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A Survey of Scheduling Rules

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Cited by:

  1. Land, Martin & Gaalman, Gerard, 1996. "Workload control concepts in job shops A critical assessment," International Journal of Production Economics, Elsevier, vol. 46(1), pages 535-548, December.
  2. Guinet, Alain, 2000. "Efficiency of reductions of job-shop to flow-shop problems," European Journal of Operational Research, Elsevier, vol. 125(3), pages 469-485, September.
  3. Bierwirth, C. & Kuhpfahl, J., 2017. "Extended GRASP for the job shop scheduling problem with total weighted tardiness objective," European Journal of Operational Research, Elsevier, vol. 261(3), pages 835-848.
  4. Beemsterboer, Bart & Land, Martin & Teunter, Ruud & Bokhorst, Jos, 2017. "Reprint of “Integrating make-to-order and make-to-stock in job shop control”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 3-12.
  5. Guinet, Alain & Legrand, Marie, 1998. "Reduction of job-shop problems to flow-shop problems with precedence constraints," European Journal of Operational Research, Elsevier, vol. 109(1), pages 96-110, August.
  6. Ramesh Bollapragada & Norman M. Sadeh, 2004. "Proactive release procedures for just‐in‐time job shop environments, subject to machine failures," Naval Research Logistics (NRL), John Wiley & Sons, vol. 51(7), pages 1018-1044, October.
  7. Drexl, Andreas & Kolisch, Rainer, 1991. "Produktionsplanung und -steuerung bei Einzel- und Kleinserienfertigung," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 281, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  8. Kasper, T.A. Arno & Land, Martin J. & Teunter, Ruud H., 2023. "Non-hierarchical work-in-progress control in manufacturing," International Journal of Production Economics, Elsevier, vol. 257(C).
  9. Mobin, Mohammadsadegh & Li, Zhaojun & Cheraghi, S. Hossein & Wu, Gongyu, 2019. "An approach for design Verification and Validation planning and optimization for new product reliability improvement," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
  10. Branislav Micieta & Jolanta Staszewska & Matej Kovalsky & Martin Krajcovic & Vladimira Binasova & Ladislav Papanek & Ivan Antoniuk, 2021. "Innovative System for Scheduling Production Using a Combination of Parametric Simulation Models," Sustainability, MDPI, vol. 13(17), pages 1-20, August.
  11. Yannik Zeiträg & José Rui Figueira, 2023. "Automatically evolving preference-based dispatching rules for multi-objective job shop scheduling," Journal of Scheduling, Springer, vol. 26(3), pages 289-314, June.
  12. D. Gradišar & G. Mušič, 2007. "Automated Petri-net modelling based on production management data," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 13(3), pages 267-290, June.
  13. Beemsterboer, Bart & Land, Martin & Teunter, Ruud & Bokhorst, Jos, 2017. "Integrating make-to-order and make-to-stock in job shop control," International Journal of Production Economics, Elsevier, vol. 185(C), pages 1-10.
  14. Drexl, Andreas & Salewski, Frank, 1996. "Distribution Requirements and Compactness Constraints in School Timetabling. Part II: Methods," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 384, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  15. Land, Martin J. & Gaalman, Gerard J.C., 1995. "Workload control concepts in job shops: a critical assessment," Research Report 95A42, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  16. Da Col, Giacomo & Teppan, Erich C., 2022. "Industrial-size job shop scheduling with constraint programming," Operations Research Perspectives, Elsevier, vol. 9(C).
  17. El-Bouri, Ahmed & Balakrishnan, Subramaniam & Popplewell, Neil, 2008. "Cooperative dispatching for minimizing mean flowtime in a dynamic flowshop," International Journal of Production Economics, Elsevier, vol. 113(2), pages 819-833, June.
  18. Maria Raquel C. Costa & Jorge M. S. Valente & Jeffrey E. Schaller, 2020. "Efficient procedures for the weighted squared tardiness permutation flowshop scheduling problem," Flexible Services and Manufacturing Journal, Springer, vol. 32(3), pages 487-522, September.
  19. Land, Martin J. & Gaalman, Gerard J. C., 1998. "The performance of workload control concepts in job shops: Improving the release method," International Journal of Production Economics, Elsevier, vol. 56(1), pages 347-364, September.
  20. Zoghby, Jeriad & Wesley Barnes, J. & Hasenbein, John J., 2005. "Modeling the reentrant job shop scheduling problem with setups for metaheuristic searches," European Journal of Operational Research, Elsevier, vol. 167(2), pages 336-348, December.
