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Articoli di riviste sul tema "Integrated maintenance"

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Autore: Grafiati

Pubblicato: 8 giugno 2024

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1

TÓTH, József. "AN INTEGRATED RESEARCH OF AIRCRAFT MAINTENANCE OFFICER COMPETENCIES". SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, n. 2 (24 giugno 2016): 775–82. http://dx.doi.org/10.19062/2247-3173.2016.18.2.40.

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2

Seaman, Harry M. "Generic Integrated Maintenance Diagnostics". IEEE Aerospace and Electronic Systems Magazine 1, n. 6 (giugno 1986): 9–12. http://dx.doi.org/10.1109/maes.1986.5005132.

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3

Raley, Glenn C., e Amy H. Lewellyn. "PHALANX Integrated Maintenance System". Naval Engineers Journal 108, n. 2 (marzo 1996): 65–67. http://dx.doi.org/10.1111/j.1559-3584.1996.tb00505.x.

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4

Karningsih, Putu Dana, Winda Puspitasari e Moses Laksono Singgih. "Cost-Integrated Lean Maintenance to Reduce Maintenance Cost". Jurnal Optimasi Sistem Industri 22, n. 1 (31 maggio 2023): 69–80. http://dx.doi.org/10.25077/josi.v22.n1.p69-80.2023.

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Abstract (sommario):

The company has always prioritized cost reduction. In this study, the researchers aimed to decrease maintenance costs by actively eliminating expensive non-value-added processes. The study employed Process and Time Driven Activity Based Costing to integrate cost with the activities performed. By conducting maintenance value stream mapping, the researchers identified various forms of waste, such as centralized maintenance, ineffective data management, poor inventory management, inadequate maintenance, under-utilization of resources, and waiting time for maintenance resources. Several alternative improvement options were proposed, and the Pugh method was used to compare and select the most promising alternatives or combinations of alternatives. The third alternative, which involves conducting internal training and implementing standard operating procedures for maintenance technicians, supervisors, and machine operators, as well as integrating an IT system for maintenance and creating an equipment and spare parts inventory database, was chosen as the highest-ranking option. The results showed that this approach reduced processing time for administrative activities, lowered corrective maintenance costs, and improved maintenance efficiency for both preventive and corrective maintenance.

5

BRANDOLESE, M., M. FRANCI e A. POZZETTI*. "Production and maintenance integrated planning". International Journal of Production Research 34, n. 7 (luglio 1996): 2059–75. http://dx.doi.org/10.1080/00207549608905013.

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6

Stevenson, Peter J. "Integrated Maintenance – The Logical Solution". Industrial Management & Data Systems 89, n. 6 (giugno 1989): 22–26. http://dx.doi.org/10.1108/eum0000000001412.

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Zhao, Shixiong, Liya Wang e Yu Zheng. "Integrating production planning and maintenance: an iterative method". Industrial Management & Data Systems 114, n. 2 (4 marzo 2014): 162–82. http://dx.doi.org/10.1108/imds-07-2013-0314.

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Purpose – Making decisions on production and maintenance separately, as is often done in practice and research literature, may not result in overall optimization. This paper aims to propose a joint method that better integrates production planning and maintenance at the tactical level. The potential of improving the performance of the classic planning method is also explored. Design/methodology/approach – An integrated production planning and maintenance model is proposed. The production capacity losses resulted from both preventive and corrective maintenance activities are considered. Meanwhile, the reliability deterioration of the machine is considered to be operation dependent. An iterative approach is presented to find a solution for the nonlinear model through iteratively solving a sequence of mixed integer linear programming instances, accompanied by modification of some parameters prior to each iteration. Computational experiments are conducted to evaluate the performance of the proposed method compared with three other methods, including two methods based on separate planning and one integrated model. Findings – The superiority of the proposed method compared with all the other three methods is demonstrated. Thus, the values of both integrated planning and considering operation-dependent failures are testified. The advantage of the proposed method is highlighted in the cases of high capacity utilization, long maintenance durations and low maintenance costs. The performance of the two methods based on separate planning is sensitive to the system utilization, and when utilization is high, the one with an availability-sensitive objective function defined for the maintenance problem performs better. Originality/value – Few studies have been carried out to integrate decisions on production lot and maintenance. Their considerations are either incomplete or not realistic enough. A more comprehensive and realistic integrated model is proposed in this paper, along with an iterative solution algorithm for it. A potential way to improve the performance of the classic planning method with its simplicity preserved is also presented.

