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Статті в журналах з теми "Information maintenance"

Автор: Grafiati

Опубліковано: 28 травня 2022

Оновлено: 31 липня 2025

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1

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 (2021): 1913–22. http://dx.doi.org/10.9728/dcs.2021.22.11.1913.

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2

Pilz, Michael, Martin Ebner, and Josef Wachtler. "Information Systems Maintenance." International Journal of Emerging Technologies in Learning (iJET) 18, no. 15 (2023): 67–78. http://dx.doi.org/10.3991/ijet.v18i15.40919.

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Анотація:

This work deals with the maintenance of information systems—specifically, with the maintenance of information systems that have a focus on teaching and learning. Depending on the context of an information system, there are different influencing factors for the maintenance of these systems. This work clarifies how the maintenance activities and their influencing factors differ in an information system for teaching and learning from other information systems, or why some influencing factors are particularly more important. The first step is to understand what maintenance means, why there is a ne

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3

Skybinska, Z., and T. Gryniv. "Types of economic analysis and its information maintenance." Economics, Entrepreneurship, Management 5, no. 2 (2018): 39–50. http://dx.doi.org/10.23939/eem2018.02.039.

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4

Möhring, Michael, Rainer Schmidt, Barbara Keller, Kurt Sandkuhl, and Alfred Zimmermann. "Predictive Maintenance Information Systems." International Journal of Enterprise Information Systems 16, no. 2 (2020): 22–37. http://dx.doi.org/10.4018/ijeis.2020040102.

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Predictive maintenance has the potential to improve the reliability of production and service provisioning. However, there is little knowledge about the proper implementation of predictive maintenance in research and practice. Therefore, we conducted a multi-case study and investigated underlying conditions and technological aspects for implementing a predictive maintenance system and where it leads to. We found that predictive maintenance initiatives are triggered by severe impacts of failures on revenue and profit. Furthermore, successful predictive maintenance initiatives require that pre-c

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5

Zhao, Yu, Kakoli Bandyopadhyay, and Cynthia Barnes. "Predictive Maintenance Information Systems." International Journal of Enterprise Information Systems 16, no. 2 (2020): 54–72. http://dx.doi.org/10.4018/ijeis.2020040104.

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Enterprise resource planning (ERP) systems allow businesses to achieve high performance through distinctive capabilities and are one of the fastest growing areas within information systems. Many universities have adopted ERP in their management information systems (MIS) curriculum to increase the marketability of their students. Drawing on the IS success model and several constructive learning theories, this study develops a model that is predictive of students' continued ERP software use intention, satisfaction, and perceived learning outcomes. SAP is the ERP system used in this study. Busine

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6

Almouzni, Geneviève, and Howard Cedar. "Maintenance of Epigenetic Information." Cold Spring Harbor Perspectives in Biology 8, no. 5 (2016): a019372. http://dx.doi.org/10.1101/cshperspect.a019372.

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7

Crowder, R. M., I. Heath, D. Gaskell, W. Hall, and R. Bernard. "A hypermedia maintenance information system." Computing & Control Engineering Journal 7, no. 3 (1996): 121–28. http://dx.doi.org/10.1049/cce:19960305.

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8

Hipkin, I. "Evaluating maintenance management information systems." European Journal of Information Systems 5, no. 4 (1996): 261–72. http://dx.doi.org/10.1057/ejis.1996.31.

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9

Uusipaavalniemi, Sari, and Jari Juga. "Information integration in maintenance services." International Journal of Productivity and Performance Management 58, no. 1 (2008): 92–110. http://dx.doi.org/10.1108/17410400910921100.

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10

Owen, Robin A. C. "Information transfer for engineering maintenance." Structural Survey 5, no. 3 (1987): 237–43. http://dx.doi.org/10.1108/eb006258.

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11

Eytan, A., and A. Nichita. "Maintenance Service Platform (MSP) for maintenance information collection and sharing." IFAC-PapersOnLine 53, no. 3 (2020): 330–35. http://dx.doi.org/10.1016/j.ifacol.2020.11.053.

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12

Santizo, Nedria A., Charlene S. Rezabek, and Katherine C. Wong. "Database Maintenance." Resource Sharing & Information Networks 7, no. 1 (1992): 99–104. http://dx.doi.org/10.1300/j121v07n01_09.

