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Relevant bibliographies by topics / Scheduling

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Academic literature on the topic 'Scheduling'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Scheduling"

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Fithri, Prima, and Fitri Ramawinta. "Penjadwalan Mesin dengan Menggunakan Algoritma Pembangkitan Jadwal Aktif dan Algoritma Penjadwalan Non-Delay untuk Produk Hydrotiller dan Hammermil pada CV. Cherry Sarana Agro." Jurnal Optimasi Sistem Industri 12, no. 2 (2016): 377. http://dx.doi.org/10.25077/josi.v12.n2.p377-399.2013.

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Fulfillment of all demands of consumers who come to the product is one thing that always wanted to be achieved by a company. These requests are not independent of the company's ability to manufacture certain products. CV Cherry Sarana Agro manufactures a wide range of agricultural equipment, one of which is the product hydrotiller and hammermil. Demand for both products are always in large numbers for each period, however, the company could not meet the entire demand. One of the main factors that led this small company's production capacity for these two products is not optimal scheduling of m

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Wang, Kui, Bu Han Zhang, Jia Jun Zhai, Wen Shao, Xiao Shan Wu, and Cheng Xiong Mao. "Coordination between Short-Term and Real-Time Scheduling Incorporating Wind Power." Advanced Materials Research 512-515 (May 2012): 700–703. http://dx.doi.org/10.4028/www.scientific.net/amr.512-515.700.

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Coordination strategies between short-term (e.g., weekly and daily scheduling ) and real-time scheduling in wind power integrated system are disscussed. To cope with the uncertainty of wind power and load demands, weekly and daily rolling schedulings are applied. According to the latest updated prediction results of wind power and load demands, weekly rolling scheduling is applied to revise unit commitment and fuel allocation in remaining hours in a week. Daily rolling scheduling is applied to revise generation scheduling in remaining time in a day. A modified IEEE 118-bus system is applied to

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Jin, Wangkai, and Xiangjun Peng. "SLITS: Sparsity-Lightened Intelligent Thread Scheduling." ACM SIGMETRICS Performance Evaluation Review 51, no. 1 (2023): 21–22. http://dx.doi.org/10.1145/3606376.3593568.

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To make the most of hardware resources in multi-core architectures, effective thread scheduling is crucial. To achieve this, various scheduling objectives have been developed, such as reducing hardware resource contention [1, 11], allocating resources evenly for co-running threads [ 5, 6], and following priority-based policies [7]. Current thread scheduling designs can be categorized into two types. The first type involves fixed-rule scheduling1, which does not depend on workload characteristics and cannot meet the needs of different scheduling objectives. The second type takes the scheduling

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Kromodihardjo, Sudiyono, and Ergo Swasono Kromodihardjo. "Modeling of Well Service and Workover to Optimize Scheduling of Oil Well Maintenance." Applied Mechanics and Materials 836 (June 2016): 311–16. http://dx.doi.org/10.4028/www.scientific.net/amm.836.311.

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Well maintenance (well service and workover) is an operation needed by oil company to guarantee the optimum productionof its oil well.Well maintenance is performed using large equipment called hydraulic workover unit (HWU-Rig) which is available in limited number. Scheduling sequence of the HWU-Rig to do well service must meet the goal of the maintenance that is to minimize the loss of oil well production due to well breakdown. Thus minimizing breakdown time of well with high rate production is a priority. However, scheduling secuence of the HWU-Rig to perform its task for few days ahead becom

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Thenata, Angelina Pramana, and Andhika Galuh Prabawati. "EVALUATION INFORMATION TECHNOLOGY UTILIZATION OF SCHOOL SUBJECT SCHEDULING USING PIECES FRAMEWORK." Jurnal Terapan Teknologi Informasi 2, no. 1 (2018): 53–63. http://dx.doi.org/10.21460/jutei.2018.21.97.

