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

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Published: 31 May 2025

Last updated: 31 July 2025

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1

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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3

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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11

Ozdagoglu, Guzin, Sabri Erdem, and Latif Salum. "A special purpose multi-criteria heuristic function for a single machine scheduling problem with forward dynamic programming." International Journal of Advanced Manufacturing Technology 68, no. 5-8 (2013): 1875–86. http://dx.doi.org/10.1007/s00170-013-4984-z.

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12

Liu, Peng, Tieyan Zhang, Furui Tian, Yun Teng, and Miaodong Yang. "Optimized Grid Partitioning and Scheduling in Multi-Energy Systems Using a Hybrid Decision-Making Approach." Energies 17, no. 13 (2024): 3253. http://dx.doi.org/10.3390/en17133253.

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This paper presents a thorough review of our state-of-the-art technique for enhancing dynamic grid partitioning and scheduling in multi-energy source systems. We use a hybrid approach to T-spherical fuzzy sets, combining the alternative ranking order method accounting for the two-step normalization (AROMAN) method for alternating ranking order to enable two-step normalisation with the method based on removal effects of criteria (MEREC) for eliminating criteria effects. This enables us to obtain the highest level of accuracy from our findings. To ascertain the relative importance of these crite

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Gu, Hangyu, Jinjiang Wang, Junyang Yu, et al. "Towards virtual machine scheduling research based on multi-decision AHP method in the cloud computing platform." PeerJ Computer Science 9 (November 14, 2023): e1675. http://dx.doi.org/10.7717/peerj-cs.1675.

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Virtual machine scheduling and resource allocation mechanism in the process of dynamic virtual machine consolidation is a promising access to alleviate the cloud data centers of prominent energy consumption and service level agreement violations with improvement in quality of service (QoS). In this article, we propose an efficient algorithm (AESVMP) based on the Analytic Hierarchy Process (AHP) for the virtual machine scheduling in accordance with the measure. Firstly, we take into consideration three key criteria including the host of power consumption, available resource and resource allocat

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Корнеенко, В. П. "MULTI-CRITERIAL SCHEDULING OF A SPACECRAFT CONTROL CENTER’S OPERATION ON A DYNAMIC MODEL WITH DEAD-END CONTROLS." Proceedings in Cybernetics 22, no. 3 (2023): 82–98. http://dx.doi.org/10.35266/1999-7604-2023-3-82-98.

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The article is devoted to the solution of a problem of multi-criterial scheduling for execution of calculations of a large number of time-consuming computational tasks being solved simultaneously when implementing the time-sharing mode for their solutions in software and hardware’s multi-processor computing systems by the spacecraft control center. A dynamic recurrent model with dead-end controls is used to imple-ment the schedule of organizing software command information with control sectors. The criteria for selecting an efficient option of a daily schedule for the control sectors’ operatio

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Ogunwolu, Ladi, O. A. Alli, Chidi Onyedikam, and A. A. Sosimi. "Multi-Item Multi-Period Dynamic Capacity-Constrained Lot-Sizing Model with Parallel Machines and Fuzzy Demand." Advanced Materials Research 367 (October 2011): 627–38. http://dx.doi.org/10.4028/www.scientific.net/amr.367.627.

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Multi-item, multi-period production systems are prevalent in traditional production and distribution settings. A dynamic lot size production scheduling model (DLSPM) for multi-Production/inventory item multi-period production system with parallel machines is proposed in this paper. A mathematical framework that extends the DLSPM to multi-Production/inventory item-multi-period production planning constrained by storage space was built. The criteria of DLSPM explore optimal production schedule with the constraints of inventory, backlogs, production and demand to minimize the total inventory cost

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Miao, Zujia, Cuiping Shao, Huiyun Li, and Zhimin Tang. "Review of Task-Scheduling Methods for Heterogeneous Chips." Electronics 14, no. 6 (2025): 1191. https://doi.org/10.3390/electronics14061191.

