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Handbook on Scheduling

Author

Listed:
  • Jacek Blazewicz

    (Institute of Computing Science, Poznan University of Technology, Poznan, Poland; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland; European Centre for Bioinformatics and Genomics)

  • Klaus H. Ecker

    (Clausthal University of Technology)

  • Erwin Pesch

    (Center for Advanced Studies in Management)

  • Günter Schmidt

    (Saarland University, Saarbrücken, Germany; University of Cape Town)

  • Malgorzata Sterna

    (Poznan University of Technology)

  • Jan Weglarz

    (Institute of Computing Science, Poznan University of Technology, Poznan, Poland; Poznan Supercomputing and Networking Center)

Abstract

No abstract is available for this item.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Jacek Blazewicz & Klaus H. Ecker & Erwin Pesch & Günter Schmidt & Malgorzata Sterna & Jan Weglarz, 2019. "Handbook on Scheduling," International Handbooks on Information Systems, Springer, edition 2, number 978-3-319-99849-7, November.
    • Handle: RePEc:spr:ihinfo:978-3-319-99849-7
    DOI: 10.1007/978-3-319-99849-7
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    Citations

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    Cited by:

    1. Olivier Ploton & Vincent T’kindt, 2022. "Exponential-time algorithms for parallel machine scheduling problems," Journal of Combinatorial Optimization, Springer, vol. 44(5), pages 3405-3418, December.
    2. Joanna Józefowska & Mariusz Nowak & Rafał Różycki & Grzegorz Waligóra, 2022. "Survey on Optimization Models for Energy-Efficient Computing Systems," Energies, MDPI, vol. 15(22), pages 1-20, November.
    3. Adel Kacem & Abdelaziz Dammak, 2021. "Multi-objective scheduling on two dedicated processors," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(3), pages 694-721, October.
    4. Hasani, Ali & Hosseini, Seyed Mohammad Hassan, 2020. "A bi-objective flexible flow shop scheduling problem with machine-dependent processing stages: Trade-off between production costs and energy consumption," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    5. Helmut A. Sedding, 2020. "Scheduling jobs with a V-shaped time-dependent processing time," Journal of Scheduling, Springer, vol. 23(6), pages 751-768, December.
    6. Hosseini, Amir & Otto, Alena & Pesch, Erwin, 2024. "Scheduling in manufacturing with transportation: Classification and solution techniques," European Journal of Operational Research, Elsevier, vol. 315(3), pages 821-843.
    7. Justkowiak, Jan-Erik & Kovalev, Sergey & Kovalyov, Mikhail Y. & Pesch, Erwin, 2023. "Single machine scheduling with assignable due dates to minimize maximum and total late work," European Journal of Operational Research, Elsevier, vol. 308(1), pages 76-83.
    8. Sterna, Małgorzata, 2021. "Late and early work scheduling: A survey," Omega, Elsevier, vol. 104(C).
    9. Shabtay, Dvir & Mosheiov, Gur & Oron, Daniel, 2022. "Single machine scheduling with common assignable due date/due window to minimize total weighted early and late work," European Journal of Operational Research, Elsevier, vol. 303(1), pages 66-77.
    10. Eduardo Queiroga & Rian G. S. Pinheiro & Quentin Christ & Anand Subramanian & Artur A. Pessoa, 2021. "Iterated local search for single machine total weighted tardiness batch scheduling," Journal of Heuristics, Springer, vol. 27(3), pages 353-438, June.
    11. Andrea Maria Zanchettin, 2022. "Robust scheduling and dispatching rules for high-mix collaborative manufacturing systems," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 293-316, June.
    12. Stanisław Gawiejnowicz, 2020. "A review of four decades of time-dependent scheduling: main results, new topics, and open problems," Journal of Scheduling, Springer, vol. 23(1), pages 3-47, February.
    13. Wang, Kai & Pesch, Erwin & Kress, Dominik & Fridman, Ilia & Boysen, Nils, 2022. "The Piggyback Transportation Problem: Transporting drones launched from a flying warehouse," European Journal of Operational Research, Elsevier, vol. 296(2), pages 504-519.
    14. Pablo Alvarez-Campana & Felix Villafanez & Fernando Acebes & David Poza, 2024. "Simulation-based approach for Multiproject Scheduling based on composite priority rules," Papers 2406.02102, arXiv.org.
    15. Müller, David & Müller, Marcus G. & Kress, Dominik & Pesch, Erwin, 2022. "An algorithm selection approach for the flexible job shop scheduling problem: Choosing constraint programming solvers through machine learning," European Journal of Operational Research, Elsevier, vol. 302(3), pages 874-891.
    16. Briskorn, Dirk & Waldherr, Stefan, 2022. "Anarchy in the UJ: Coordination mechanisms for minimizing the number of late jobs," European Journal of Operational Research, Elsevier, vol. 301(3), pages 815-827.
    17. Dvir Shabtay, 2023. "A new perspective on single-machine scheduling problems with late work related criteria," Annals of Operations Research, Springer, vol. 322(2), pages 947-966, March.
    18. Hellsten, Erik Orm & Sacramento, David & Pisinger, David, 2020. "An adaptive large neighbourhood search heuristic for routing and scheduling feeder vessels in multi-terminal ports," European Journal of Operational Research, Elsevier, vol. 287(2), pages 682-698.

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