ofdamage condition.

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40

Kim, Sun-Kyum, Inchul Yang, and Gyuwon Song. "Maintenance Cost Analysis of Road Maintenance Information System through Road Maintenance Information Index." Journal of Digital Contents Society 22, no. 11 (November 30, 2021): 1913–22. http://dx.doi.org/10.9728/dcs.2021.22.11.1913.

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41

Hipkin, I. B. "A comparison of two maintenance strategies: Reliability-centred maintenance and total productive maintenance." South African Journal of Business Management 24, no. 4 (December 31, 1993): 124–29. http://dx.doi.org/10.4102/sajbm.v24i4.873.

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Improvements in the manufacturing sector have been attained through the use of a variety of management interventions. These have all concentrated on materials management and the production process. One functional area that has been neglected is the maintenance of physical assets. In this article two maintenance management approaches are compared from a philosophical and strategic point of view: reliability-centred maintenance (RCM) and total productive maintenance (TPM). The two are conceptually different, although there are common elements. Reliability-centred maintenance provides a structured methodology and concentrates on technical issues such as failure consequences and the technical feasibility and effectiveness of maintenance, with some emphasis on the human factors. Total productive maintenance seeks to maximize equipment effectiveness by the complete elimination of failures and relies on the work of autonomous groups. Much emphasis is placed on the human component From a strategic point of view, both approaches require organizational changes which may result in a dilution of managerial power.

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42

Fakrunnisa, Iffah Ariqoh, Yusuf Latief, and Nurul Inayah Wardahni. "Public railway depot maintenance and maintenance work based on work breakdown structure (WBS) to improve maintenance and maintenance performance." International research journal of engineering, IT & scientific research 10, no. 4 (June 30, 2024): 77–86. http://dx.doi.org/10.21744/irjeis.v10n4.2443.

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Maintenance and upkeep of railway facilities is important to reduce the risk of work accidents. However, in some cases, there is equipment that is damaged and the equipment is very old. This is due to a lack of attention to public railway depot maintenance and maintenance work. This research discusses the evaluation of financing for maintenance and upkeep work, where in reality in the field, many railway maintenance facilities cannot be used properly due to negligence in the maintenance process. The aim of this research is to improve the maintenance and maintenance performance of railway depots in the aspects of structural buildings, rails and equipment supporting maintenance of railway facilities. The method used in this research is a literature review, case study, and survey conducted by distributing questionnaires to several experts, namely those carrying out maintenance activities at PT Kereta Api Indonesia (Persero), PT LRT Jakarta, and several sources who participated in the construction of the railway depot. The results of this research are the WBS of maintenance and upkeep work which is used to improve the maintenance and maintenance performance of railway depots.

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43

Yang, Baokui, Xiaosheng Si, Hong Pei, Jianxun Zhang, and Huiqing Li. "Joint Optimization Strategy of Condition-Based Maintenance and Spare Parts Ordering for Nonlinear Degraded Equipment under Imperfect Maintenance." Machines 10, no. 11 (November 8, 2022): 1041. http://dx.doi.org/10.3390/machines10111041.

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When existing methods consider the impact of the imperfect maintenance activities on random degraded equipment, they usually assume that the degraded equipment is linear, and set the number of imperfect maintenance activities in advance. However, in engineering practice, most of the degraded equipment is nonlinear, and the number of imperfect maintenance activities has an impact on the development of maintenance strategies. Therefore, this paper proposes a new joint maintenance strategy considering the uncertainty of the number of imperfect maintenance activities for nonlinear degraded equipment. First, nonlinear degradation data are linearized based on Box–Cox transformation (BCT), and the degradation model under the influence of imperfect activities is constructed by the random coefficient regression model. Accordingly, the remaining useful life (RUL) probability distribution can be derived. Secondly, the number of maintenances is calculated by imperfect maintenance level and success probability. Then, the detection cycle, preventive maintenance threshold and maintenance times are taken as decision variables. The optimization objective is to minimize the expected average cost. However, this is restricted by availability and probability of success for imperfect maintenance activities. A multi-objective joint optimization model of condition-based maintenance and spare parts ordering is constructed. Finally, the analysis results based on numerical examples verify the feasibility of the proposed joint optimization strategy.

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44

LIM, JAE-HAK, and DONG HO PARK. "OPTIMAL PERIODIC PREVENTIVE MAINTENANCE SCHEDULES WITH IMPROVEMENT FACTORS DEPENDING ON NUMBER OF PREVENTIVE MAINTENANCES." Asia-Pacific Journal of Operational Research 24, no. 01 (February 2007): 111–24. http://dx.doi.org/10.1142/s0217595907001139.

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This paper considers a periodic preventive maintenance policy under which each preventive maintenance (PM) reduces the hazard rate of the repairable system, while keeping the pattern of hazard rate unchanged. For this model, the hazard rate at a given time t is affected by the improvement factor which depends on the number of PMs conducted until t. In addition to the periodic preventive maintenance, the system undergoes the minimal repair at each failure between the preventive maintenances. We derive mathematical formulas to evaluate the expected cost rate per unit time by computing the expected number of failures depending on the hazard rate of the underlying life distribution of the system. Assuming that the system is replaced by a new one at the N-th preventive maintenance, the optimal values of N and the preventive maintenance period, which minimize the expected cost rate, are solved and thus the best schedules for the periodic preventive maintenance policy are established. Explicit solutions for the optimal schedule for the periodic preventive maintenance are presented when the failure times follow the Weibull distribution.

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45

Fatima, Tanveer, Asad Mehmood, Pankaj Datta, and Sonia Datta. "Maintenance of Dental Implants: A Review." Indian Journal of Dental Education 12, no. 1 (2019): 23–31. http://dx.doi.org/10.21088/ijde.0974.6099.12119.5.

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46

Kumar, Yogesh, Sayed Md Mumtaz, and Mustaq Ahmad. "HPLC: Principle and Maintenance with Application." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 1618–26. http://dx.doi.org/10.31142/ijtsrd17134.

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47

Rani, Dr T. Chitrakala, and C. Sukumari. "Maintenance Model for an Automobile System." SIJ Transactions on Industrial, Financial & Business Management 06, no. 06 (December 18, 2018): 01–03. http://dx.doi.org/10.9756/sijifbm/v6i6/0102560102.

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48

Doyle, E. Kevin, Vesa Tuomi, and Ian Rowley. "ICONE15-10441 Initiating Statistical Maintenance Optimization." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2007.15 (2007): _ICONE1510. http://dx.doi.org/10.1299/jsmeicone.2007.15._icone1510_234.

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49

Ratul, MD Rakibul Islam. "MMS Predictive Maintenance Big Data Analytics." International Journal of Research Publication and Reviews 4, no. 4 (April 3, 2023): 279–83. http://dx.doi.org/10.55248/gengpi.2023.4.4.34665.

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50

G Boralkar S, Revatee. "Pavement Proactive Maintenance Utilizing Micro - Surfacing." International Journal of Science and Research (IJSR) 12, no. 6 (June 5, 2023): 2393–96. http://dx.doi.org/10.21275/sr23619160210.

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