8

Liu, Qinming, e Wenyuan Lv. "Multi-component manufacturing system maintenance scheduling based on degradation information using genetic algorithm". Industrial Management & Data Systems 115, n. 8 (14 settembre 2015): 1412–34. http://dx.doi.org/10.1108/imds-04-2015-0150.

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Purpose – The traditional maintenance scheduling strategies of multi-component systems may result in maintenance shortage or overage, while system degradation information is often ignored. The purpose of this paper is to propose a multi-phase model that better integrates degradation information, dependencies and maintenance at the tactical level. Design/methodology/approach – This paper proposes first a maintenance optimization model for multi-component systems with economic dependence and structural dependence. The cost of combining maintenance activities is lower than that of performing maintenance on components separately, and the downtime cost can be reduced by considering structural dependence. Degradation information and multiple maintenance actions within scheduling horizon are considered. Moreover, the maintenance resources can be integrated into the optimization model. Then, the optimization model adopting one maintenance activity is extended to multi-phase optimization model of the whole system lifetime by taking into account the cost and the expected number of downtime. Findings – The superiority of the proposed method compared with periodic maintenance is demonstrated. Thus, the values of both integrated degradation information and considering dependencies are testified. The advantage of the proposed method is highlighted in the cases of high system utilization, long maintenance durations and low maintenance costs. Originality/value – Few studies have been carried out to integrate decisions on degradation, dependencies and maintenance. Their considerations are either incomplete or not realistic enough. A more comprehensive and realistic multi-phase model is proposed in this paper, along with an iterative solution algorithm for it.

9

Milana, Milana, M. Khurshid Khan e J. Eduardo Munive-Hernandez. "Design and development of Knowledge Based System for Integrated Maintenance Strategy and Operations". Concurrent Engineering 25, n. 1 (30 agosto 2016): 5–18. http://dx.doi.org/10.1177/1063293x16665662.

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Abstract (sommario):

The importance of maintenance has escalated significantly by the increase in automation in manufacturing processes. This condition changed the perspective of maintenance from being considered as an inevitable cost to being seen as a key business function to drive competitiveness. Consequently, maintenance decisions need to be aligned with the business competitive strategy as well as the requirements of manufacturing/quality functions in order to support manufacturing equipment performance. Therefore, it is required to synchronise the maintenance strategy and operations with business and manufacturing/quality aspects. This article presents the design and development of a Knowledge Based System for Integrated Maintenance Strategy and Operations. The developed framework of the Knowledge Based System for Integrated Maintenance Strategy and Operations is elaborated to show how the Knowledge Based System for Integrated Maintenance Strategy and Operations can be applied to support maintenance decisions. The knowledge-based system integrates the Gauging Absences of Prerequisites methodology in order to deal with different decision-making priorities and to facilitate benchmarking with a target performance state. This is a new contribution to this area. The Knowledge Based System for Integrated Maintenance Strategy and Operations is useful in reviewing the existing maintenance system and provides reasonable recommendations for maintenance decisions with respect to business and manufacturing perspectives. In addition, it indicates the roadmap from the current state to the benchmark goals for the maintenance system.

10

Wang, Lin, Zhiqiang Lu e Xiaole Han. "Joint optimal production planning and proactive maintenance policy for a system subject to degradation". Journal of Quality in Maintenance Engineering 25, n. 2 (7 maggio 2019): 236–52. http://dx.doi.org/10.1108/jqme-11-2016-0068.