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Heterogeneous chips, by integrating multiple processing units such as central processing unit(CPU), graphics processing unit (GPU) and field programmable gate array (FPGA), are capable of providing optimized processing power for different types of computational tasks. In modern computing environments, heterogeneous chips have gained increasing attention due to their superior performance. However, the performance of heterogeneous chips falls short of that of traditional chips without an appropriate task-scheduling method. This paper reviews the current research progress on task-scheduling metho

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Thenarasu, M., K. Rameshkumar, S. P. Anbuudayasankar, G. Arjunbarath, and P. Ashok. "DEVELOPMENT AND SELECTION OF HYBRID DISPATCHING RULE FOR DYNAMIC JOB SHOP SCHEDULING USING MULTI-CRITERIA DECISION MAKING ANALYSIS (MCDMA)." International Journal for Quality Research 14, no. 2 (2020): 487–504. http://dx.doi.org/10.24874/ijqr14.02-10.

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18

Kalanov, Georgiy, Nikolay Titov, and Victor Shibeko. "CONTINUOUS SCHEDULING IN CONDITIONS OF MASS WELL CONSTRUCTION. PART 1." Applied Mathematics and Control Sciences, no. 4 (December 30, 2019): 103–23. http://dx.doi.org/10.15593/2499-9873/2019.4.07.

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The article investigates the combinatorial problem of the formation of coordinated work schedules, ensuring the continuous loading of the allocated labor resources for the construction of a group of wells. A parametric mathematical model of continuous scheduling, taking into account a number of restrictions on the organization of the well construction process, is proposed. The model is supplemented with a simple formula for calculating the time characteristics of the well construction depending on the drilling conditions and the drilling crew qualification. The universal nature of the basic mo

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Lebedev, G. N., V. B. Malygin, D. A. Mikhaylin, and Tan Byo. "Formulation of multicriteria problem of routing and scheduling of manned and unmanned aircraft in a dynamic environment and approach to its solution using genetic algorithms." Civil Aviation High TECHNOLOGIES 21, no. 5 (2018): 67–77. http://dx.doi.org/10.26467/2079-0619-2018-21-5-67-77.

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The article deals with the multi-criteria task of routing and scheduling of unmanned and manned aircraft using the method of penalty functions. The authors describe the urgency of the problem being solved for the airline management under the conditions of the existing changes in the dynamic situation with a great variety of flight situations. A mathematical statement of the problem is formulated and a universal optimality criterion is proposed in the form of a sum of additive and multiplicative forms, including partial quality indicators. The search for optimal and rational solutions to the pr

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20

Marouani, I., A. Boudjemline, T. Guesmi, and H. H. Abdallah. "A Modified Artificial Bee Colony for the Non- Smooth Dynamic Economic/Environmental Dispatch." Engineering, Technology & Applied Science Research 8, no. 5 (2018): 3321–28. https://doi.org/10.5281/zenodo.1490313.

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This paper presents an improved artificial bee colony (ABC) technique for solving the dynamic economic emission dispatch (DEED) problem. Ramp rate limits, valve-point loading effects and prohibited operating zones (POZs) have been considered. The proposed technique integrates the grenade explosion method and Cauchy operator in the original ABC algorithm, to avoid random search mechanism. However, the DEED is a multi-objective optimization problem with two conflicting criteria which need to be minimized simultaneously. Thus, it is recommended to provide the best solution for the decision-makers

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Ciopiński, Leszek. "Methodology of an Energy Efficient-Embedded Self-Adaptive Software Design for Multi-Cores and Frequency-Scaling Processors Used in Real-Time Systems." Electronics 14, no. 3 (2025): 556. https://doi.org/10.3390/electronics14030556.

