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Journal articles on the topic 'Set of non-dominated schedules'

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Published: 7 June 2025

Last updated: 2 August 2025

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1

D.Rajeswari and SenthilKumar V.Jawahar. "Multiprocessor Scheduling And Performance Evaluation Using Elitist Non Dominated Sorting Genetic Algorithm for Independent Task." International Journal on Computational Science & Applications (IJCSA) 5, no. 5 (2015): 11. https://doi.org/10.5281/zenodo.3295895.

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Task scheduling plays an important part in the improvement of parallel and distributed systems. The problem of task scheduling has been shown to be NP hard. The time consuming is more to solve the problem in deterministic techniques. There are algorithms developed to schedule tasks for distributed environment, which focus on single objective. The problem becomes more complex, while considering biobjective. This paper presents bi-objective independent task scheduling algorithm using elitist Nondominated sorting genetic algorithm (NSGA-II) to minimize the makespan and flowtime. This algorithm ge

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Kamali, Seyed Ruhollah, Touraj BaniRostm, Homayun Motameni, and Mohammad Teshnehlab. "An immune inspired multi-agent system for dynamic multi-objective optimization." Knowledge-Based Systems 262 (March 1, 2025): 110242. https://doi.org/10.1016/j.knosys.2022.110242.

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In this paper, a biological immune-based multi agent system (IMAS) is developed to overcome the multi-objectivity and dynamicity of the multi-objective dynamic flexible job shop scheduling (MODFJSS) problem. In modeling the MODFJSS problem, four objectives, i.e., makespan, total weighted tardiness, maximal machine workload, and schedule stability, are considered for simultaneous optimization. In the proposed IMAS architecture, immune agents are coordinated to identify the environment, generate a set of non-dominated schedules, and select a utility optimal schedule. In addition, these agents ha

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Rose, Christopher, and Jenny Coenen. "Automatic generation of a section erection planning for European shipyards building complex ships." Journal of Manufacturing Technology Management 27, no. 4 (2016): 483–501. http://dx.doi.org/10.1108/jmtm-11-2015-0106.

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Purpose – The purpose of this paper is to present a method for generating a set of feasible, optimized production schedules for the erection process of compact shipyards building complex ship types. Design/methodology/approach – A bi-objective mathematical model is developed based on the process constraints. A Pareto front of possible erection schedules is created using a the Non-dominated Sorting Genetic Algorithm II with a custom heuristic fitness function and constraint violation. Findings – It was possible to consistently generate a wide variety of production schedules with superior perfor

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Babor, Majharulislam, Line Pedersen, Ulla Kidmose, Olivier Paquet-Durand, and Bernd Hitzmann. "Application of Non-Dominated Sorting Genetic Algorithm (NSGA-II) to Increase the Efficiency of Bakery Production: A Case Study." Processes 10, no. 8 (2022): 1623. http://dx.doi.org/10.3390/pr10081623.

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Minimizing the makespan is an important research topic in manufacturing engineering because it accounts for significant production expenses. In bakery manufacturing, ovens are high-energy-consuming machines that run throughout the production time. Finding an optimal combination of makespan and oven idle time in the decisive objective space can result in substantial financial savings. This paper investigates the hybrid no-wait flow shop problems from bakeries. Production scheduling problems from multiple bakery goods manufacturing lines are optimized using Pareto-based multi-objective optimizat

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NG, C. T., NATALJA M. MATSVEICHUK, YURI N. SOTSKOV, and T. C. EDWIN CHENG. "TWO-MACHINE FLOW-SHOP MINIMUM-LENGTH SCHEDULING WITH INTERVAL PROCESSING TIMES." Asia-Pacific Journal of Operational Research 26, no. 06 (2009): 715–34. http://dx.doi.org/10.1142/s0217595909002432.

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The flow-shop minimum-length scheduling problem with n jobs processed on two machines is addressed where processing times are uncertain: only lower and upper bounds of the random processing times are given before scheduling, but their probability distributions are unknown. For such a problem, there may not exist a dominant schedule that remains optimal for all possible realizations of the processing times and so we look for a minimal set of schedules that are dominant. We obtain necessary and sufficient conditions for the case when it is possible to fix the order of two jobs in a minimal set o

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Peng, F., and L. Zheng. "An improved multi-objective Wild Horse optimization for the dual-resource-constrained flexible job shop scheduling problem: A comparative analysis with NSGA-II and a real case study." Advances in Production Engineering & Management 18, no. 3 (2023): 271–87. http://dx.doi.org/10.14743/apem2023.3.472.

