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Abdelrahman M. Abdallah, Mehmet E. Ozbek and Rebecca A. Atadero
Over the last two decades, many researchers have focused on providing new ideas and frameworks to help improve conventional bridge inspection planning approaches, however, little guidance is provided for implementing these new ideas in practice, resultin...
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Botang Li, Qiong Chen, Yui-yip Lau and Maxim A. Dulebenets
This study proposes a novel fuzzy programming optimization model for tugboat scheduling, directly considering multiple berthing bases, time windows, and operational uncertainties. The uncertainties in the required number of tugboats, the earliest start t...
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Shuangquan Liu, Xuhan Luo, Hao Zheng, Congtong Zhang, Youxiang Wang, Kai Chen and Jinwen Wang
Operators often have a dilemma in deciding what water levels the over-year hydropower reservoirs should drawdown at the end of dry seasons, either too high to achieve a large firm hydropower output during the dry seasons in the current year and minor spi...
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Xiaoxu Dong, Xin Wang, Ling Peng, Miao Wang and Guoqing Wang
Avionics Cloud is a new multi-platform avionics system architecture that provides dynamic access, resource pooling, intelligent scheduling, on-demand service and other cloud computing features. Using Avionics Cloud to rationalize the order of multi-fligh...
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Xiaopei Tang, Haijun Liu, Li Yang, Lun Li and Jie Chang
Understanding the impact of sprinkler irrigation on field energy balance, microclimate, and crop evapotranspiration is of great importance for optimizing irrigation scheduling and enhancing crop growth. In this study, the microclimate variables, energy, ...
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Christos Valouxis, Christos Gogos, Angelos Dimitsas, Petros Potikas and Anastasios Vittas
Machine scheduling is a hard combinatorial problem having many manifestations in real life. Due to the schedule followed, the possibility of installations of machines operating sub-optimally is high. In this work, we examine the problem of a single machi...
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Xiaohong Jiang and Jianxiao Ma
Limited-stop service is useful to increase operation efficiency where the demand is unbalanced at different stops and unidirectional. A mixed scheduling model for limited-stop buses and normal buses is proposed considering the fleet size constraint. This...
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Pedro Andrade, Catarina Silva, Bernardete Ribeiro and Bruno F. Santos
This paper presents a Reinforcement Learning (RL) approach to optimize the long-term scheduling of maintenance for an aircraft fleet. The problem considers fleet status, maintenance capacity, and other maintenance constraints to schedule hangar checks fo...
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Abdelrahman M. Abdallah, Rebecca A. Atadero and Mehmet E. Ozbek
Bridge inspection standards in the United States require routine visual inspections to be conducted on most bridges at a maximum interval of two years regardless of the bridge condition. Limitations of this uniform calendar-based approach have been repor...
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Shashank Goyal and Diwakar Gupta
Many sharing-economy platforms operate as follows. Owners list the availability of resources, prices, and contract-length limits. Customers propose contract start times and lengths. The owners decide immediately whether to accept or decline each proposal...
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