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Purpose This paper integrates condition-based maintenance (CBM) with production planning in a single-stage production system that deteriorates with usage during a specified finite planning horizon. The purpose of this paper is to develop an integrated production and maintenance model to minimize the expected total cost over the horizon. Design/methodology/approach A joint production planning and CBM model is proposed. In the model, a set of products must be produced in lots. The system degradation is a stationary gamma process and the degradation level is detected by inspection between production lots. Maintenance actions including imperfect preventive maintenance (PM) should be taken when the failure risk exceeds the maintenance threshold. A fix-iterative heuristic algorithm is proposed to address the joint model. Findings The proactive policy expressed as a prognosis maintenance threshold is introduced to integrate CBM with batch production perfectly. Experiments are carried out to conduct sensitivity analysis, which provides some insights to facilitate industrial manufacturing. The superiority of the proposed joint model compared with a separate decision method is demonstrated. The results show an advantage in cost saving. Originality/value Few studies have been made to integrate production planning and CBM decisions, especially for a multi-product system. Their maintenance decisions are usually based on a periodic review policy, which is not appropriate for batch production system. A prognosis maintenance threshold based on system condition and production quantity is suitable for the integrated decisions. Moreover, the imperfect PM is taken into consideration in this paper. A fix-iterative algorithm is developed to solve the joint model. This work forms a proactive maintenance for batch production.

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Zilinsky, Adam, e Jozef Svetlik. "MODEL OF INTEGRATED COMPREHENSIVE MAINTENANCE SYSTEM". MM Science Journal 2016, n. 03 (7 settembre 2016): 981–84. http://dx.doi.org/10.17973/mmsj.2016_09_201650.

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MUKAI, Nobuyuki, Tomomi SAKATA e Nobuyoshi YABUKI. "Integrated Contract System of Facility Maintenance". Journal of Construction Management, JSCE 12 (2005): 81–88. http://dx.doi.org/10.2208/procm.12.81.

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13

Mariano, Vittoria, Nuria Domínguez-Iturza, Lukas J. Neukomm e Claudia Bagni. "Maintenance mechanisms of circuit-integrated axons". Current Opinion in Neurobiology 53 (dicembre 2018): 162–73. http://dx.doi.org/10.1016/j.conb.2018.08.007.

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Rødseth, Harald, e Per Schjølberg. "Maintenance backlog for improving integrated planning". Journal of Quality in Maintenance Engineering 23, n. 2 (8 maggio 2017): 195–225. http://dx.doi.org/10.1108/jqme-01-2016-0002.

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Purpose The purpose of this paper is to develop a novel model for maintenance backlog (MB) of physical assets and structure it in a framework for integrated planning (IPL). Design/methodology/approach Reliability theory principles for modelling MB are used. Furthermore, to structure a framework for IPL, literature study combined with earlier case studies is used. Findings The framework for IPL facilitates the model of MB. In addition to providing real-time diagnosis indicators, MB is regarded as valuable information for decision support in IPL. Originality/value Development of MB applied to IPL.

15

Shohet, Igal M., Sarel Lavy-Leibovich e Dany Bar-On. "Integrated maintenance monitoring of hospital buildings". Construction Management and Economics 21, n. 2 (febbraio 2003): 219–28. http://dx.doi.org/10.1080/0144619032000079734.

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Yang, Ming-Feng, e Yi Lin. "Integrated inventory model with backorder and minimal repair in a supply chain". Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, n. 3 (16 maggio 2016): 546–60. http://dx.doi.org/10.1177/0954405416645997.

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This study explores the feasibility of applying an integrated inventory model with the consideration of incorporating production programs and maintenance to an imperfect process involving a deteriorating production system. The main target of this research is to build an integrated inventory model with the issues of backorder and repair. Additionally, our proposed model tries to provide an optimal number of shipments m and lower cost. Furthermore, this article offers the detailed discussion of two preventive maintenances of the production run period which are named as perfect preventive maintenance and imperfect preventive maintenance. Also, in this study, we develop various special cases that consider the failure rate such as Weibull, geometric and learning effect. Based on the results, the demand and production ratio influences the holding cost and purchase cost and has the highest impact on the integrated model.