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The equipment manufacturing industry needs skilled workers to operate a specific set of machines following process specifications. Optimizing machine and worker assignments to achieve maximum efficiency is a critical problem for workshop managers. This paper investigates a multi-objective dual-resource-constrained flexible job shop scheduling problem. An improved wild horse optimization (IWHO) algorithm is developed to simultaneously optimize three objectives: makespan, maximum machine workload, and total machine workload. To evaluate the quality of individuals in multi-objective optimization,

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CAPPELLO, PETER, and ÖMER EĞECIOĞLU. "PROCESSOR LOWER BOUND FORMULAS FOR ARRAY COMPUTATIONS AND PARAMETRIC DIOPHANTINE SYSTEMS." International Journal of Foundations of Computer Science 09, no. 04 (1998): 351–75. http://dx.doi.org/10.1142/s0129054198000295.

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Using a directed acyclic graph (dag) model of algorithms, we solve a problem related to precedence-constrained multiprocessor schedules for array computations: Given a sequence of dags and linear schedules parametrized by n, compute a lower bound on the number of processors required by the schedule as a function of n. In our formulation, the number of tasks that are scheduled for execution during any fixed time step is the number of non-negative integer solutions dn to a set of parametric linear Diophantine equations. We present an algorithm based on generating functions for constructing a for

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Chang, Yung-Chia, Kuei-Hu Chang, and Ching-Ping Zheng. "Application of a Non-Dominated Sorting Genetic Algorithm to Solve a Bi-Objective Scheduling Problem Regarding Printed Circuit Boards." Mathematics 10, no. 13 (2022): 2305. http://dx.doi.org/10.3390/math10132305.

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An unrelated parallel machine scheduling problem motivated by the scheduling of a printed circuit board assembly (PCBA) under surface mount technology (SMT) is discussed in this paper. This problem involved machine eligibility restrictions, sequence-dependent setup times, precedence constraints, unequal job release times, and constraints of shared resources with the objectives of minimizing the makespan and the total job tardiness. Since this scheduling problem is NP-hard, a mathematical model was first built to describe the problem, and a heuristic approach using a non-dominated sorting genet

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Rhodes, David L., and Wayne Wolf. "TWO CONP-COMPLETE SCHEDULE ANALYSIS PROBLEMS." International Journal of Foundations of Computer Science 12, no. 05 (2001): 565–80. http://dx.doi.org/10.1142/s0129054101000667.

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While many forms of schedule decision problems are known to be NP-complete, two forms of schedule analysis problems are shown to be coNP-complete in the strong sense. Each of these involve guaranteeing that all deadlines are met for a set of task-graphs in statically-mapped, priority-based, multiprocessor schedules given particular variabilities. Specifically, the first of these allows run-times which axe bracketed, where the actual run-time of some tasks can take on any value within a given range. The second deals with task-graphs which arrive asynchronously, that is where the release-time fo

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Eletin, Evgeny Vasil'evich, Galina Sergeevna Borovkova, and Aleksandr Vasil'evich Galkin. "Planning optimal loading of railway transport of mining company." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2023, no. 1 (2023): 50–56. http://dx.doi.org/10.24143/2073-5529-2023-1-50-56.

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The article considers the problem of planning the optimal loading of freight trains on a limited railway network – the network of a mining company. Two variants are illustrated. In the first variant only one type of locomotives operates on the railway network. In the second variant there are different types of locomotives. The types of lo-comotives are determined by their carrying capacity. The algorithm of scheduling multiple locomotives in a network is a combination of solutions for particular scheduling problems for each locomotive subject to the restrictions on their joint movement. Struct

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Manganaro, L., A. Attili, T. Bortfeld, and H. Paganetti. "Spatiotemporal optimisation of prostate intensity modulated proton therapy (IMPT) treatments." Physics in Medicine & Biology 67, no. 4 (2022): 045005. http://dx.doi.org/10.1088/1361-6560/ac4fa2.

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Abstract Objective. In intensity modulated particle therapy (IMPT), the adoption of spatially and temporally heterogeneous dose distributions allows to decouple the fractionation scheme from the patient anatomy, so that an hypofractionated schedule can be selectively created inside the tumour, while simultaneously exploiting the fractionation effect in the healthy tissues. In this paper, the authors show the reproducibility of the method on a set of prostate patients, quantifying the dependencies of the achievable benefit with respect to conventional and hypofractionated schemes and the sensit

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Nadakuditi, Gouthamkumar, Harish Pulluri, Preeti Dahiya, et al. "Non-Dominated Sorting-Based Hybrid Optimization Technique for Multi-Objective Hydrothermal Scheduling." Energies 16, no. 5 (2023): 2316. http://dx.doi.org/10.3390/en16052316.

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Short-term hydrothermal scheduling problem plays an important role in maintaining a high degree of economy and reliability in power system operational planning. Since electric power generation from fossil fired plants forms a major part of hydrothermal generation mix, therefore their emission contributions cannot be neglected. Hence, multi-objective short term hydrothermal scheduling is formulated as a bi-objective optimization problem by considering (a) minimizing economical power generation cost, (b) minimizing environmental emission pollution, and (c) simultaneously minimizing both the conf

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Mara, Michael, Felix Heide, Michael Zollhöfer, Matthias Nießner, and Pat Hanrahan. "Thallo – Scheduling for High-Performance Large-Scale Non-Linear Least-Squares Solvers." ACM Transactions on Graphics 40, no. 5 (2021): 1–14. http://dx.doi.org/10.1145/3453986.