  21. Monaci, Marta & Agasucci, Valerio & Grani, Giorgio, 2024. "An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents," European Journal of Operational Research, Elsevier, vol. 312(3), pages 910-926.
  22. Agnetis, A. & Pacifici, A. & Rossi, F. & Lucertini, M. & Nicoletti, S. & Nicolo, F. & Oriolo, G. & Pacciarelli, D. & Pesaro, E., 1997. "Scheduling of flexible flow lines in an automobile assembly plant," European Journal of Operational Research, Elsevier, vol. 97(2), pages 348-362, March.
  23. Rainer Kolisch, 1999. "Resource Allocation Capabilities of Commercial Project Management Software Packages," Interfaces, INFORMS, vol. 29(4), pages 19-31, August.
  24. M. Vimala Rani & M. Mathirajan, 2020. "Performance evaluation of due-date based dispatching rules in dynamic scheduling of diffusion furnace," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 462-512, June.
  25. Chen, Haoxun & Luh, Peter B., 2003. "An alternative framework to Lagrangian relaxation approach for job shop scheduling," European Journal of Operational Research, Elsevier, vol. 149(3), pages 499-512, September.
  26. Seifert, Ralf W. & Morito, Susumu, 2001. "Cooperative dispatching - exploiting the flexibility of an FMS by means of incremental optimization," European Journal of Operational Research, Elsevier, vol. 129(1), pages 116-133, February.
  27. P M E Shutler, 2003. "A priority list based heuristic for the job shop problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(6), pages 571-584, June.
  28. G-C Lee & Y-D Kim & J-G Kim & S-H Choi, 2003. "A dispatching rule-based approach to production scheduling in a printed circuit board manufacturing system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(10), pages 1038-1049, October.
  29. Anurag Agarwal & Varghese S. Jacob & Hasan Pirkul, 2006. "An Improved Augmented Neural-Network Approach for Scheduling Problems," INFORMS Journal on Computing, INFORMS, vol. 18(1), pages 119-128, February.
  30. Zhang, Liping & Tang, Qiuhua & Wu, Zhengjia & Wang, Fang, 2017. "Mathematical modeling and evolutionary generation of rule sets for energy-efficient flexible job shops," Energy, Elsevier, vol. 138(C), pages 210-227.
  31. P Chen & C-C Wu & W-C Lee, 2006. "A bi-criteria two-machine flowshop scheduling problem with a learning effect," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(9), pages 1113-1125, September.
  32. Bonfatti, M. & Caridi, M. & Schiavina, L., 2006. "A fuzzy model for load-oriented manufacturing control," International Journal of Production Economics, Elsevier, vol. 104(2), pages 502-513, December.
  33. Helga Ingimundardottir & Thomas Philip Runarsson, 2018. "Discovering dispatching rules from data using imitation learning: A case study for the job-shop problem," Journal of Scheduling, Springer, vol. 21(4), pages 413-428, August.
  34. Valls, Vicente & Angeles Perez, M. & Sacramento Quintanilla, M., 1998. "A tabu search approach to machine scheduling," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 277-300, April.
  35. Tzafestas, Spyros & Triantafyllakis, Alekos, 1993. "Deterministic scheduling in computing and manufacturing systems: a survey of models and algorithms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 35(5), pages 397-434.
  36. Parlakturk, Ali & Kumar, Sunil, 2004. "Self-Interested Routing in Queueing Networks," Research Papers 1782r, Stanford University, Graduate School of Business.
  37. Alejandra Duenas & Dobrila Petrovic, 2008. "An approach to predictive-reactive scheduling of parallel machines subject to disruptions," Annals of Operations Research, Springer, vol. 159(1), pages 65-82, March.
  38. Kasper, T.A. Arno & Land, Martin J. & Teunter, Ruud H., 2023. "Towards System State Dispatching in High‐Variety Manufacturing," Omega, Elsevier, vol. 114(C).
  39. Chauvet, Fabrice & Levner, Eugene & Meyzin, Leonid K. & Proth, Jean-Marie, 2000. "On-line scheduling in a surface treatment system," European Journal of Operational Research, Elsevier, vol. 120(2), pages 382-392, January.