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In a kind of system, where strong time constraints exist, very often, worst-case design is applied. It could drive to the suboptimal usage of resources. In previous work, the mechanism of self-adaptive software that is able to reduce this was presented. This paper introduces a novel extension of the method for self-adaptive software synthesis applicable for real-time multicore embedded systems with dynamic voltage and frequency scaling (DVFS). It is based on a multi-criteria approach to task scheduling, optimizing both energy consumption and proof against time delays. The method can be applied

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22

B. Thanikaivel. "An Efficient Dynamic Multilevel Queuing and Multi Request Handling Model for Mobile Cloud Network Using Machine Learning Technique." Journal of Information Systems Engineering and Management 10, no. 3 (2025): 01–20. https://doi.org/10.52783/jisem.v10i3.3585.

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The rapid increase in the usage of mobile devices in the day-to-day applications generates more requests and a suitable technology to handle the requests in short range of distance is Mobile Cloud Network (MCN). The research about the multiple requests handling problem is carried in this work by considering the performance, bandwidth utilization, Quality of Service (QoS) and cost issues. In this paper, a Dynamic Multilevel Queuing and Multi Request Handling (DMQMRH) model is proposed to address the above mentioned issues for efficiently handling multiple requests in dynamic environment. In the

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23

Hong, Tzu-Yen, and Chen-Fu Chien. "A simulation-based dynamic scheduling and dispatching system with multi-criteria performance evaluation for Industry 3.5 and an empirical study for sustainable TFT-LCD array manufacturing." International Journal of Production Research 58, no. 24 (2020): 7531–47. http://dx.doi.org/10.1080/00207543.2020.1777342.

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Захаров, В. В., А. Ю. Баранов, Б. В. Соколов, and Р. М. Юсупов. "Models and algorithms for centralized and decentralized scheduling of the application of grouping moving objects based on the theory of differential games." MORSKIE INTELLEKTUAL`NYE TEHNOLOGII)</msg> 1, no. 4(62) (2023): 171–78. http://dx.doi.org/10.37220/mit.2023.62.4.021.

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Актуальность и цели. Одной из важнейших и актуальных задач, обеспечивающих эффективное функционирование группировки (Гр) подвижных объектов (ПдО) является задача комплексного планирования (КП) их применения. Цель статьи состоит в обобщенном описании специального модельно-алгоритмического обеспечения (СМАО) решения задачи КП применения Гр ПдО. Материалы и методы. Главные проблемы и трудности задачи КП состоят в распределенности, нестационарности и нелинейности процессов, которые требуется описывать при ее постановке и решении. Традиционно формальное описание и решение исследуемой задачи проводи

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Wang, Honggang, Weibing Du, Bo Qin, Ruoyu Pan, and Shengli Pang. "A Real-Time System Status Evaluation Method for Passive UHF RFID Robots in Dynamic Scenarios." Electronics 13, no. 21 (2024): 4162. http://dx.doi.org/10.3390/electronics13214162.

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In dynamic scenarios, the status of a Radio Frequency Identification (RFID) system fluctuates with environmental changes. The key to improving system efficiency lies in the real-time monitoring and evaluation of the system status, along with adaptive adjustments to the system parameters and read algorithms. This paper focuses on the status changes in RFID systems in dynamic scenarios, aiming to enhance system robustness and reading performance, ensuring high link quality, reasonable resource scheduling, and real-time status evaluation under varying conditions. This paper comprehensively consid

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López Ayala, Carlos Andrés, Wilson Jurado Valbuena, and Eduyn Ramiro Lopez Santana. "Proposal of a Dynamic Algorithm for the Maintenance and Vehicle Routing Problem with Time Windows." Ingeniería 26, no. 3 (2022): 436–49. http://dx.doi.org/10.14483/23448393.18482.

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Context: In the context of business organizations, every process in which the product is immersed has a cost and time associated with it. The area of maintenance planning and scheduling is no exception; however, it is an aspect in which few companies specialize, tending to be outsourced. In this sense, the application of combinatorial models is a tool with a high potential to improve the overall performance of the organization through the understanding of the integral maintenance process. Method: A two-phase (maintenance and routing) dynamic algorithm is proposed which considers a set of clien

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Ortíz-Barrios, Miguel, Antonella Petrillo, Fabio De Felice, Natalia Jaramillo-Rueda, Genett Jiménez-Delgado, and Luz Borrero-López. "A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context." Applied Sciences 11, no. 11 (2021): 5107. http://dx.doi.org/10.3390/app11115107.