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Large-scale optimization problems at the core of many graphics, vision, and imaging applications are often implemented by hand in tedious and error-prone processes in order to achieve high performance (in particular on GPUs), despite recent developments in libraries and DSLs. At the same time, these hand-crafted solver implementations reveal that the key for high performance is a problem-specific schedule that enables efficient usage of the underlying hardware. In this work, we incorporate this insight into Thallo, a domain-specific language for large-scale non-linear least squares optimizatio

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Reifman, Jaques, Francisco Vital-Lopez, and Tracy Jill Doty. "0170 When to Sleep and Work to Optimize Alertness." SLEEP 46, Supplement_1 (2023): A76. http://dx.doi.org/10.1093/sleep/zsad077.0170.

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Abstract Introduction Currently, millions of individuals work outside of the conventional 9-to-5 work shift and are often required to sleep at times that are not conducive to maximizing restorative sleep. This insufficient sleep leads to health and cognitive performance impairments that compromise workers’ safety and productivity. This can be mitigated by sleeping at the time of day that maximizes the restorative benefits of sleep and working at favorable hours, within their particular opportunity windows. Here, we present an optimization algorithm to identify sleep and work schedules that max

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Lehuang, Zong, and Wanatchapong Kongkaew. "A Multi-Objective Variable Neighborhood Search Algorithm for Precast Production Scheduling." Engineering Journal 24, no. 6 (2020): 139–57. http://dx.doi.org/10.4186/ej.2020.24.6.139.

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In real life, precast production schedulers face the challenges of creating a reasonable schedule to satisfy multiple conflicting objectives. Practical constraints and objectives encountered in the precast production scheduling problem (PPSP) were addressed, with the goal to minimize makespan and total earliness and tardiness penalties. A multi-objective variable neighborhood search (MOVNS) algorithm was proposed and the performance was tested on 11 problem instances. Ten of these were generated using precast concrete production information taken from the literature. One real industrial proble

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Alvin, Nathaniel, and I.-Tung Yang. "MULTI-RESOURCE ALLOCATION AND LEVELING IN MULTI-PROJECT SCHEDULING PROBLEM WITH HYBRID-CHROMOSOME NON-DOMINATED SORTING GENETIC ALGORITHM II." Dimensi Utama Teknik Sipil 10, no. 2 (2023): 232–51. http://dx.doi.org/10.9744/duts.10.2.232-251.

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Multi-resource allocation and leveling in multi-project (MR-AL-MP) scheduling refers to the attempt of producing a project schedule with minimum project duration and maximum resource utilization while complying with all precedence and resource availability constraints in a multi-project environment involving multiple resources. This study proposes a model that integrates both resource allocation and leveling models into a unified framework. This study develops a modified version of the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), called Hybrid-Chromosome NSGA-II, as the optimization a

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Takleef, Firas, Omar Ayadi, and Faouzi Masmoudi. "An Integrated Optimization Method for Resource-Constrained Schedule Compression Under Uncertainty in Construction Projects." Applied Sciences 15, no. 8 (2025): 4089. https://doi.org/10.3390/app15084089.

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An integrated solution that considers the shortening of scheduling and the planning of resource integration was conceived. The proposed method allocates the resources and the execution mode costs effectively in order to minimize the project duration and the cost of construction activities. Costs are managed based on the management of the costs already in place for people and those costs involved in the modes of execution of the project, trying to decrease the cost as much as possible. The proposed method is used in order to achieve the maximum potential and minimum costs during a project, incl

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Wathiq N. Abdullah. "Solving Job-Shop Scheduling Problem Using Genetic Algorithm Approach." Journal of the College of Basic Education 17, no. 70 (2022): 241–53. http://dx.doi.org/10.35950/cbej.vi.8491.

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An effective job shop scheduling (JSS) in the manufacturing industry is helpful to meet the production demand and reduce the production cost, and to improve the ability to compete in the ever increasing volatile market demanding multiple products.In so many combinatorial optimization problems, job shop scheduling problems have earned a reputation for being difficult to solve. Job-shop scheduling is essentially an ordering problem. A new encoding scheme for a classic job-shop scheduling problem is presented. The aim is to find an allocation for each job and to define the sequence of jobs on eac

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Ait Haddadene, Syrine Roufaida, Nacima Labadie, and Caroline Prodhon. "Bicriteria Vehicle Routing Problem with Preferences and Timing Constraints in Home Health CareServices." Algorithms 12, no. 8 (2019): 152. http://dx.doi.org/10.3390/a12080152.

