Results 21 to 30 of about 1,529 (263)
A Decision Support System for Dynamic Job-Shop Scheduling Using Real-Time Data with Simulation
The wide usage of information technologies in production has led to the Fourth Industrial Revolution, which has enabled real data collection from production tools that are capable of communicating with each other through the Internet of Things (IoT ...
Ahmet Kursad Turker +5 more
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In this study, we investigate a real-time system where computationally intensive tasks are executed using cloud computing platforms in data centers. These data centers are designed to provide prompt responses to incoming demands.
Farid Ziaei, Mohammad Ranjbar
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Power generation dispatching is a large complex system problem with multi-dimensional and nonlinear characteristics. A mathematical model was established based on the principle of reservoir operation. A large quantity of optimal scheduling processes were
Wei Xie +3 more
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The apparent tardiness cost (ATC) is a dispatching rule that demonstrates excellent performance in minimizing the total weighted tardiness (TWT) in single-machine scheduling. The ATC rule’s performance is dependent on the lookahead parameter of an
Byungwook Min, Chang Ouk Kim
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Automatic Heuristic Generation with Scatter Programming to Solve the Hybrid Flow Shop Problem
The hybrid flow shop (HFS) problem is solved in this study through composite dispatching rules (CDRs) generated automatically. CDR is a simple approach to solve the HFS problem rapidly and easily.
Wen Shi, Xueyan Song, Jizhou Sun
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Inter-basin water transfer projects play an important role in allocating water resources that vary both in temporal and spatial scale while supporting regional development.
Siyu Cai +4 more
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Electric Vehicles (EVs) are becoming one of the main answers to the decarbonization of the transport sector and Renewable Energy Sources (RES) to the decarbonization of the electricity production sector.
Fabio Cazzato +4 more
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Heuristic Dispatching Rules for Dynamic Scheduling of Heavy Engineering Equipments [PDF]
Dynamic scheduling problem has been an attractive area for researches to investigate since a long time. Many techniques have been used to tackle such problems, but all of these techniques require high efforts to formulate the dynamic scheduling problems ...
Luma Adnan Al-Kindi +2 more
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Learning to generalize Dispatching rules on the Job Shop Scheduling
This paper introduces a Reinforcement Learning approach to better generalize heuristic dispatching rules on the Job-shop Scheduling Problem (JSP). Current models on the JSP do not focus on generalization, although, as we show in this work, this is key to learning better heuristics on the problem.
Zangir Iklassov +3 more
openaire +2 more sources
HBD: Towards Efficient Reactive Rule Dispatching in Software-Defined Networks
Most types of Software-Defined Networking (SDN) architectures employ reactive rule dispatching to enhance real-time network control. The rule dispatcher, as one of the key components of the network controller, generates and dispatches the cache rules ...
Chang Chen +5 more
doaj +1 more source