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Scheduling flexible job-shop systems (FJSS) has become a major challenge for different smart factories due to the high complexity involved in NP-hard problems and the constant need to satisfy customers in real time. A key aspect to be addressed in this particular aim is the adoption of a multi-criteria approach incorporating the current dynamics of smart FJSS. Thus, this paper proposes an integrated and enhanced method of a dispatching algorithm based on fuzzy AHP (FAHP) and TOPSIS. Initially, the two first steps of the dispatching algorithm (identification of eligible operations and machine s

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Hamouda, Soumaya, and Tarek Bejaoui. "Enhanced Relay Selection and Scheduling for Better Load Balancing in Multi-Hop Networks." International Journal of Business Data Communications and Networking 8, no. 4 (2012): 17–31. http://dx.doi.org/10.4018/jbdcn.2012100102.

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Relaying technology is likely to bring real progress to the next generation cellular networks due to its capability of boosting the system capacity and coverage. However, despite recent advances in relay deployment, some challenging problems still remain such as radio resource allocation and relay selection. The authors investigate both relay selection and scheduling strategy in order to improve the system radio capacity as well as the network load balancing. They propose a new path selection scheme based on the radio channel quality and the relay station load criteria. Performance analysis sh

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Chaaf, Amir, Mohammed Saleh Ali Muthanna, Ammar Muthanna, et al. "Energy-Efficient Relay-Based Void Hole Prevention and Repair in Clustered Multi-AUV Underwater Wireless Sensor Network." Security and Communication Networks 2021 (June 30, 2021): 1–20. http://dx.doi.org/10.1155/2021/9969605.

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Underwater wireless sensor networks (UWSNs) enable various oceanic applications which require effective packet transmission. In this case, sparse node distribution, imbalance in terms of overall energy consumption between the different sensor nodes, dynamic network topology, and inappropriate selection of relay nodes cause void holes. Addressing this problem, we present a relay-based void hole prevention and repair (ReVOHPR) protocol by multiple autonomous underwater vehicles (AUVs) for UWSN. ReVOHPR is a global solution that implements different phases of operations that act mutually in order

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Schreiner, James. "Foreword by Guest Editor LTC James H. Schreiner, PhD, PMP, CPEM." Industrial and Systems Engineering Review 8, no. 1 (2021): 1. http://dx.doi.org/10.37266/iser.2020v8i1.pp1.

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FOREWORD This special issue of the Industrial and Systems Engineering Review highlights top papers from the 2020 annual General Donald R. Keith memorial capstone conference held at the United States Military Academy in West Point, NY. The conference was certainly a first of its kind virtual conference including asynchronous delivery of paper presentations followed by synchronous question and answer sessions with evaluation panels. Following a careful review of 63 total submissions, eleven were selected for publication in this journal. Unique to this year’s special edition is the mixed se

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31

Seifbarghy, Mehdi, and Ashtiani Ladan Hazrati. "A cooperative covering problem under disruption considering backup coverage." International Journal of Services and Operations Management 29, no. 2 (2017): 273–88. https://doi.org/10.1504/IJSOM.2018.089257.

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In this paper, we study the location of emergency centres considering cooperative and backup coverage while natural disasters occur which can result in facility disruption. In this regard, a reliable version of cooperative covering problem is presented considering two types of candidate sites, i.e., reliable and unreliable. To achieve a fortified system against disaster, reliable candidate sites are selected from areas which are far away from the disaster harms. Furthermore, backup coverage is considered to compensate unsatisfied coverage of the demand zones due to facility disruption. The per

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Bhakhar, Ruchika, and Rajender Singh Chhillar. "Dynamic multi-criteria scheduling algorithm for smart home tasks in fog-cloud IoT systems." Scientific Reports 14, no. 1 (2024). https://doi.org/10.1038/s41598-024-81055-0.

