Relevant bibliographies by topics / Multi-criteria Dynamic Scheduling

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Multi-criteria Dynamic Scheduling'

Author: Grafiati
Published: 31 May 2025
Last updated: 31 July 2025

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Journal articles on the topic "Multi-criteria Dynamic Scheduling"

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Shnits, Boris. "Multi-criteria optimisation-based dynamic scheduling for controlling FMS." International Journal of Production Research 50, no. 21 (2012): 6111–21. http://dx.doi.org/10.1080/00207543.2012.657805.

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Marmier, F., C. Varnier, and N. Zerhouni. "Proactive, dynamic and multi-criteria scheduling of maintenance activities." International Journal of Production Research 47, no. 8 (2009): 2185–201. http://dx.doi.org/10.1080/00207540802311106.

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Moreno-Velásquez, Luis Fernando, F. Javier Díaz-Serna, and Daniel Morillo-Torre. "Dynamic multicriteria optimization for the nurse scheduling problem." Decision Science Letters 14, no. 2 (2025): 457–72. https://doi.org/10.5267/j.dsl.2024.12.009.

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This document addresses the Nurse Scheduling Problem (NSP) and presents a dynamic multi-criteria optimization model for its solution considering a predefined time horizon. The purpose is to maximize the level of "work well-being" of nurses formulated as the minimization of "aversion" which translates into costs or penalties for certain undesirable work shifts. For this, a series of criteria are defined to estimate the preference structure of nurses according to the hospital center specifications by assigning costs for undesirable shift assignments. The proposed methodology involves developing
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İnal, Ali Fırat, Çağrı Sel, Adnan Aktepe, Ahmet Kürşad Türker, and Süleyman Ersöz. "A Multi-Agent Reinforcement Learning Approach to the Dynamic Job Shop Scheduling Problem." Sustainability 15, no. 10 (2023): 8262. http://dx.doi.org/10.3390/su15108262.

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In a production environment, scheduling decides job and machine allocations and the operation sequence. In a job shop production system, the wide variety of jobs, complex routes, and real-life events becomes challenging for scheduling activities. New, unexpected events disrupt the production schedule and require dynamic scheduling updates to the production schedule on an event-based basis. To solve the dynamic scheduling problem, we propose a multi-agent system with reinforcement learning aimed at the minimization of tardiness and flow time to improve the dynamic scheduling techniques. The per
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Shojaeian, Ehsan, Mehran Mohsenzadeh, and Mohammad Mehdi Sahrapour. "A Centralized Multi-Criteria Method for Scheduling Tasks in a Cloud Computing Environment." AIUB Journal of Science and Engineering (AJSE) 22, no. 2 (2023): 153–63. http://dx.doi.org/10.53799/ajse.v22i2.506.

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Task scheduling determines the order of mapping tasks to virtual machines to meet objectives. In this paper, a batch mode heuristic method that is centralized, dynamic, and multi-objective has been presented for scheduling independent tasks with a deadline and belonging to several user levels, using the cloud elasticity in the public cloud environment. In this method, it has been intended to improve the objectives of makespan, deadline violation, total execution cost, and load balancing by considering the tasks’ prioritization based on the criteria of user level, deadline, task length, and sel
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Yigit, Fatih, Marcio Pereira Basilio, and Valdecy Pereira. "A Hybrid Approach for the Multi-Criteria-Based Optimization of Sequence-Dependent Setup-Based Flow Shop Scheduling." Mathematics 12, no. 13 (2024): 2007. http://dx.doi.org/10.3390/math12132007.

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A key challenge in production management and operational research is the flow shop scheduling problem, characterized by its complexity in manufacturing processes. Traditional models often assume deterministic conditions, overlooking real-world uncertainties like fluctuating demand, variable processing times, and equipment failures, significantly impacting productivity and efficiency. The increasing demand for more adaptive and robust scheduling frameworks that can handle these uncertainties effectively drives the need for research in this area. Existing methods do not adequately capture modern
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Nwadigo, Okechukwu Bruno-Kizito, Nicola Naismith, Ali GhaffarianHoseini, Amirhosein GhaffarianHoseini, and John Tookey. "Construction project planning and scheduling as a dynamic system: a content analysis of the current status, technologies and forward action." Smart and Sustainable Built Environment 11, no. 4 (2021): 972–95. http://dx.doi.org/10.1108/sasbe-02-2021-0022.

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PurposeDynamic planning and scheduling forms a widely adopted smart strategy for solving real-world problems in diverse business systems. This paper uses deductive content analysis to explore secondary data from previous studies in dynamic planning and scheduling to draw conclusions on its current status, forward action and research needs in construction management.Design/methodology/approachThe authors searched academic databases using planning and scheduling keywords without a periodic setting. This research collected secondary data from the database to draw an objective comparison of catego
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Yassa, Sonia, Rachid Chelouah, Hubert Kadima, and Bertrand Granado. "Multi-Objective Approach for Energy-Aware Workflow Scheduling in Cloud Computing Environments." Scientific World Journal 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/350934.