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13

Grams, Ralph R. "The Health Maintenance Facility." Journal of Medical Systems 14, no. 1-2 (1990): 59–69. http://dx.doi.org/10.1007/bf00995881.

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14

Boudreau, Donald A., W. Douglas Scheer, and Paul G. Catrou. "Laboratory equipment maintenance contracts." Journal of Medical Systems 9, no. 5-6 (1985): 305–13. http://dx.doi.org/10.1007/bf00992569.

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15

Murakuni, Makoto. "Managing Information for Winter Road Maintenance." Journal of Snow Engineering of Japan 19, no. 1 (2003): 39. http://dx.doi.org/10.4106/jsse.19.39.

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16

Ai Yuangao, and Li Zhaohui. "Maintenance Information Visualization for Hydropower Equipment." Journal of Convergence Information Technology 7, no. 21 (2012): 442–49. http://dx.doi.org/10.4156/jcit.vol7.issue21.54.

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17

Maltsev, G. N., and D. A. Lesnyak. "Security Maintenance Strategies in Information Systems." Informatsionno-upravliaiushchie sistemy (Information and Control Systems) 3, no. 88 (2017): 67–74. http://dx.doi.org/10.15217/issn1684-8853.2017.3.67.

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18

Kans, Mirka. "The advancement of maintenance information technology." Journal of Quality in Maintenance Engineering 15, no. 1 (2009): 5–16. http://dx.doi.org/10.1108/13552510910943859.

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19

Pintelon, Liliane, Niek Du Preez, and Frank Van Puyvelde. "Information technology: opportunities for maintenance management." Journal of Quality in Maintenance Engineering 5, no. 1 (1999): 9–24. http://dx.doi.org/10.1108/13552519910257032.

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20

Candell, Olov, Ramin Karim, and Peter Söderholm. "eMaintenance—Information logistics for maintenance support." Robotics and Computer-Integrated Manufacturing 25, no. 6 (2009): 937–44. http://dx.doi.org/10.1016/j.rcim.2009.04.005.

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21

Martimort, David, and Salvatore Piccolo. "Resale price maintenance under asymmetric information." International Journal of Industrial Organization 25, no. 2 (2007): 315–39. http://dx.doi.org/10.1016/j.ijindorg.2006.04.015.

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22

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 (2018): 123–31. http://dx.doi.org/10.2478/pomr-2018-0063.

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Анотація:

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 opportunist

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23

Medvedieva, Anzhelika. "Libraries Information Resources in Development and Maintenance of Information Communications." Naukovì pracì Nacìonalʹnoï bìblìoteki Ukraïni ìmenì V Ì Vernadsʹkogo, no. 61 (June 23, 2021): 236–45. http://dx.doi.org/10.15407/np.61.236.

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24

FURUTA, Shinichiro. "Special issue : Information network.Global environment maintenance using an information system." Journal of Environmental Conservation Engineering 22, no. 7 (1993): 395–98. http://dx.doi.org/10.5956/jriet.22.395.

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25

Xie, Feng, and Jiang Sheng Sun. "Research on Equipment Maintenance Support Information Modeling." Applied Mechanics and Materials 644-650 (September 2014): 2382–85. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2382.

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Анотація:

For meeting the needs of equipment maintenance support, all kinds of maintenance support data are widely used and studied. By analyzing these data, information models are put forward. XML is used to describe the models. The information models built by XML have good maintainability and portability. The unified information models will play an important role in data exchange in equipment maintenance support areas.

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26

Watchson, Deka, and Yusuf Latief. "Development of Information System for Building Maintenance of Rented Housing Based on Work Breakdown Structure with Building Information Modeling." Journal of Computational and Theoretical Nanoscience 17, no. 2 (2020): 1014–25. http://dx.doi.org/10.1166/jctn.2020.8760.

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Анотація:

Numbers of rented-housing has been rapidly increased as an impact of program and policy by Indonesian government. Rented-housing are a solution for housing in urban slums and low-income communities that are subsidized by the government. It provides challenges in the post-construction phase especially building maintenance activities. Operation and Maintenance phase takes the longest and the most expensive period in building lifecycle. About 75–80% of Total Life Cycle Cost of a building is spent during operation and maintenance phase. The problems are poor quality of rented-housing, damaged buil

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27

Ikwunze, Kenneth Chibueze, and Chimaobi Kingsley Ihunwo. "Developing Maintenance Optimization Model to Manage Oil and Gas Equipment: A Case Study." Engineering Research Journal 4, no. 9 (2024): 21–30. https://doi.org/10.5281/zenodo.13892398.