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Home Healthcare (HHC) is an emerging and fast-expanding service sector that gives rise to challenging vehicle routing and scheduling problems. Each day, HHC structures must schedule the visits of caregivers to patients requiring specific medical and paramedical services at home. These operations have the potential to be unsuitable if the visits are not planned correctly, leading hence to high logistics costs and/or deteriorated service level. In this article, this issue is modeled as a vehicle routing problem where a set of routes has to be built to visit patients asking for one or more specif

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Stanković, Aleksandar, Goran Petrović, Danijel Marković, Žarko Ćojbašić, and Nikola Simić. "Metaheuristic algorithms for the flexible job-shop scheduling problem." IMK-14 - Istrazivanje i razvoj 26, no. 2 (2020): 49–56. http://dx.doi.org/10.5937/imk2002049s.

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The problem with flexible job planning (FJSP) is a modification o f the classic job booking problem. This paper deals with the problem o f flexible job deployment and processing o f operations on one machine from a set o f alternative machines. The problem o f deploying flexible jobs in real time is one o f a group o f difficult NP problems (Non-deterministic polynomial time). The motive o f this paper is to show the application o f meta-heuristic algorithms on the example of flexible job schedules and present the appropriate method to future studies. To solve this problem, two meta-heuristic

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Lo, Ting-Chun, and Bertrand M. T. Lin. "Relocation Scheduling in a Two-Machine Flow Shop with Resource Recycling Operations." Mathematics 9, no. 13 (2021): 1527. http://dx.doi.org/10.3390/math9131527.

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This paper considers a variant of the relocation problem, which is formulated from an urban renewal project. There is a set of jobs to be processed in a two-machine flow shop subject to a given initial resource level. Each job consumes some units of the resource to start its processing on machine 1 and will return some amount of the resource when it is completed on machine 2. The amount of resource released by a job is not necessarily equal to the amount of resource acquired by the job for starting the process. Subject to the resource constraint, the problem is to find a feasible schedule whos

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Vitulli, William F., Rwanda Aker, Stanley W. Howard, Wendy M. Jones, Morgan W. Kimball, and Joseph M. Quinn. "Salty Solutions: Their Effects on Thermal Set Points in Behavioral Repertoires of Albino Rats." Perceptual and Motor Skills 79, no. 1 (1994): 211–15. http://dx.doi.org/10.2466/pms.1994.79.1.211.

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Salt (sodium chloride) has been linked to increased blood pressure and a rise in core body temperature. The objective of this study was to investigate the role played by salt in altering behavioral thermoregulation in albino rats. Different doses of sodium chloride were administered (ip) prior to fixed-interval 2-min. schedules of microwave reinforcement in rats tested in a cold Skinner Box. Three Sprague-Dawley rats were conditioned to regulate their thermal environment with 5-sec. exposures of MW reinforcement in a repeated-measures reversal design. Friedman's non-parametric test showed sign

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Huslig, Susan M., and Michael W. Smith. "INFLUENCE OF IRRIGATION TREATMENTS ON PEACH GROWTH AND YIELD." HortScience 25, no. 8 (1990): 853b—853. http://dx.doi.org/10.21273/hortsci.25.8.853b.

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Irrigation schedules were evaluated on `Cresthaven' to determine if water could be conserved without reducing fruit size or yield. Tensiometers were used to schedule trickle irrigation in 1984-88. Treatments were no irrigation or irrigation when soil matric potential reached 40 or 60 KPa 30 cm deep. When production began in 1986, trees were either irrigated until Oct. or until after harvest (1-7 Aug.). In 1989, class A pan evaporation was used to schedule irrigation by replacing 100% evaporation. Trees were irrigated from bud break to harvest or Oct., beginning at stage III fruit growth to har

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Zhao, Yun, Xiaoning Shen, and Zhongpei Ge. "A Knowledge-Guided Multi-Objective Shuffled Frog Leaping Algorithm for Dynamic Multi-Depot Multi-Trip Vehicle Routing Problem." Symmetry 16, no. 6 (2024): 697. http://dx.doi.org/10.3390/sym16060697.

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Optimization algorithms have a wide range of applications in symmetry problems, such as graphs, networks, and pattern recognition. In this paper, a dynamic periodic multi-depot multi-trip vehicle routing model for scheduling test samples is constructed, which considers the differences in testing unit price and testing capacity of various agencies and introduces a cross-depot collaborative transport method. Both the cost and the testing time are minimized by determining the optimal sampling routes and testing agencies, subjecting to the constraints of vehicle capacity, number of vehicles, and d

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Golias, Mihalis M., Maria Boilé, Sotirios Theofanis, and Heidi A. Taboada. "A Multi-Objective Decision and Analysis Approach for the Berth Scheduling Problem." International Journal of Information Technology Project Management 1, no. 1 (2010): 54–73. http://dx.doi.org/10.4018/jitpm.2010100205.