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Abstract— Information technology has been widely used by several aspects, such as in the scope of business, industry, government, education, and service. The use of information technology in various aspects of spatial planning can help in its business process. One of the use of information technology in the field of education is e-learning, scheduling, financial information systems, and others. SMK N 1 Kaliwungu is one of the schools that already utilize information technology, such as Program Scheduling Subject Schedule. The program helps scheduling in its implementation need to be evaluated

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Antonova, Anna, Konstantin Aksyonov, and Olga Aksyonova. "An Imitation and Heuristic Method for Scheduling with Subcontracted Resources." Mathematics 9, no. 17 (2021): 2098. http://dx.doi.org/10.3390/math9172098.

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A scheduling problem with subcontracted resources is widely spread and is associated with the distribution of limited renewable and non-renewable resources, both own and subcontracted ones based on the work’s due dates and the earliest start time. Scheduling’s goal is to reduce the cost of the subcontracted resources. In the paper, application of a few scheduling methods based on scheduling theory and the optimization algorithm is considered; limitations of these methods’ application are highlighted. It is shown that the use of simulation modeling with heuristic rules for allocation of the ren

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hia, M. Sop. "Review on Scheduling-Job Scheduling." International Journal of Engineering Trends and Technology 60, no. 1 (2018): 42–44. http://dx.doi.org/10.14445/22315381/ijett-v60p205.

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Wang, Huijun, and Oliver Sinnen. "List-Scheduling versus Cluster-Scheduling." IEEE Transactions on Parallel and Distributed Systems 29, no. 8 (2018): 1736–49. http://dx.doi.org/10.1109/tpds.2018.2808959.

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Belmabrouk, Mounira, and Mounir Marrakchi. "Design, analysis and performance evaluation of parallel algorithms for solving triangular linear systems on multicore platforms." RAIRO - Operations Research 55, no. 2 (2021): 545–59. http://dx.doi.org/10.1051/ro/2021009.

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In this paper, we focus on the schedulings of 2-steps graph with constant task cost obtained when parallelizing algorithm solving a triangular linear system. We present three scheduling approaches having the same least theoretical execution time. The first is designed through solving a 0-1 integer problem by Mixed Integer Programming (MIP), the second is based on the Critical Path Algorithm (CPA) and the third is a particular Column-Oriented Scheduling (COS). The MIP approach experiments were carried out and confirmed that the makespan values of the MIP scheduling coincide with those of the co

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Larco, J. A., J. C. Fransoo, and V. C. S. Wiers. "Scheduling the scheduling task: a time-management perspective on scheduling." Cognition, Technology & Work 20, no. 1 (2017): 1–10. http://dx.doi.org/10.1007/s10111-017-0443-1.

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Dissertations / Theses on the topic "Scheduling"

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Paulus, J. J. "Online scheduling & project scheduling." Enschede : University of Twente [Host], 2009. http://doc.utwente.nl/60453.

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Abd, Rahmin Nor Aliza Binti. "Online scheduling in hospital theatre scheduling." Thesis, University of Southampton, 2018. https://eprints.soton.ac.uk/427362/.

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Increasing population across all age groups has contributed to the increasing demand for health care especially those that require surgeries, thus putting more pressure on hospitals. The inability to provide adequate and efficient treatment as a result of resource constraints causes patients to wait longer for treatment. Waiting for treatment due to unavailability of an operating theatre can result in both deteriorating health and inconvenience. It is even more frustrating when the scheduled operation is cancelled because some slots is used for emergency patients or the scheduled operations ar

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Gould, Rebecca (Rebecca L. ). "Program scheduling : decreasing flow by back-scheduling." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104396.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT.<br>Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2016. In conjunction with the Leaders for Global Operations Program at MIT.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 74).<br>The Boeing 737 program has announced that they will continue to increase their production rate from 42 airplanes per month to e

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Lazarević, Aleksandar. "Autonomous grid scheduling using probabilistic job runtime scheduling." Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/7987/.