17

Li, Xue Jun, Peng Wang e Xin Huang. "The Model of Equipment Integrated Maintenance Management Based on MES". Advanced Engineering Forum 2-3 (dicembre 2011): 749–54. http://dx.doi.org/10.4028/www.scientific.net/aef.2-3.749.

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With the development of information technology and use of intelligent sophisticated equipment. Factory automation has improved continuously, the situation of maintenance surplus and maintenance insufficient had often occurred. Through the application research of MES, in-depth understudied fault diagnosis and maintenance technology. In-depth analyzed the theory of equipment integrated maintenance in MES. Designed implementation program for equipment integrated maintenance management for MES by the thought of integrated. Used the idea of segmentation in time and space to establish the model of decomposition for maintenance target. Extraction state information of equipment and parts. Finally, designed operation framework model for equipment integrated maintenance for MES. Analyzed the mode of operation and the process integration of maintenance management detail. Establish integrated maintenance system for equipment in MES implementation to improve the effectiveness of equipment maintenance.

18

EL-FERIK, SAMI, e MOHAMMED BEN-DAYA. "INTEGRATED PRODUCTION MAINTENANCE MODEL UNDER IMPERFECT AGE-BASED MAINTENANCE POLICY AND NON-NEGLIGIBLE MAINTENANCE TIMES". Asia-Pacific Journal of Operational Research 27, n. 04 (agosto 2010): 539–58. http://dx.doi.org/10.1142/s0217595910002843.

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This paper deals with an integrated production maintenance model where preventive maintenance (PM) activities are carried out at the end of each production run or at failure, whichever of them occurs first. PM activities take a fixed amount of time. However, due to the random nature of failures, the stock built during the production period may deplete before the next production run starts, leading to some loss in demand. After N production runs, the process is replaced (or undergoes a major repair), which brings it to the "as-good-as-new" condition. A mathematical model is derived for this problem and a model analysis conducted to characterize optimal solutions. Numerical examples are used to illustrate the proposed model and conduct a sensitivity analysis with respect to key model parameters.

19

Lillerovde, Egil, Bill Sullivan e Arvind Chetty. "Risk-based coating maintenance: an integrated program". APPEA Journal 51, n. 2 (2011): 728. http://dx.doi.org/10.1071/aj10108.

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The integration of a cost-effective coating management plan into an asset integrity system is essential in ensuring asset longevity. The success of any corrosion management program relies on condition monitoring and quality auditing. Monitoring activities also contribute to maintenance plan feedback ensuring continuous improvement in corrosion management activities. It is recognised that there are many ways to organise and operate successful corrosion management programs, each of which is asset specific and depends on factors such as: Design. Stage in the life cycle. Process conditions. Operational history. AGR defines corrosion management as: “…the part of the overall management system that is concerned with the development, implementation, review and maintenance of the corrosion policy.” AGR corrosion management programs use a combination of risk-based Inspection technologies and traditional restorative maintenance activities. SOLVTM, a unique product from AGR Field Operations, is used for the management of fabric maintenance (surface coatings, insulation, passive fire protection, pipe and cable penetrations).Long-term plans: 5-year plans or longer based on client requirements. Prioritising areas and recommended maintenance intervals. Cost estimates and scope of work. Estimated condition development. Application: Treatment of component surfaces (coatings). Passive fire protection. Quality control. The benefits of the SOLVTM concept can be summarised as: Information regarding condition of maintenance objects. Preparation of fixed price maintenance plan and workpacks. Condition control through survey and audit. Cost control via quantified scope. Maintenance budget inputs for 5-year plan. Documented cost savings of 20–50 % have been realised where SOLVTM has been introduced and been used for long-term corrosion management.

