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http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/10371| Назва: | Collection Data and Visualization Preventive Maintenance Schedule |
| Автори: | Семеріков, Сергій Олексійович Kupin, Andrey Marynych, Ivan Makohonov, Anton |
| Ключові слова: | preventive maintenance maintenance scheduling CMMS cloud platform |
| Дата публікації: | 25-тра-2024 |
| Бібліографічний опис: | Semerikov S. Collection Data and Visualization Preventive Maintenance Schedule / Serhiy Semerikov, Andrey Kupin, Ivan Marynych, Anton Makohonov // Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Systems. Volume III: Intelligent Systems Workshop, Lviv, Ukraine, April 12-13, 2024 / Edited by: Victoria Vysotska, Yevhen Burov // CEUR Workshop Proceedings. – 2024. – Vol. 3688. – P. 157-168. – Access mode : https://ceur-ws.org/Vol-3688/paper12.pdf |
| Короткий огляд (реферат): | The primary objective of the maintenance strategy within industrial firms is to optimize the operational uptime of production assets while minimizing downtime. Effective maintenance management is one of the key elements in achieving this goal. A Computerized Maintenance Management System (CMMS) serves as a pivotal tool in modern industrial maintenance. Based on literature overview and my own experience in mining such a system was developed and presented. This software facilitates streamlined management of maintenance operations, encompassing work orders, asset tracking, and resource allocation. And the most important thing - preventive maintenance scheduling is visualized improving possibilities of production planning. |
| Опис: | [1] Syrotyuk V.G., Kulichenko Yu.l, Yaniuk T.S. etc. Mining works: a textbook for students of professional (vocational and technical) education. Chernivtsi: Bukrek, 2021. 136 p.: [2] Scooptram ST2D | Underground loader | Epiroc. URL: https://www.cpiroc.com/en-dk/products/loaders-and-trucks/diesel-loaders/scooptram-st2d [3] Boomer T1 | Epiroc. URL: https://www.epiroc.com/en-sk/products/drill-rigs/face-drill-rigs/boomer-t1 [4] Atlas Copco Scooptram ST2G Manual de servicio. Atlas Copco Rock Drills AB SE-70191 Orebro, Sweden, 2009. [5] Epiroc Ukraine | Epiroc. URL: https://www.epiroc.com/ru-ua [6] Malgorzata Jasiulewicz-Kaczmarek , Stanistaw Legutko, Piotr Kluk, MAINTENANCE 4.0 TECHNOLOGIES — NEW OPPORTUNITIES FOR SUSTAINABILITY DRIVEN MAINTENANCE, Vol. 11: Management and Production Engineering Review, 2020, pp. 74-87, doi:10.24425/mper.2020.133730 [7] Tsabel Lopesa, Patricia Senraa, Sandrina Vilarinhoa, Vera Saa, Catarina Teixeiraa, Jodo Lopes, Anabela Alvesa, José A. Oliveiraa, Manuel Figueiredoa , Requirements specification of a computerized maintenance management system - a case study, in: Changeable, Agile, Reconfigurable & Virtual ~ Production Conference, 2016, pp. 268-273. doi:10.1016/j.procir.2016.07.047 [8] Rakesh Sharma, N. Govindaraju, Maintenance Planning Activity using Intelligent Support System, Vol.5: International Journal of Mechanical Engineering, 2020, pp. 83-88 [9] Dedy Aransyah, Francesco Rosa, Giorgio Colombo, Smart Maintenance: A Wearable Augmented Reality Application Integrated with CMMS to Minimize Unscheduled Downtime, Vol:17(4): Computer-Aided Design & Applications, 2020, pp. 740-751, doi:10.14733/cadaps.2020.740-751 [10] Paul-Roux H. de Villiers, Johannes L. Jooste, Dominik Lucke, Smart maintenance system for inner city public bus services, in: 56th CIRP Conference on Manufacturing Systems, CIRP CMS 23, South Africa, 2023, pp. 285-290, doi:10.1016/j.procir.2023.08.051 [11] Patricia Senra, Isabel Lopes, José A Oliveira, Supporting maintenance scheduling: a case study, in: 27th International Conference on Flexible Automation and Intelligent Manufacturing, Modena, Italy, 2017, pp. 2123-2130. doi:10.1016/j.promfg.2017.07.342 [12] Chaoming Hu, Rui Zheng, Shaojun Lu, Xinbao Liu, Hao Cheng, Integrated optimization of production scheduling and maintenance planning with dynamic job arrivals and mold constraints, Vol 186: Computers & Industrial Engineering, 2023. doi:10.1016/j.cie.2023.109708 [13] Amany M. Akl, Humyun Fuad Rahman, Ripon K. Chakraborlty, Sondoss El Sawah, An assels mainlenance-workforce planning problem under uncerlainly: A chance constraints assisted simulation-optimization approach, Vol 130: Simulation Modelling Practice and Theory, 2024, doi:10.1016/j.simpat.2023.102839 [14] Grace Lorraine D. Intal, Thea Marielle C. Gomez, Alison Vince T. Cadorniga, Jeongwong Kang, Design and development of a decision support system with visual analytics to improve MRT maintenance operations, in: Proceedings of the International Conference on Industrial Engineering and Operations Management Bangkok, Thailand, 2019, pp. 3341-3351 [15] Paul J. van Kessel, Floris C. Freeman, Bruno F. Santos, Airline maintenance task rescheduling in a disruptive environment, Vol. 308: European Journal of Operational Research, pp. 605-621, doi:10.1016/j.ejor.2022.11.017 [16] Afshar-Nadjafi B., Multi-skilling in scheduling problems: A review on models, methods and applications, Vol. 151: Computers & Industrial Engineering, 2020, Article 107004, doi:10.1016/j.cie.2020.107004 [17] Hongyan Dui, Chi Zhang, Tianzi Tian, Shaomin Wu, Different costs-informed component preventive maintenance with system lifetime changes, Vol. 228: Reliability Engineering & System Safety, 2022, Article 108755, doi:10.1016/j.ress.2022.108755 [18] L. Martinsa, F. J. G. Silvaa, C. Pimentelb, R. B. Casaisa, R. D. S. G. Campilhoa, Improving Preventive Maintenance Management in an Energy Solutions Company, 30th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2021), Athens, Greece, 2021, pp. 1551-1558, doi:10.1016/j.promfg.2020.10.216 [19] Pinciroli L., Baraldi P., Zio E., Maintenance optimization in industry 4.0, Reliability Engineering & System Safety, 2023, Article 109204, doi:10.1016/j.ress.2023.109204 [20] Tim van der Weide, Qichen Deng, Bruno F. Santos, Robust long-term aircraft heavy maintenance check scheduling optimization under uncertainty, Computers & Operations Research, Vol. 141: 2022, Article 105667, doi:10.1016/j.cor.2021.105667 |
| URI (Уніфікований ідентифікатор ресурсу): | https://ceur-ws.org/Vol-3688/paper12.pdf http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/10371 |
| ISSN: | 1613-0073 |
| Розташовується у зібраннях: | Кафедра інформатики та прикладної математики |
Файли цього матеріалу:
| Файл | Опис | Розмір | Формат | |
|---|---|---|---|---|
| paper12.pdf | 2.22 MB | Adobe PDF | Переглянути/Відкрити |
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