  40. Böttcher, Jan & Drexl, Andreas & Kolisch, Rainer & Salewski, Frank, 1996. "Project scheduling under partially renewable resource constraints," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 398, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  41. Miguel S. E. Martins & Joaquim L. Viegas & Tiago Coito & Bernardo Firme & Andrea Costigliola & João Figueiredo & Susana M. Vieira & João M. C. Sousa, 2023. "Minimizing total completion time in large-sized pharmaceutical quality control scheduling," Journal of Heuristics, Springer, vol. 29(1), pages 177-206, February.
  42. Branke, Juergen & Pickardt, Christoph W., 2011. "Evolutionary search for difficult problem instances to support the design of job shop dispatching rules," European Journal of Operational Research, Elsevier, vol. 212(1), pages 22-32, July.
  43. Bertel, S. & Billaut, J. -C., 2004. "A genetic algorithm for an industrial multiprocessor flow shop scheduling problem with recirculation," European Journal of Operational Research, Elsevier, vol. 159(3), pages 651-662, December.
  44. Frank Benda & Roland Braune & Karl F. Doerner & Richard F. Hartl, 2019. "A machine learning approach for flow shop scheduling problems with alternative resources, sequence-dependent setup times, and blocking," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 871-893, December.
  45. Marco Schulze & Julia Rieck & Cinna Seifi & Jürgen Zimmermann, 2016. "Machine scheduling in underground mining: an application in the potash industry," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(2), pages 365-403, March.
  46. Blazewicz, Jacek & Domschke, Wolfgang & Pesch, Erwin, 1996. "The job shop scheduling problem: Conventional and new solution techniques," European Journal of Operational Research, Elsevier, vol. 93(1), pages 1-33, August.
  47. Beezão, Andreza Cristina & Cordeau, Jean-François & Laporte, Gilbert & Yanasse, Horacio Hideki, 2017. "Scheduling identical parallel machines with tooling constraints," European Journal of Operational Research, Elsevier, vol. 257(3), pages 834-844.
  48. F. Guerriero, 2008. "Hybrid Rollout Approaches for the Job Shop Scheduling Problem," Journal of Optimization Theory and Applications, Springer, vol. 139(2), pages 419-438, November.
  49. Schaller, Jeffrey & Valente, Jorge M.S., 2020. "Minimizing total earliness and tardiness in a nowait flow shop," International Journal of Production Economics, Elsevier, vol. 224(C).
  50. Heng Zhang & Utpal Roy, 2019. "A semantics-based dispatching rule selection approach for job shop scheduling," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2759-2779, October.
  51. Forst, Frank G., 1995. "Bicriterion stochastic scheduling on one or more machines," European Journal of Operational Research, Elsevier, vol. 80(2), pages 404-409, January.
  52. Jens Heger & Torsten Hildebrandt & Bernd Scholz-Reiter, 2015. "Dispatching rule selection with Gaussian processes," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 235-249, March.
  53. Reményi, Christoph & Staudacher, Stephan, 2014. "Systematic simulation based approach for the identification and implementation of a scheduling rule in the aircraft engine maintenance," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 94-107.
  54. Jain, A. S. & Meeran, S., 1999. "Deterministic job-shop scheduling: Past, present and future," European Journal of Operational Research, Elsevier, vol. 113(2), pages 390-434, March.
  55. Andreas Kuhnle & Jan-Philipp Kaiser & Felix Theiß & Nicole Stricker & Gisela Lanza, 2021. "Designing an adaptive production control system using reinforcement learning," Journal of Intelligent Manufacturing, Springer, vol. 32(3), pages 855-876, March.
  56. Geert De Maere & Jason A. D. Atkin & Edmund K. Burke, 2018. "Pruning Rules for Optimal Runway Sequencing," Transportation Science, INFORMS, vol. 52(4), pages 898-916, August.
  57. Stephan Kreipl & Jörg Dickersbach, 2008. "Scheduling coordination problems in supply chain planning," Annals of Operations Research, Springer, vol. 161(1), pages 103-122, July.
  58. Mati, Yazid & Dauzère-Pérès, Stèphane & Lahlou, Chams, 2011. "A general approach for optimizing regular criteria in the job-shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 212(1), pages 33-42, July.
  59. repec:dgr:rugsom:95a42 is not listed on IDEAS
  60. Kolisch, Rainer & Hempel, Kai, 1996. "Finite scheduling capabilities of commercial project management systems," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 397, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  61. Qingmiao Liao & Jianjun Yang & Yong Zhou, 2019. "Sustainable Scheduling of an Automatic Pallet Changer System by Multi-Objective Evolutionary Algorithm with First Piece Inspection," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
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