20

Zhou, Binghai, e Zilong Liu. "Optimizing preventive maintenance: a deteriorating system with buffers". Industrial Management & Data Systems 116, n. 8 (12 settembre 2016): 1719–40. http://dx.doi.org/10.1108/imds-01-2016-0026.

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Purpose Making decisions on preventive maintenance (PM) policy and buffer sizing, as is often studied, may not result in overall optimization. The purpose of this paper is to propose a joint model that integrates PM and buffer sizing with consideration of quality loss for a degenerating system, which aims to minimize the average operation cost for a finite horizon. The opportunistic maintenance (OM) policy which could increase the output and decrease the cost of the system is also explored. Design/methodology/approach A joint PM and buffer size model considering quality loss is proposed. In this model, the time-based PM and the condition-based PM are taken on the upstream and the downstream machine, respectively. Further, the OM policy based on the theory of constraints (TOC) is also considered. An iterative search algorithm with Monte Carlo is developed to solve the non-linear model. A case study is conducted to illustrate the performance of the proposed PM policies. Findings The superiority of the proposed integrated policies compared with the separate PM policy is demonstrated. Effects of the policies are testified. The advantages of the proposed TOC-based OM policy is highlighted in terms of low-cost and high-output. Originality/value Few studies have been carried out to integrate decisions on PM and buffer size when taking the quality loss into consideration for degenerating systems. Most PM models treat machines equally ignoring the various roles of them. A more comprehensive and integrated model based on TOC is proposed, accompanied by an iterative search algorithm with Monte Carlo for solving it. An OM policy to further improve the performance of system is also presented.

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Shum, Yu-Su, e Dah-Chuan Gong. "DESIGN OF AN INTEGRATED MAINTENANCE MANAGEMENT SYSTEM". Journal of the Chinese Institute of Industrial Engineers 20, n. 4 (gennaio 2003): 337–54. http://dx.doi.org/10.1080/10170660309509242.

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Guan, Chongchong, Hui Lu e Yaxian Liu. "Integrated scheduling methods of maintenance support resource". Journal of Physics: Conference Series 1325 (ottobre 2019): 012077. http://dx.doi.org/10.1088/1742-6596/1325/1/012077.

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Park, Chulsoon, Dug Hee Moon, Hongsuk Sung, Junyeop Song e Jongyun Jung. "An Integrated Maintenance in Injection Molding Processes". Journal of Society of Korea Industrial and Systems Engineering 38, n. 3 (30 settembre 2015): 100–107. http://dx.doi.org/10.11627/jkise.2015.38.3.100.

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Zivaljevic, Milenko, e Dragana Becejski-Vujaklija. "Integrated information system for combat aircraft maintenance". Vojnotehnicki glasnik 48, n. 4-5 (2000): 409–16. http://dx.doi.org/10.5937/vojtehg0005409z.

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Ip, W. H., K. C. Lee, K. L. Yung e R. Yam. "SCADA in an integrated maintenance management system". Journal of Quality in Maintenance Engineering 6, n. 1 (marzo 2000): 6–19. http://dx.doi.org/10.1108/13552510010311309.

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FAHRENKRUG, THOMAS P. "Total Integrated Fleet Maintenance and Support Database". Naval Engineers Journal 105, n. 2 (marzo 1993): 53–58. http://dx.doi.org/10.1111/j.1559-3584.1993.tb02261.x.

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27

Jbili, S., A. Chelbi, M. Radhoui e M. Kessentini. "Integrated strategy of Vehicle Routing and Maintenance". Reliability Engineering & System Safety 170 (febbraio 2018): 202–14. http://dx.doi.org/10.1016/j.ress.2017.09.030.

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Prickett, P. W. "An integrated approach to autonomous maintenance management". Integrated Manufacturing Systems 10, n. 4 (agosto 1999): 233–43. http://dx.doi.org/10.1108/09576069910280611.