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Анотація:

<em>Maintenance optimization models are mathematical models whose aim is to find the optimal balance between the costs and benefits of maintenance, while taking all kinds of constraints into account. Oil and gas equipment will be managed efficiently if models for predicting maintenance intervals existed. This research presents a solution to this problem; where, with information such as cost and life span of oil and gas equipment, the maintenance interval can be predicted. </em><em>The aim of the research was to develop maintenance model that will be used to effectively manage oil and gas equip

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28

Glushchenko, Aleksandra, Yuriy Bukhantsev, and Anna Khudyakova. "Information and Analytic Maintenance of Nanoindustry Development." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 3. Ekonomika. Ekologija., no. 1 (March 27, 2015): 69–78. http://dx.doi.org/10.15688/jvolsu3.2015.1.7.

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29

Klepikov, V. I., D. S. Podkhvatilin, Yu N. Dudorov, G. V. Sharapov, and N. A. Zakharov. "Information-measuring diagnostics complex for technical maintenance." Automation and Remote Control 72, no. 5 (2011): 1089–94. http://dx.doi.org/10.1134/s0005117911050171.

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30

Zivaljevic, Milenko, and Dragana Becejski-Vujaklija. "Integrated information system for combat aircraft maintenance." Vojnotehnicki glasnik 48, no. 4-5 (2000): 409–16. http://dx.doi.org/10.5937/vojtehg0005409z.

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31

Abudayyeh, Osama, and Hussien T. Al-Battaineh. "As-Built Information Model for Bridge Maintenance." Journal of Computing in Civil Engineering 17, no. 2 (2003): 105–12. http://dx.doi.org/10.1061/(asce)0887-3801(2003)17:2(105).

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32

Terskikh, V. V., A. V. Vasiliev, and E. A. Vorotelyak. "Maintenance of genetic information in stem cells." Russian Journal of Genetics 44, no. 3 (2008): 257–59. http://dx.doi.org/10.1134/s1022795408030022.

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33

Liu, Chunlu, and Yoshito Itoh. "Information technology applications for bridge maintenance management." Logistics Information Management 14, no. 5/6 (2001): 393–400. http://dx.doi.org/10.1108/eum0000000006251.

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34

Boriev, Z., S. Sokolov, A. Nyrkov, and A. Nekrasova. "Mathematical and information maintenance of biometric systems." IOP Conference Series: Materials Science and Engineering 124 (April 2016): 012046. http://dx.doi.org/10.1088/1757-899x/124/1/012046.

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35

Bazlamit, Subhi M., Hesham S. Ahmad, and Turki I. Al-Suleiman (Obaidat). "Pavement Maintenance Applications Using Geographic Information Systems." Procedia Engineering 182 (2017): 83–90. http://dx.doi.org/10.1016/j.proeng.2017.03.123.

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36

Deloux, Estelle, Bruno Castanier, and Christophe Bérenguer. "Environmental information adaptive condition-based maintenance policies." Structure and Infrastructure Engineering 8, no. 4 (2012): 373–82. http://dx.doi.org/10.1080/15732479.2011.563095.

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37

Wibawa, J. C., E. Prasetyo, and R. Fauzan. "Maintenance Helpdesk Information System in Retail Companies." IOP Conference Series: Materials Science and Engineering 662 (November 20, 2019): 022099. http://dx.doi.org/10.1088/1757-899x/662/2/022099.

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38

Eom, Creed S. J., Seok-Heon Yun, and Sangchul Kim. "Implementing Plant Maintenance Innovation Through Information Technology." Advanced Science Letters 22, no. 11 (2016): 3264–68. http://dx.doi.org/10.1166/asl.2016.7933.

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39

Swanson, Laura. "An information-processing model of maintenance management." International Journal of Production Economics 83, no. 1 (2003): 45–64. http://dx.doi.org/10.1016/s0925-5273(02)00266-9.