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Computational Grids are evolving into a global, service-oriented architecture – a universal platform for delivering future computational services to a range of applications of varying complexity and resource requirements. The thesis focuses on developing a new scheduling model for general-purpose, utility clusters based on the concept of user requested job completion deadlines. In such a system, a user would be able to request each job to finish by a certain deadline, and possibly to a certain monetary cost. Implementing deadline scheduling is dependent on the ability to predict the execution

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Magalhaes, Marcus Vinicius De Oliveira. "Refinery scheduling." Thesis, Imperial College London, 2004. http://hdl.handle.net/10044/1/8420.

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Hoffman, Torrey Luke. "Cache scheduling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ34489.pdf.

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Raman, Rajiv. "Chromatic scheduling." Diss., University of Iowa, 2007. http://ir.uiowa.edu/etd/156.

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Huang, Chueng-Chiu S. "Stochastic scheduling." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/24834.

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Thorpe, J. C. "Vehicle scheduling." Thesis, University of Manchester, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488397.

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Das, Abhishek. "Stream scheduling /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Books on the topic "Scheduling"

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Pinedo, Michael L. Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26580-3.

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Pinedo, Michael L. Scheduling. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2361-4.

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Pinedo, Michael L. Scheduling. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05921-6.

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Brucker, Peter. Scheduling Algorithms. Springer Berlin Heidelberg, 2001.

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Brucker, Peter. Scheduling Algorithms. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03088-2.

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Lopez, Pierre, and Franois Roubellat, eds. Production Scheduling. ISTE, 2008. http://dx.doi.org/10.1002/9780470611050.

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Brucker, Peter. Scheduling Algorithms. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24804-0.

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Brucker, Peter, and Sigrid Knust. Complex Scheduling. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23929-8.

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Węglarz, Jan, ed. Project Scheduling. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5533-9.

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Dahal, Keshav P., Kay Chen Tan, and Peter I. Cowling, eds. Evolutionary Scheduling. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-48584-1.

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Book chapters on the topic "Scheduling"

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Pinedo, Michael L. "Introduction." In Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26580-3_1.

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Pinedo, Michael L. "Single Machine Models (Stochastic)." In Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26580-3_10.

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Pinedo, Michael L. "Single Machine Models with Release Dates (Stochastic)." In Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26580-3_11.

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Pinedo, Michael L. "Parallel Machine Models (Stochastic)." In Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26580-3_12.

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Pinedo, Michael L. "Flow Shops, Job Shops and Open Shops (Stochastic)." In Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26580-3_13.

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Pinedo, Michael L. "General Purpose Procedures for Deterministic Scheduling." In Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26580-3_14.

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Pinedo, Michael L. "More Advanced General Purpose Procedures." In Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26580-3_15.

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Pinedo, Michael L. "Modeling and Solving Scheduling Problems in Practice." In Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26580-3_16.

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Pinedo, Michael L. "Design and Implementation of Scheduling Systems: Basic Concepts." In Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26580-3_17.

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Pinedo, Michael L. "Design and Implementation of Scheduling Systems: More Advanced Concepts." In Scheduling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26580-3_18.

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Conference papers on the topic "Scheduling"

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Tate, Daniel, Gordon Steven, and Paul Findlay. "Investigating the Relative Performance of Static and Dynamic Instruction Scheduling." In International Symposium on Computer Architecture and High Performance Computing. Sociedade Brasileira de Computação, 1999. http://dx.doi.org/10.5753/sbac-pad.1999.19788.

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There are two distinct groups of research into ILP. Those that strongly favour static instruction scheduling and those that favour dynamic instruction scheduling. This paper introduces powerful static and dynamic scheduling models and combines them within the framework of a single simulation environment. Both individual models achieve respectable speedups; dynamic schedullng significantly out-performs static scheduling when an idealised processor model with perfect branch prediction is used. However, when a realistic branch predictor is substituted, the roles are reversed, and static schedulin

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Stougie, Leen. "Scheduling over scenarios." In International Workshop on Dynamic Scheduling Problems. Polish Mathematical Society, 2023. http://dx.doi.org/10.14708/isbn.978-83-962157-1-0p21-22.