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Kunz, J. C., Yan Jin, R. E. Levitt, S. D. Lin e P. M. Teicholz. "Support for integrated value-based maintenance planning". IEEE Expert 11, n. 4 (agosto 1996): 35–44. http://dx.doi.org/10.1109/64.511775.

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Kerzerho, J. P., F. Antues, J. P. Gerval, E. L. Cardoso e J. Tisseau. "Prototyping an Integrated System for Predictive Maintenance". IFAC Proceedings Volumes 28, n. 10 (luglio 1995): 883–87. http://dx.doi.org/10.1016/s1474-6670(17)51632-8.

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Rawat, Manish, e Bhupesh Kumar Lad. "An integrated strategy for fleet maintenance planning". Journal of Quality in Maintenance Engineering 23, n. 4 (9 ottobre 2017): 457–78. http://dx.doi.org/10.1108/jqme-03-2016-0013.

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Abstract (sommario):

Purpose Conventionally, fleet maintenance decisions are made based on the level of repair (LOR) analysis. A general assumption made during LOR analysis is the consideration of the lifetime distribution with constant failure rate (CFR). However, industries do use preventive maintenance (PM) to extend the life of such components, which in turn may affect the LOR decisions such as repair/move/discard. The CFR assumption does not allow the consideration of effect of PM in LOR analysis. The purpose of this paper is to develop a more practical LOR analysis approach, considering the time-dependent failure rate (TDFR) of components and the effect of PM. Design/methodology/approach In the proposed methodology, first, a detailed life cycle model considering the effect of various parameters related to LOR and PM is developed. A simulation-based genetic algorithm approach is then used to obtain an integrated solution for LOR and PM schedule decisions. The model is also evaluated for the various cases of quality of maintenance measured in terms of degree of restoration. Findings The results, from the illustrative example for a multi-indenture and multi-echelon fleet maintenance network, show that the proposed integrated strategy leads to better LCC performance compare to the conventional approach. Additionally, it is identified that the degree of restoration also affects the PM schedule as well as LOR decisions of the fleet system. Therefore, consideration of TDFR is important to truly optimize the LOR decisions. The proposed approach can be applied to fleet of any equipment. Research limitations/implications The approach is illustrated using a hypothetical example of an industrial system. A more complex system structure in terms of number of machines, types of machines (identical vs non-identical), number of echelons, possible repair actions at various echelons, etc. may be present for a particular industrial case. However, the approach presented is generic and can be extended to any system. Moreover, the aim of the paper is to highlight the importance of the considering PM and quality of maintenance in LOR decision making. Originality/value To the best of the authors’ knowledge, this is the first work which considers the effect of PM and quality of maintenance on LOR analysis. Consideration of TDFR and imperfect maintenance while optimizing LOR decisions is a complex problem. Thus, the work is of high significance from the research point of view. Also, most of the real life fleet systems use PM to extend the life of the equipment. Thus, present paper is a more practical approach for LOR analysis of such systems.

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Iijima, Hiroki, e Shozo Takata. "Condition based renewal and maintenance integrated planning". CIRP Annals 65, n. 1 (2016): 37–40. http://dx.doi.org/10.1016/j.cirp.2016.04.106.

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Gouiaa-Mtibaa, A., S. Dellagi, Z. Achour e W. Erray. "Integrated Maintenance-Quality strategies with reworking activities". IFAC-PapersOnLine 49, n. 28 (2016): 61–66. http://dx.doi.org/10.1016/j.ifacol.2016.11.011.

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Yang, Ruifeng, Jianshe Kang e Qiwei Hu. "Integrated maintenance policy optimization with finite spares". International Journal of System Assurance Engineering and Management 9, n. 5 (26 aprile 2018): 1014–21. http://dx.doi.org/10.1007/s13198-018-0718-9.

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Pattison, D., M. Segovia Garcia, W. Xie, F. Quail, M. Revie, R. I. Whitfield e I. Irvine. "Intelligent integrated maintenance for wind power generation". Wind Energy 19, n. 3 (6 maggio 2015): 547–62. http://dx.doi.org/10.1002/we.1850.