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Berth scheduling can be described as the resource allocation problem of berth space to vessels in a container terminal. When defining the allocation of berths to vessels container terminal operators set several objectives which ideally need to be optimized simultaneously. These multiple objectives are often non-commensurable and gaining an improvement on one objective often causes degrading performance on the other objectives. In this paper, the authors present the application of a multi-objective decision and analysis approach to the berth scheduling problem, a resource allocation problem at

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Vintoniak, Alla. "Features of the administrative time management organization as a way of non-standard employee motivation." Galic'kij ekonomičnij visnik 83, no. 4 (2023): 107–13. http://dx.doi.org/10.33108/galicianvisnyk_tntu2023.04.107.

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This article discusses the general features of the time management organization, as well as in the context of non-standard staff motivation. It is emphasized that in the modern world, with the frantic pace of life and the development of society and technology, it is impossible to use your time effectively without first planning and organizing your schedule, in other words, without using time management. We have analyzed previous studies of the time-management effectiveness organization by leading world and domestic scientists. Their views on this process from both a theoretical and a practical

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Sidorenko, Valentina, Ekaterina Kopylova, Anton Safronov, and Mihail Tumanov. "Experience and Perspectives of Transportation Process Control Automation for Rapid-Transit Transport of Urban Agglomerations." Transport automation research 9, no. 1 (2023): 33–48. http://dx.doi.org/10.20295/2412-9186-2023-9-01-33-48.

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The article analyses the technological process of transportation process organization and its control in different systems of urban agglomeration rapid-transit transport. It is presented the generalization of organization technological schemes of transportation process at the compilation of normative documents-schedules of: train traffic, rolling stock turnover, work of locomotive teams. Common features, allowing to share automation and digitization positive experience from one transport systems to another, are revealed. As a typical example for urban agglomeration rapid-transit transport, the

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Hanif, Huma, and Ali Ahsan. "Non-Linear Impact of Organizational Structure on Schedule Management for R&D Project Success: An ANN Approach." Mehran University Research Journal of Engineering and Technology 38, no. 2 (2019): 275–304. http://dx.doi.org/10.22581/muet1982.1902.04.

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To attain project success in R&D (Research & Development) public sector environment, the aspects of an organizational structure play a vital role in the successful implementation of R&D projects. Nevertheless, not meeting proposed timelines and inadequate management of schedules of R&D projects is the intrinsic hurdle in R&D projects. However, the study gauging the impact of organizational structure on the schedule management of R&D projects has never been discussed before. Therefore, this study aims to gauge the effectiveness of organizational structure and schedule ma

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Hoshino, Richard, and Ken-ichi Kawarabayashi. "The Linear Distance Traveling Tournament Problem." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (2021): 1770–78. http://dx.doi.org/10.1609/aaai.v26i1.8358.

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We introduce a linear distance relaxation of the n-team Traveling Tournament Problem (TTP), a simple yet powerful heuristic that temporarily "assumes"' the n teams are located on a straight line, thereby reducing the n(n–1)/2 pairwise distance parameters to just n–1 variables. The modified problem then becomes easier to analyze, from which we determine an approximate solution for the actual instance on n teams. We present combinatorial techniques to solve the Linear Distance TTP (LD-TTP) for n = 4 and n = 6, without any use of computing, generating the complete set of optimal distances regardl

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Царьков and Igor Tsarkov. "Easy Heuristic Way of Compromise Schedules Finding in Projects with Double-Constrained Resources." Russian Journal of Project Management 4, no. 4 (2015): 12–22. http://dx.doi.org/10.12737/17502.

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Double-constrained resources are limited both on entire project, and for every period of its performance. Thus a project schedule formation problem represents a problem related to finding a tripartite compromise between project duration, and also renewable and non-renewable resources. It is one of the most difficult classes of tasks with determined parameters in which already at number of works in the project more than 20 it is possible to find the optimum solution only incidentally. Even heuristic methods are difficult and demand automation of calculations. In this work an algorithm and a set

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Teslyuk, V. M., A. Ye Batyuk, and V. V. Voityshyn. "METHOD OF BUILDING A NORMALIZED IMPLEMENTATION SCHEDULE OF A SOFTWARE DEVELOPMENT PROJECT FOR A SCRUM TEAM WITH NON-DIFFERENTIATED SPECIALIZATIONS." Ukrainian Journal of Information Technology 6, no. 2 (2024): 11–19. https://doi.org/10.23939/ujit2024.02.011.

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From the business standpoint, predictability of the resources and time required for successful project completion is one of the key aspects of software development. This estimate significantly impacts project implementation and its outcomes – underestimation often leads to failures. An implementation schedule is one of the key ingredients of software development project estimation. Over recent years, the software development business has become even more competitive which, in turn, has imposed more demanding requirements on estimates – the more accurate an estimate is, and the less working tim

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Baier, Lukas, Toni Donhauser, Peter Schuderer, and Jörg Franke. "Heuristical Solution for Scheduling Single Stage Parallel Machines Production of Calcium Silicate Masonry Units with Sequence-Dependent Changeover Times to Improve Energy Efficiency." Applied Mechanics and Materials 871 (October 2017): 208–19. http://dx.doi.org/10.4028/www.scientific.net/amm.871.208.