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Zakharov, V. V., and E. E. Scherbakova. "Model-algorithmic support for socio-cyber- physical systems scheduling functioning." Informatization and communication 2 (2024). http://dx.doi.org/10.34219/2078-8320-2024-15-2-81-85.

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Goal. Development of model-algorithmic support for solving problems of socio-cyber-physical systems scheduling. Materials and methods. To achieve this goal, the authors used the methodology of the theory of structural dynamics proactive control of complex objects and the system-neocybernetic approach. Results. An approach (model and algorithm) is proposed, within the framework of which it is possible to approach the formalization and solution of multicriteria selection problems arising at various stages of the life cycle of complex organizational and technical complexes from a unified position

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\DJurasević, Marko, Francisco J. Gil-Gala, and Domagoj Jakobović. "Constructing ensembles of dispatching rules for multi-objective tasks in the unrelated machines environment." Integrated Computer-Aided Engineering, February 10, 2023, 1–18. http://dx.doi.org/10.3233/ica-230704.

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Scheduling is a frequently studied combinatorial optimisation that often needs to be solved under dynamic conditions and to optimise multiple criteria. The most commonly used method for solving dynamic problems are dispatching rules (DRs), simple constructive heuristics that build the schedule incrementally. Since it is difficult to design DRs manually, they are often created automatically using genetic programming. Although such rules work well, their performance is still limited and various methods, especially ensemble learning, are used to improve them. So far, ensembles have only been used

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Gabi, Danlami, Abdul Samad Ismail, Anazida Zainal, Zalmiyah Zakaria, and Ahmad Al-Khasawneh. "HYBRID CAT SWARM OPTIMIZATION AND SIMULATED ANNEALING FOR DYNAMIC TASK SCHEDULING ON CLOUD COMPUTING ENVIRONMENT." Journal of Information and Communication Technology, June 12, 2018. http://dx.doi.org/10.32890/jict2018.17.3.8260.

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The unpredictable number of task arriving at cloud datacentre and the rescaling of virtual processing elements can affect the provisioning of better Quality of Service expectations during task scheduling in cloud computing. Existing researchers have contributed several task scheduling algorithms to provide better QoS expectations but are characterized with entrapment at the local search and high dimensional breakdown due to slow convergence speed and imbalance between global and local search, resulting from lack of scalability. Dynamic task scheduling algorithms that can adjust to long-time ch

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Luan, Fei, Biao Tang, Ye Li, et al. "Solving multi-objective green flexible job shop scheduling problem by an improved chimp optimization algorithm." Journal of Intelligent & Fuzzy Systems, February 7, 2024, 1–14. http://dx.doi.org/10.3233/jifs-236157.

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As environmental contamination becomes more and more severe, enterprises need to consider optimizing environmental criteria while optimizing production criteria. In this study, a multi-objective green flexible job shop scheduling problem (MO_GFJSP) is established with two objective functions: the makespan and the carbon emission. To effectively solve the MO_GFJSP, an improved chimp optimization algorithm (IChOA) is designed. The proposed IChOA has four main innovative aspects: 1) the fast non-dominated sorting (FDS) method is introduced to compare the individuals with multiple objectives and s

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Cucinotta, Tommaso, Alexandre Amory, Gabriele Ara, Francesco Paladino, and Marco Di Natale. "Multi-Criteria Optimization of Real-Time DAGs on Heterogeneous Platforms under P-EDF." ACM Transactions on Embedded Computing Systems, April 13, 2023. http://dx.doi.org/10.1145/3592609.