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Ismail, Zul-Atfi. "An Integrated Computerised Maintenance Management System (I-CMMS) for IBS building maintenance". International Journal of Building Pathology and Adaptation 37, n. 3 (10 giugno 2019): 326–43. http://dx.doi.org/10.1108/ijbpa-10-2017-0049.

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Abstract (sommario):

Purpose The purpose of this paper is to focus on the development of an integrated computerised maintenance management system to improve the information storage of design and construction, diagnostic and defect risk assessments on IBS building through the integration of building information modelling (BIM). Design/methodology/approach The methodology used interviews with the IBS building client/maintenance contractor in Malaysia to gather information about maintenance management problems, approaches to address problems, information and communication technology implementation and use of emerging technologies, in addition to prototyping a system development life cycle for system development. Findings Relevant process flowchart documents of system development were obtained from the case study and reviewed to assist in providing an automation technique for decision-making and structural defect diagnostic operation through the integration of Visual Basic.Net, MS Access and Autodesk Revit software. Originality/value This research focuses on automatic bidirectional communications between an Expert System and BIM on a database level. Adoption of the approaches suggested in the research will enable the system to promote the development of zero IBS building maintenance.

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Gouiaa-Mtibaa, A., S. Dellagi, Z. Achour e W. Erray. "Integrated Maintenance-Quality policy with rework process under improved imperfect preventive maintenance". Reliability Engineering & System Safety 173 (maggio 2018): 1–11. http://dx.doi.org/10.1016/j.ress.2017.12.020.

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Szpytko, Janusz, e Yorlandys Salgado Duarte. "Integrated maintenance platform for critical cranes under operation: Database for maintenance purposes". IFAC-PapersOnLine 53, n. 3 (2020): 167–72. http://dx.doi.org/10.1016/j.ifacol.2020.11.027.

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Yoshimura, Shinobu, Kazuo Furuta, Yoshihiro Isobe, Mitsuyuki Sagisaka, Michiyasu Noda, Tetsuya Wada e Hiroshi Akiba. "ICONE15-10083 AN INTEGRATED SIMULATOR FOR THE MAINTENANCE OPTIMIZATION OF LIGHT WATER REACTORS". Proceedings of the International Conference on Nuclear Engineering (ICONE) 2007.15 (2007): _ICONE1510. http://dx.doi.org/10.1299/jsmeicone.2007.15._icone1510_36.

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Isobe, Yoshihiro, Mitsuyuki Sagisaka, Junji Etoh, Takashi Matsunaga, Toru Kosaka, Satoshi Matsumoto e Shinobu Yoshimura. "ICONE23-1644 APPLICATION OF DR. MAINTE, INTEGRATED SIMULATOR OF MAINTENANCE OPTIMIZATION, TO LWRS". Proceedings of the International Conference on Nuclear Engineering (ICONE) 2015.23 (2015): _ICONE23–1—_ICONE23–1. http://dx.doi.org/10.1299/jsmeicone.2015.23._icone23-1_316.

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Li, Li Sheng, Jia Yu Cai e Xiao Mei Hu. "Research on Integrated and Comprehensive Service System of Operation and Maintenance of Petrochemical Units". Applied Mechanics and Materials 433-435 (ottobre 2013): 1639–42. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1639.

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Abstract (sommario):

In order to realize the goal of one-stop operation service in the petrochemical industry, according to the integrated device operation and maintenance mode of the domestic large and complex petrochemical industry units, integrated and comprehensive service system of operation and maintenance of petrochemical units is designed. Three subsystems of operation and maintenance management, preventive maintenance, maintenance emergency response are designed into an integrated and comprehensive service system. The system has the characteristics of being integrated, open, easy to extend and maintain. The system is developed and implemented in the petrochemical corporation and has a good prospect of application.