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Determination of optimal production schedules is a complex combinatorial task and may be dependent on various objectives. Hence, many mathematical problem formulations and solving strategies have already been proposed each considering individually constrained applications in order to minimize non-value-adding times or other cost driving factors. Nevertheless, obtaining optimal solutions is still related to extensive computational resources and time efforts.As a result, heuristical approaches or combinations of heuristics and exact algorithms are of major importance when it comes to automatical

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Moudani, Walid, and Félix Mora-Camino. "Management of Bus Driver Duties Using Data Mining." International Journal of Applied Metaheuristic Computing 2, no. 2 (2011): 21–50. http://dx.doi.org/10.4018/ijamc.2011040102.

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This paper presents Bus Driver Allocation Problem (BDAP) which deals with the assignment of the drivers to the scheduled duties so that operations costs are minimized while its solution meets hard constraints resulting from the safety regulations of public transportation authorities as well as from the internal company’s agreements. Another concern in this study is the overall satisfaction of the drivers since it has important consequences on the quality and economic return of the company operations. This study proposes a non-dominated bi-criteria allocation approach of bus drivers to trips wh

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Jin, Liangliang, Chaoyong Zhang, Xinyu Shao, and Xudong Yang. "A study on the impact of periodic and event-driven rescheduling on a manufacturing system: An integrated process planning and scheduling case." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 3 (2016): 490–504. http://dx.doi.org/10.1177/0954405416629585.

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The integration of process planning and scheduling is a very important problem because it proposes a new idea for improving the performance of a manufacturing system. At present, most existing studies on this problem are static, which assumes that all the jobs to be processed are available in the beginning. However, the practical processing situation is dynamic, such as new job arrivals. Since dynamic production situations are different with static cases, it is important to study the characteristics of actual production situations. In this article, the characteristics of dynamic integrated pro

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Mungan, Deniz, Junfang Yu, Bhaba R. Sarker, and Mohammad Anwar Rahman. "A Pareto-Optimal Solution for a Multi-Objective Scheduling Problem with Periodic Maintenance Requirement." International Journal of Operations Research and Information Systems 3, no. 2 (2012): 24–45. http://dx.doi.org/10.4018/joris.2012040102.

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A Pareto-optimal solution is developed in this paper for a scheduling problem on a single machine with periodic maintenance and non-preemptive jobs. Most of the scheduling problems address only one objective function, while in the real world, such problems are always associated with more than one objective. In this paper, both multi-objective functions and multi-maintenance periods are considered for a machine scheduling problem. To avoid complexities, multiple objective functions are consolidated and transformed into a single objective function after they are weighted and assigned proper weig

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Luz, Saturnino, and Masood Masoodian. "A comparison of linear and mosaic diagrams for set visualization." Information Visualization 18, no. 3 (2018): 297–310. http://dx.doi.org/10.1177/1473871618754343.

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Linear diagrams have been shown to compare favourably to better known forms of set visualization, such as Venn and Euler diagrams, in supporting non-interactive assessment of set relationships. Recent studies that compared several variants of linear diagrams have demonstrated that users perform best at tasks involving identification of intersections, disjointness and subsets when using a horizontally drawn linear diagram with thin lines representing sets and employing vertical lines as guide lines. The essential visual task the user needs to perform in order to interpret this kind of diagram i

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Pan, Weijun, Yuanjing Huang, Zirui Yin, and Liru Qin. "Optimal Collaborative Scheduling of Multi-Aircraft Types for Forest Fires General Aviation Rescue." Aerospace 10, no. 9 (2023): 741. http://dx.doi.org/10.3390/aerospace10090741.

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The scheduling of rescue aircraft needs to be studied in depth because of its criticality for the general aviation rescue of forest fires. This paper constructs a collaborative schedule optimization model for general aviation rescue under the condition of multiple aircraft, from multiple rally points to multiple fire points, targeting the shortest rescue time and the lowest rescue cost in the context of forest fires based on the simulation verification of a forest fire that broke out simultaneously in multiple locations in Liangshan Prefecture, Sichuan Province, China. The Non-dominated Sortin

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Maouche, Nadjoua, Bhuvan Kishore, Zara Bhatti, et al. "Panobinostat in combination with bortezomib and dexamethasone in multiply relapsed and refractory myeloma; UK routine care cohort." PLOS ONE 17, no. 7 (2022): e0270854. http://dx.doi.org/10.1371/journal.pone.0270854.

