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One of the most difficult challenges for modern manufacturing is reducing carbon emissions. This paper focuses on the green scheduling problem in a flexible job shop system, taking into account energy consumption and worker learning effects.
Zhi Li, Yingjian Chen
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Current research addresses the Permutation Flow Shop scheduling problem, characterized as Production Scheduling in Batch Process (PSBP) to minimize total time to complete the schedule (Makespan).
Rony Peterson da Rocha +3 more
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There exists a wide range of constraint programming (CP) problems defined on Boolean functions depending on binary variables. One of the approaches to solving CP problems is using specific appropriate solvers, e.g., SAT solvers.
Aleksey I. Pakhomchik +3 more
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In urban rail transit systems, train scheduling plays an important role in improving the transport capacity to alleviate the urban traffic pressure of huge passenger demand and reducing the operation costs for operators.
Miao Zhang +4 more
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Development mathematics model production planning of urea fertilizer to minimize production cost with mixed integer linear programming (MILP) [PDF]
Food is a necessity that must be met at all times. As it is known that fertilizer is one of the main factors in the success of food security in Indonesia. Currently, the government is targeting food self-sufficiency in 2017 that requires harvesting capability at least twice a year in the area of paddy fields in Indonesia.
Inaki Maulida Hakim +2 more
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Multi-objective, multi-period optimization of biomass conversion technologies using evolutionary algorithms and mixed integer linear programming (MILP) [PDF]
Abstract The design and operation of energy systems are key issues for matching energy supply and demand. A systematic procedure, including process design and energy integration techniques for sizing and operation optimization of poly-generation technologies is presented in this paper.
Samira Fazlollahi, François Maréchal
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Nowadays, due to increasing population and water shortage and competition for its consumption, especially in the agriculture, which is the largest consumer of water, proper and suitable utilization and optimal use of water resources is essential. One of the important parameters in agriculture field is water distribution network.
Ramin Mansouri +3 more
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Intent-Driven UAM Scheduling: An Explainable Hybrid AI Framework
This paper presents a hybrid AI framework for rescheduling tasks within UAM vertiports. This scheduling challenge is approached as a resource-constrained project scheduling problem (RCPSP), typically solved via mixed-integer linear programming (MILP ...
Jeongseok Kim, Kangjin Kim
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MPC-Based Surveillance over Graphs by Multiple Agents
The multi-agent surveillance problem over graphs is to find trajectories of multiple agents that travel each node as evenly as possible. This problem has several applications such as city safety management and disaster rescue.
Mifuyu Kido +2 more
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A Scheduling Model for Optimizing Joint UAV-Truck Operations in Last-Mile Logistics Distribution
This paper investigates the joint scheduling problem of unmanned aerial vehicles (UAVs) and trucks for community logistics, where UAVs act as service providers for last-mile delivery and trucks serve as mobile storage platforms for drone deployment.
Xiaocheng Liu +4 more
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