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40

Coleman, Alexandra, Lyndsey Webb, and Peter Nixon. "Technique tips — patient information for implant maintenance." Dental Update 44, no. 7 (2017): 680–81. http://dx.doi.org/10.12968/denu.2017.44.7.680.

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41

Fan, Tuan-Fang, and Churn-Jung Liau. "Reason-maintenance Belief Logic with Uncertain Information." ACM Transactions on Computational Logic 21, no. 1 (2020): 1–32. http://dx.doi.org/10.1145/3355608.

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42

Zaidi, Sayyed K., Daniel W. Young, Martin Montecino, et al. "Bookmarking the Genome: Maintenance of Epigenetic Information." Journal of Biological Chemistry 286, no. 21 (2011): 18355–61. http://dx.doi.org/10.1074/jbc.r110.197061.

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43

Georgantzas, Nicholas C., and Christian N. Madu. "Maintenance float policy estimation with imperfect information." Computers & Industrial Engineering 16, no. 2 (1989): 257–68. http://dx.doi.org/10.1016/0360-8352(89)90144-7.

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44

Seaman, Carolyn B. "Managing Corporate Information Systems Evolution and Maintenance." Journal of Software Maintenance and Evolution: Research and Practice 18, no. 4 (2006): 307–9. http://dx.doi.org/10.1002/smr.331.

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45

Krebelj, Peter. "TRENDS IN MAINTENANCE." Mašinstvo 14, no. 3 (2017): 151–61. https://doi.org/10.62456/jmem.2017.03.151.

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Анотація:

&lt;p style=&quot;text-align: justify;&quot;&gt;Maintenance has been changing over the period. Today we are moving to the fourth generation of Industry, where we are talking about great changes in field of production, work and understanding thereof. With device integration we will take care of the integration and exchange of information between machines and devices. Everything we start with word smart. With the development of the industry it has developed a mentality works. Connecting devices into one big network is leading us to the new sphere and&lt;br /&gt;new opport

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46

Yang, Zimin, Qing Chang, Dragan Djurdjanovic, Jun Ni, and Jay Lee. "Maintenance Priority Assignment Utilizing On-line Production Information." Journal of Manufacturing Science and Engineering 129, no. 2 (2006): 435–46. http://dx.doi.org/10.1115/1.2336257.

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Анотація:

Maintenance management has a direct influence on production performance. Existing works have not systematically taken the on-line production information into consideration in determining maintenance work-order priority, which is often assigned either through an ad hoc approach or using largely heuristic and static methods. In this paper, we first present a metric that can be used to quantitatively evaluate the effects of different maintenance priorities. Based on this index, one can employ a search algorithm to obtain maintenance work-order priorities that will lead to improved productivity wi

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47

Ait-Lamallam, Sara, Imane Sebari, Reda Yaagoubi, and Omar Doukari. "IFCInfra4OM: An Ontology to Integrate Operation and Maintenance Information in Highway Information Modelling." ISPRS International Journal of Geo-Information 10, no. 5 (2021): 305. http://dx.doi.org/10.3390/ijgi10050305.

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Анотація:

Building information modelling (BIM) is increasingly appropriate for infrastructure projects, and in particular for transport infrastructure. It is a digital solution that integrates the practices of the construction industry in facility management during the whole life cycle. This integration is possible through a single tool, which is the 3D digital model. Nevertheless, BIM standards, such as industry foundation classes, are still in the pipeline for infrastructure management. These standards do not fully meet the requirements of operation and maintenance of transport infrastructure. This pa

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48

Taute, Barbara J. "Maintenance Quality Assurance." Journal of Information Systems Management 2, no. 3 (1985): 48–50. http://dx.doi.org/10.1080/07399018508967771.

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49

Karim, Ramin, and Peter Söderholm. "Application of information and communication technology for maintenance support information services." Journal of Quality in Maintenance Engineering 15, no. 1 (2009): 78–91. http://dx.doi.org/10.1108/13552510910943895.

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50

Majdandzic, Niko, and Tomislav Saric. "Integration of the Maintenance Information System with the Production Information System." IFAC Proceedings Volumes 31, no. 20 (1998): 753–56. http://dx.doi.org/10.1016/s1474-6670(17)41887-8.

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