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The combination of panobinostat, bortezomib and dexamethasone (PanBorDex) is available as a treatment option for relapsed refractory multiple myeloma (RRMM) based on the PANORAMA-1 trial which investigated this triplet in early relapse. In routine clinical care, PanBorDex is used primarily in later relapses and is commonly administered in attenuated dosing schedules to mitigate the treatment-related toxicity. We set out to evaluate efficacy and safety outcomes with PanBorDex later in the disease course and evaluate the role of attenuated dosing schedules. This was a retrospective evaluation of

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Letsios, Dimitrios, Jeremy T. Bradley, Suraj G, Ruth Misener, and Natasha Page. "Approximate and robust bounded job start scheduling for Royal Mail delivery offices." Journal of Scheduling 24, no. 2 (2021): 237–58. http://dx.doi.org/10.1007/s10951-021-00678-7.

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AbstractMotivated by mail delivery scheduling problems arising in Royal Mail, we study a generalization of the fundamental makespan scheduling $$P||C_{\max }$$ P | | C max problem which we call the bounded job start scheduling problem. Given a set of jobs, each specified by an integer processing time $$p_j$$ p j , that have to be executed non-preemptively by a set of m parallel identical machines, the objective is to compute a minimum makespan schedule subject to an upper bound $$g\le m$$ g ≤ m on the number of jobs that may simultaneously begin per unit of time. With perfect input knowledge,

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Thellenberg-Karlsson, Camilla, Jon Kindblom, Marie eva hjälm-Eriksson, et al. "Different fractionation schedules of radiotherapy to the primary tumor in metastatic hormone sensitive prostate cancer (Hypo-M1)." Journal of Clinical Oncology 40, no. 6_suppl (2022): TPS192. http://dx.doi.org/10.1200/jco.2022.40.6_suppl.tps192.

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TPS192 Background: Radiotherapy of the primary tumor in metastatic prostate cancer is life-prolonging in patients with limited disease spread. Several different fractionation schedules have been used, most widely used is a four-week schedule of 2.75-3 Gy in 19-20 fractions. More data is emerging around hypo-fractionated radiotherapy in the curative setting. We hypothesize that a modified version of the Scandinavian Hypo-trial fractionation 6.1Gy per fraction x 6 fractions over a span of 2½ week will be non-inferior in side-effects as a 4-week schedule but more convenient for patients and careg

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Ardina, Safira Cindra, Vitri Widyaningsih, and Anik Lestari. "HUBUNGAN KRONOTIPE DENGAN DERAJAT NYERI DISMENORE PADA REMAJA PUTRI." Media Penelitian dan Pengembangan Kesehatan 33, no. 4 (2023): 189–94. http://dx.doi.org/10.34011/jmp2k.v33i4.1786.

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Dysmenorrhea is one of the most common menstrual disorders in young women. The prevalence of dysmenorrhea in adolescent girls in Indonesia ranges from 16.8-81%. Girls with dysmenorrhea symptoms have a higher risk of decreased activity, experiencing hip strain, back pain, headaches, and fatigue. In school children, it can interfere with learning activities and concentration, causing academic decline. Dysmenorrhea is influenced by several factors from daily activities and habits. Activity can affect a person's sleep and wake schedule. The difference in sleep and activity schedules of each person

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Han, Chang, Leishan Zhou, Zixi Bai, Wenqiang Zhao, and Lu Yang. "An Integrated Approach to Schedule Passenger Train Plans and Train Timetables Economically Under Fluctuating Passenger Demands." Sustainability 17, no. 6 (2025): 2703. https://doi.org/10.3390/su17062703.

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High-speed railways (HSRs), with their advantages of safety, energy conservation, and convenience, are increasingly becoming the preferred mode of transportation. Railway operators schedule full-schedule timetables to operate as many trains and serve as many passengers as possible. However, due to the fluctuation in passenger demands, it is not necessary to operate all trains in full-schedule timetable, which results in high operation costs and too much energy consumption. Based on this, we propose an integrated approach to schedule passenger train plans and train timetables by selecting train

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Gabison, Sharon, Nikola Pupic, Gary Evans, Elham Dolatabadi, and Tilak Dutta. "Measuring Repositioning in Home Care for Pressure Injury Prevention and Management." Sensors 22, no. 18 (2022): 7013. http://dx.doi.org/10.3390/s22187013.

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Despite the widespread agreement on the need for the regular repositioning of at-risk individuals for pressure injury prevention and management, adherence to repositioning schedules remains poor in the clinical environment. The situation in the home environment is likely even worse. Our team has developed a non-contact system that can determine an individual’s position in bed (left-side lying, supine, or right-side lying) using data from a set of inexpensive load cells placed under the bed. This system was able to detect whether healthy participants were left-side lying, supine, or right-side

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TARAN, Igor, Guldana BIKHIMOVA, Victor DANCHUK, Aliya TOKTAMYSSOVA, Zakira TURSYMBEKOVA, and Myroslav OLISKEVYCH. "IMPROVING THE METHODOLOGY FOR OPTIMIZING MULTIMODAL TRANSPORTATION DELIVERY ROUTES AND CYCLIC SCHEDULES IN A TRANSNATIONAL DIRECTION." Transport Problems 19, no. 1 (2024): 157–70. http://dx.doi.org/10.20858/tp.2024.19.1.13.

