Desenvolvimento de heurística para programação de planos de manutenção preventiva e preditiva na agroindústria
Abstract
A manutenção é uma combinação de ações técnicas e administrativas associadas para manter um ativo ou restaurá-lo em um estado no qual ele possa executar sua função exigida [1]. Até 1940 a manutenção era considerada um gasto desnecessário e era realizada apenas para correção de ativos, quando este falhava. Mas, ao longo dos anos precebeu-se que as manutenções preventivas e preditivas são partes impactantes no faturamento [1]. [...]
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References
Mohamed Ben-Daya, Uday Kumar e Dn Prabhakar Murthy. Introduction to maintenance engineering: modelling, optimization and management. 1a. ed. John Wiley & Sons, 2016.
H. Mirsaeedi, Mohammadi-Hosseiininejad S. M. Fereidunian A., P. Dehghanian e H. Lesani. “Long-Term Maintenance Scheduling and Budgeting in Electricity Distribution Systems Equipped with Automatic Switches”. Em: IEEE Transactions on Industrial Informatics 14 (2018), pp. 1909–1919. doi: 10.1109/TII.2017.2772090.
Jianyu Long, Ying Hong, Yun Bai, Shaohui Zhang e Zhenzhong Sun. “Practical Production Scheduling for Hot Metal Pretreatment-Steelmaking-Continuous Casting Process Involving Preventive Maintenance Consideration”. Em: IEEE Access 6 (2018), pp. 57017–57029. doi: 10.1109/ACCESS.2018.2873422.
Qiang Wan, Yongzhong Wu, Wenhui Zhou e Xiaohong Chen. “Economic design of an integrated adaptive synthetic chart and maintenance management system”. Em: Communications in Statistics - Theory and Methods 47.11 (2018), pp. 2625–2642. doi: 10.1080/03610926.2016.1271425.
Qiang Liu, Zhifeng Lian, Yu Guo, Shulin Tang e Feixue Yang. Em: Open Physics 18.1 (2020), pp. 126–138. doi: doi:10.1515/phys-2020-0012.
P. Bangalore e M. Patriksson. “Analysis of SCADA data for early fault detection, with application to the maintenance management of wind turbines”. Em: Renewable Energy 115 (2018), pp. 521–532. issn: 0960-1481. doi: https://doi.org/10.1016/j.renene.2017.08.073.
Aitor Goti, Aitor Oyarbide-Zubillaga, Ana Sanchez, Tugce Akyazi e Elisabete Alberdi. “Multi Equipment Condition Based Maintenance Optimization Using Multi-Objective Evolutionary Algorithms”. Em: Applied Sciences 9.22 (2019). issn: 2076-3417.
Chuntian Zhang, Yuan Gao, Lixing Yang, Ziyou Gao e Jianguo Qi. “Joint optimization of train scheduling and maintenance planning in a railway network: A heuristic algorithm using Lagrangian relaxation”. Em: Transportation Research Part B: Methodological 134 (2020), pp. 64–92. issn: 0191-2615. doi: https://doi.org/10.1016/j.trb.2020.02.008.