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This paper tackles the problem of optimal placement of complex real-time embedded applications on heterogeneous platforms. Applications are composed of directed acyclic graphs of tasks, with each DAG having a minimum inter-arrival period for its activation requests, and an end-to-end deadline within which all of the computations need to terminate since each activation. The platforms of interest are heterogeneous power-aware multi-core platforms with DVFS capabilities, including big.LITTLE Arm architectures, and platforms with GPU or FPGA hardware accelerators with Dynamic Partial Reconfigurati

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Wei, Cong, and Jilin Cheng. "Optimal allocation of irrigation water in a single- reservoir-and-single-pumping-station system under deficit irrigation conditions." Water Supply, December 10, 2022. http://dx.doi.org/10.2166/ws.2022.424.

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Abstract Aiming at the optimal allocation of irrigation water in multi-water source project in water resource shortage area, this study developed a water resource joint scheduling optimization model for the reservoir and the pumping station under deficit irrigation conditions. In the model, the maximum annual yield of the irrigation area was the objective function; the water supply, water spill of the reservoir and replenishment water of the pump station at each stage as the decision variables; and the total annual water supply of the system, the reservoir operation criteria, the water rights

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George, Kokotinis, Michalos George, Arkouli Zoi та Makris Sotiris. "Α Behavior Trees-based architecture towards operation planning in hybrid manufacturing". 30 червня 2023. https://doi.org/10.1080/0951192X.2023.2228254.

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In modern manufacturing, the capability of process scheduling and task allocation is a major feature for the proper organization of complex production schedules. More particularly, the case of human-robot collaboration within assembly lines is considered as a quite challenging field, where an efficient process scheduling can reduce products’ delivery times, increasing in parallel its quality. The purpose of this paper is to propose an approach focusing on operation planning for Human-Robot Collaborative processes that consist of many tasks and multiple resources, such as the assembly of

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Pietroń, Roman. "Cooperation platform for distributed manufacturing." Decision Making in Manufacturing and Services 14, no. 2 (2021). http://dx.doi.org/10.7494/dmms.2020.14.2.3650.

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The aim of the paper is to analyse contemporary trends in distributed manufacturing (DM) research and to present a concept to develop and test some task allocation, planning and scheduling algorithms for DM network organisations. Some concepts to identify key factor criteria and reasoning policies and rules for production/manufacturing decision support system are also undertaken. And finally, an aim is to draw a proposal for a development of a prototype decision support system with necessary communication and knowledge oriented modules to be implemented in an example of dynamic, DM and logisti

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Zhang, Guangli, Rui Ma, Yunfeng Kong, Chenchen Lian, Hao Guo, and Shiyan Zhai. "A multi-period capacitated facility location problem with maximum travel time and backup service for locating and sizing EMS stations." Computational Urban Science 4, no. 1 (2024). http://dx.doi.org/10.1007/s43762-024-00143-z.

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AbstractEmergency medical services (EMS) is a system that provides emergency medical care for incidents involving serious illness or injury. The location of EMS stations plays an essential role in delivering effective and efficient medical services. Numerous location models have been developed for locating and sizing EMS stations. However, it remains challenging to satisfy all EMS planning criteria within a single location model. In this study, a multi-period capacitated facility location problem with maximum travel time and backup service (EMSLSP) is proposed for locating and sizing EMS stati

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Pépin, Stéphane Morin, and Adel Francis. "Ability of Technologies to Collect the Positioning and Occupancy of Work Crews and Resources on Construction Job Sites." Open Civil Engineering Journal 19, no. 1 (2025). https://doi.org/10.2174/0118741495375592250610133455.

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Introduction Efficiently updating construction schedules is vital for managing dynamic workflows. Traditional methods like Gantt charts rely on manual updates, but newer approaches, such as Chronographic Modelling and Dynamic Modelling of Occupancy Rate Scheduling (DMORS), require tracking spatial positioning and occupancy rates of teams and resources. Given the complexity of these tasks, emerging technologies are being adopted to enhance data collection. Methods This study reviews recent advancements in tracking construction site occupancy and spatial positioning. It categorizes these technol

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