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This study considers the task of planning the routes of multimodal transnational cargo transportation. Due to the extremely long length of such routes, delivery times and costs per cargo unit are extremely important. Delays in various types of transport and in the case of cargo transshipment are associated not only with the growth of cargo flows but also with the inconsistency of vehicle schedules. The purpose of this study is to improve the previously developed methodology for optimizing multimodal cargo transportation, taking into account the need for its application to transnational transpo

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Feng, Mingwei, Haiqing Yao, and Jie Li. "A Task Scheduling Optimization Method for Vehicles Serving as Obstacles in Mobile Edge Computing Based IoV Systems." Entropy 25, no. 1 (2023): 139. http://dx.doi.org/10.3390/e25010139.

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In recent years, as more and more vehicles request service from roadside units (RSU), the vehicle-to-infrastructure (V2I) communication links are under tremendous pressure. This paper first proposes a dynamic dense traffic flow model under the condition of fading channel. Based on this, the reliability is redefined according to the real-time location information of vehicles. The on-board units (OBU) migrate intensive computing tasks to the appropriate RSU to optimize the execution time and calculating cost at the same time. In addition, competitive delay is introduced into the model of executi

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Kasperczuk, Anna, Michał Ćwiąkała, Ernest Górka, et al. "THE CHALLENGE OF EMPLOYEE MOTIVATION IN BUSINESS MANAGEMENT." Scientific Papers of Silesian University of Technology Organization and Management Series 2025, no. 216 (2025): 161–69. https://doi.org/10.29119/1641-3466.2025.216.11.

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Purpose: This paper examines the role of employee motivation in effective business management. It also explores the impact of financial and non-financial motivators on employee engagement. Design/methodology/approach: The research used a quantitative methodology and an online survey of 102 individuals. Statistical analyses, including variance analysis and correlation analysis, were conducted to identify significant patterns and differences in motivation levels. Findings: Financial motivators, particularly bonuses for achieving targets, were identified as the most effective. Non-financial motiv

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Hughes, Kit. "Disposable." Critical Studies in Television: The International Journal of Television Studies 12, no. 2 (2017): 102–20. http://dx.doi.org/10.1177/1749602017698476.

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When television was introduced to the American public at the New York World’s Fair, its prerecorded content was dominated by sponsored film. These programs, designed to achieve goals ranging from securing participation in public health campaigns to cultivating viewer goodwill, were produced by diverse civic, governmental, educational, and industrial institutions. For many fairgoers being introduced to television, the marvel of the new medium would have been interlaced not with Hollywood and entertainment programming, but with the tropes of industrial and civic progress, corporate goodwill, and

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Prater, James, Konstantinos Kirytopoulos, and Tony Ma. "Optimism bias within the project management context." International Journal of Managing Projects in Business 10, no. 2 (2017): 370–85. http://dx.doi.org/10.1108/ijmpb-07-2016-0063.

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Purpose One of the major challenges for any project is to prepare and develop an achievable baseline schedule and thus set the project up for success, rather than failure. The purpose of this paper is to explore and investigate research outputs in one of the major causes, optimism bias, to identify problems with developing baseline schedules and analyse mitigation techniques and their effectiveness recommended by research to minimise the impact of this bias. Design/methodology/approach A systematic quantitative literature review was followed, examining Project Management Journals, documenting

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Proietti, Maria Giulia, Marco Elefante, Luca Proietti, Francesco Longhi, and Elisa Moretti. "Towards environmental sustainability of non-residential buildings: An integrated approach to combine thermal comfort of people with energy saving strategies for heating system management." E3S Web of Conferences 523 (2024): 06008. http://dx.doi.org/10.1051/e3sconf/202452306008.

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Buildings are constructed and operated to satisfy human needs and improve quality of life. Good indoor air quality and thermal comfort are prerequisites for human health and well-being. At the same time, these aspects are strictly linked to the buildings’ energy consumption, with a direct impact on energy efficiency global goals and climate changes. Global technical regulations and guidelines aim at increasing the energy performance of buildings, with targets of NZEB and ZEB, both for new and existing buildings. In this context the research was carried out in order to investigate energy saving

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Yi, Sophie, Chu-Hsiang Wu, and Mukul M. Sharma. "Optimization of Plug-and-Perforate Completions for Balanced Treatment Distribution and Improved Reservoir Contact." SPE Journal 25, no. 02 (2019): 558–72. http://dx.doi.org/10.2118/194360-pa.

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Summary Heel-dominated treatment distribution among multiple perforation clusters is frequently observed in plug-and-perforate (plug-and-perf) stages, causing small propped surface areas, suboptimal production, and unexpected fracture hits. A multifracture simulator with a novel wellbore-fluid and proppant-transport model is applied to quantify treatment distribution among multiple perforation clusters in a plug-and-perf operation. A simulation base case is set up on the basis of a field treatment design with four clusters. Simulation results show that the two toe-side clusters screened out ea

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