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Uetz, Marc. "Approximation algorithms for scheduling under uncertainty." In Workshop on dynamic scheduling problems. Polish Mathematical Society, 2016. http://dx.doi.org/10.14708/isbn.978-83-937220-7-5p25-28.

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Uetz, Marc. "Approximation algorithms for scheduling under uncertainty." In Workshop on dynamic scheduling problems. Polish Mathematical Society, 2016. http://dx.doi.org/10.14708/isbn.978-83-937220-7-5p25-30.

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Lin, Bertrand M.-T. "Relocation scheduling with optional recycling operations." In Workshop on dynamic scheduling problems. Polish Mathematical Society, 2016. http://dx.doi.org/10.14708/isbn.978-83-937220-7-5p55-58.

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Berlińska, Joanna. "The first international workshop on dynamic scheduling problems." In Workshop on dynamic scheduling problems. Polish Mathematical Society, 2016. http://dx.doi.org/10.14708/isbn.978-83-937220-7-5p31-34.

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Kovalyov, Mikhail Y., Xavier Delorme, and Alexandre Dolgui. "Workforce planning for cyclic production of multiple parts." In Workshop on dynamic scheduling problems. Polish Mathematical Society, 2016. http://dx.doi.org/10.14708/isbn.978-83-937220-7-5p47-50.

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Gawiejnowicz, Stanisław, and Wiesław Kurc. "Solving a time-dependent scheduling problem by interior point method." In Workshop on dynamic scheduling problems. Polish Mathematical Society, 2016. http://dx.doi.org/10.14708/isbn.978-83-937220-7-5p35-38.

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Gerstl, Enrique, Baruch Mor, and Gur Mosheiov. "Minmax scheduling with acceptable lead-times: Extensions to position-dependent processing times, due-window and job rejection." In Workshop on dynamic scheduling problems. Polish Mathematical Society, 2016. http://dx.doi.org/10.14708/isbn.978-83-937220-7-5p39-41.

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Kononov, Alexander, and Yulia Kovalenko. "An 'almost-exact' solution to speed scaling scheduling of parallel jobs with preemption." In Workshop on dynamic scheduling problems. Polish Mathematical Society, 2016. http://dx.doi.org/10.14708/isbn.978-83-937220-7-5p43-46.

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Reports on the topic "Scheduling"

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Mattson, Peter, William J. Dally, Scott Rixner, Ujval J. Kapasi, and John D. Owens. Communication Scheduling. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada419623.

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Kapasi, Ujval J., Peter Mattson, William J. Dally, John D. Owens, and Brian Towles. Stream Scheduling. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada419624.

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Castanon, David A., David A. Logan, Dimitri P. Bertsekas, and Stephen D. Patek. Planning and Scheduling: Dynamic Assignment and Scheduling with Contingencies. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada342494.

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Smith, Stephen F., Marcel A. Becker, Mark A. Derthick, and Laurence A. Kramer. Scheduling and Visualization. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada424933.

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Curry, Michael, and David A. Castanon. New World Vistas: Planning and Scheduling Planning and Scheduling With Contingencies. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada388207.

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Miller, James C. Scheduling Aircrews 3: Deployment. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada498519.

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Daboo, C., and B. Desruisseaux. Scheduling Extensions to CalDAV. RFC Editor, 2012. http://dx.doi.org/10.17487/rfc6638.

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Boman, Erik G. LDRD Report: Scheduling Irregular Algorithms. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1172906.

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Nain, Philippe, Pantelis Tsoucas, and Jean Walrand. Interchange Arguments in Stochastic Scheduling. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada454729.

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Bhattacharya, Partha P., and Anthony Ephremides. Optimal Scheduling with Strict Deadlines. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada454731.

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