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We address the problem of scheduling workflow applications on heterogeneous computing systems like cloud computing infrastructures. In general, the cloud workflow scheduling is a complex optimization problem which requires considering different criteria so as to meet a large number of QoS (Quality of Service) requirements. Traditional research in workflow scheduling mainly focuses on the optimization constrained by time or cost without paying attention to energy consumption. The main contribution of this study is to propose a new approach for multi-objective workflow scheduling in clouds, and
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Hafsi, Haithem, Hamza Gharsellaoui, and Sadok Bouamama. "Genetic-based Multi-criteria Workflow Scheduling with Dynamic Resource Provisioning in Hybrid Large Scale Distributed Systems." Procedia Computer Science 159 (2019): 1063–74. http://dx.doi.org/10.1016/j.procs.2019.09.275.

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Zeng, Yuhang, Ping Lou, Jianmin Hu, Chuannian Fan, Quan Liu, and Jiwei Hu. "Dual-Resource Scheduling with Improved Forensic-Based Investigation Algorithm in Smart Manufacturing." Mathematics 13, no. 9 (2025): 1432. https://doi.org/10.3390/math13091432.

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With increasing labor costs and rapidly dynamic changes in the market demand, as well as realizing the refined management of production, more and more attention is being given to considering workers, not just machines, in the process of flexible job shop scheduling. Hence, a new dual-resource flexible job shop scheduling problem (DRFJSP) is put forward in this paper, considering workers with flexible working time arrangements and machines with versatile functions in scheduling production, as well as a multi-objective mathematical model for formalizing the DRFJSP and tackling the complexity of
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Dissertations / Theses on the topic "Multi-criteria Dynamic Scheduling"

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Tayeb, Hayfa. "Optimisation des applications HPC avec la vectorisation et l’ordonnancement multicritère des tâches sur les systèmes hétérogènes." Electronic Thesis or Diss., Bordeaux, 2025. http://www.theses.fr/2025BORD0042.

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Les applications de calcul à haute performance (HPC), telles que les simulations numériques, nécessitent d’énormes capacités de calcul. Ces applications requièrent des logiciels qui exploitent efficacement les capacités du matériel. Cette thèse se concentre sur l’optimisation des applications HPC en intervenant à différents niveaux de la pile logicielle. L’optimisation vise deux principales métriques : la performance et l’efficacité énergétique. Les processeurs modernes offrent du parallélisme au niveau des données grâce aux instructions vectorielles traitant plusieurs données simultanément. C
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Book chapters on the topic "Multi-criteria Dynamic Scheduling"

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Varela, M. L. R., and R. A. Ribeiro. "Distributed Manufacturing Scheduling Based on a Dynamic Multi-criteria Decision Model." In Studies in Fuzziness and Soft Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06323-2_6.

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Kołodziej, Joanna. "A Multi-Level Genetic Scheduling in Dynamic Grid Reinforced by the Population Hierarchy: Basic Model." In Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28971-2_3.

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Benkner Siegfried, Pllana Sabri, Larsson Träff Jesper, et al. "The PEPPHER Approach to Programmability and Performance Portability for Heterogeneous many-core Architectures." In Advances in Parallel Computing. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-041-3-361.

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The European FP7 project PEPPHER is addressing programmability and performance portability for current and emerging heterogeneous many-core architectures. As its main idea, the project proposes a multi-level parallel execution model comprised of potentially parallelized components existing in variants suitable for different types of cores, memory configurations, input characteristics, optimization criteria, and couples this with dynamic and static resource and architecture aware scheduling mechanisms. Crucial to PEPPHER is that components can be made performance aware, allowing for more effici
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Conference papers on the topic "Multi-criteria Dynamic Scheduling"

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Zhang, Huai, Zhibin Jiang, and Hongtao Hu. "Multi-criteria Dynamic Scheduling Methodology for Controlling a Semiconductor Wafer Fabrication System." In 2007 IEEE International Conference on Automation Science and Engineering. IEEE, 2007. http://dx.doi.org/10.1109/coase.2007.4341681.

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Kim, Beom-Su, and Ki-Il Kim. "A Priority-based Dynamic Link Scheduling Algorithm Using Multi-criteria Decision Making in Wireless Body Area Networks." In 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS). IEEE, 2020. http://dx.doi.org/10.1109/mascots50786.2020.9285936.

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Abd, K., K. Abhary, and R. Marian. "Application of a fuzzy multi-criteria decision-making approach for dynamic scheduling in robotic flexible assembly cells." In 2014 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2014. http://dx.doi.org/10.1109/ieem.2014.7058664.

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