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Sa’ad, Aisha, Aimé C. Nyoungue e Zied Hajej. "An Integrated Production/Maintenance Optimization Planning of a Stand-alone Wind Energy System for Rural Electrification". E3S Web of Conferences 433 (2023): 02002. http://dx.doi.org/10.1051/e3sconf/202343302002.

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The renewable energy industry has gained so much attention due to the global importance attached to it. However, these sources are volatile in nature, hence, it is important to properly plan the production system to ensure continuity. This work focused on production and maintenance of wind energy system as a stand-alone system for rural electrification. The methodology for power production forecast in this work is optimization using machine learning technique; support vector regression (SVR) and estimation from theoretical technique. The production optimization is aimed to determine the optimal number of panels and batteries required to satisfy the random demand at minimal cost. In order to improve the system functionality and minimize failure, an integrated preventive maintenance model was developed to determine the optimal number of maintenances to be performed. Thus, scheduling optimal time to perform the preventive maintenance. The maintenance model is integrated with the power production rate to determine the maintenance cost. A numerical simulation was presented in order to test the developed algorithm using a case study in Katsina, Nigeria.

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Chen, Xiaohui, Lei Xiao, Xinghui Zhang, Weixiao Xiao e Junxing Li. "An integrated model of production scheduling and maintenance planning under imperfect preventive maintenance". Eksploatacja i Niezawodnosc - Maintenance and Reliability 17, n. 1 (1 gennaio 2015): 70–79. http://dx.doi.org/10.17531/ein.2015.1.10.

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44

Shao Zhifang, Sun Lu e Li Fujuan. "Optimization Model Integrated Flight Schedule and Maintenance Plans". INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, n. 3 (15 febbraio 2013): 784–90. http://dx.doi.org/10.4156/aiss.vol5.issue3.91.

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45

Horváth, Csaba. "Integrated maintenance management model in the printing industry". Journal of Graphic Engineering and Design 1, n. 1 (novembre 2010): 16–22. http://dx.doi.org/10.24867/jged-2010-1-016.

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46

Ettaye, Ghita, Abdellah El Barkany e Ahmed El Khalfi. "Modeling and Optimization a Production/Maintenance Integrated Planning". International Journal of Engineering Research in Africa 28 (gennaio 2017): 169–81. http://dx.doi.org/10.4028/www.scientific.net/jera.28.169.

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Abstract (sommario):

This study is on the integrated planning problem of maintenance and production within the frame work of a system subject to periodic preventive replacements with minimal repairs in case of unplanned failures. A model was developed using the overall cost by considering the interdependence between the maintenance plan and the production schedule. The overall cost contains two parts: the costs of launching a product, production, storage and breaking on the demand and the preventive and corrective maintenance costs for multi-periods and multi-products systems. The purpose of this integration is to find simultaneously the optimal cycle T at which the preventive maintenance takes place and the optimal values of lot-size by adding the setup time constraint. Using the mixed integer linear programming these optimal values minimize the total cost over a finite horizon. The results show that the proposed model performs quite well and opens new research direction for future improvements.

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Miquelon, Paule, e Alexandre Castonguay. "Integrated regulation, behavior consistency, and physical activity maintenance." Motivation Science 3, n. 1 (marzo 2017): 76–90. http://dx.doi.org/10.1037/mot0000049.

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48

Pymm, P. "Integrated Software Maintenance Environment for Safety-Related Systems". Measurement and Control 26, n. 3 (maggio 1993): 73–75. http://dx.doi.org/10.1177/002029409302600303.

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Yau, S. S., R. A. Nicholl, J. J. P. Tsai e S. S. Liu. "An integrated life-cycle model for software maintenance". IEEE Transactions on Software Engineering 14, n. 8 (1988): 1128–44. http://dx.doi.org/10.1109/32.7624.

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50

Sitompul, Carles, e El‐Houssaine Aghezzaf. "An integrated hierarchical production and maintenance‐planning model". Journal of Quality in Maintenance Engineering 17, n. 3 (16 agosto 2011): 299–314. http://dx.doi.org/10.1108/13552511111157407.

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