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Analysis of reactive scheduling problems in a job shop environment

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  • Sabuncuoglu, I.
  • Bayiz, M.

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  • Sabuncuoglu, I. & Bayiz, M., 2000. "Analysis of reactive scheduling problems in a job shop environment," European Journal of Operational Research, Elsevier, vol. 126(3), pages 567-586, November.
    • Handle: RePEc:eee:ejores:v:126:y:2000:i:3:p:567-586
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    1. James C. Bean & John R. Birge & John Mittenthal & Charles E. Noon, 1991. "Matchup Scheduling with Multiple Resources, Release Dates and Disruptions," Operations Research, INFORMS, vol. 39(3), pages 470-483, June.
    2. Sabuncuoglu, I. & Bayiz, M., 1999. "Job shop scheduling with beam search," European Journal of Operational Research, Elsevier, vol. 118(2), pages 390-412, October.
    3. C. A. Holloway & R. T. Nelson, 1974. "Job Shop Scheduling with Due Dates and Variable Processing Times," Management Science, INFORMS, vol. 20(9), pages 1264-1275, May.
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    Cited by:

    1. Keivan Rahimi-Adli & Egidio Leo & Benedikt Beisheim & Sebastian Engell, 2021. "Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty," Energies, MDPI, vol. 14(21), pages 1-28, November.
    2. Belinda Spratt & Erhan Kozan, 2021. "An integrated rolling horizon approach to increase operating theatre efficiency," Journal of Scheduling, Springer, vol. 24(1), pages 3-25, February.
    3. Lang, N.A. & Moonen, J.M. & Srour, F.J. & Zuidwijk, R.A., 2008. "Multi Agent Systems in Logistics: A Literature and State-of-the-art Review," ERIM Report Series Research in Management ERS-2008-043-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Cauvin, A.C.A. & Ferrarini, A.F.A. & Tranvouez, E.T.E., 2009. "Disruption management in distributed enterprises: A multi-agent modelling and simulation of cooperative recovery behaviours," International Journal of Production Economics, Elsevier, vol. 122(1), pages 429-439, November.
    5. Jiewu Leng & Pingyu Jiang, 2019. "Dynamic scheduling in RFID-driven discrete manufacturing system by using multi-layer network metrics as heuristic information," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 979-994, March.
    6. Petroni, Alberto & Rizzi, Antonio, 2002. "A fuzzy logic based methodology to rank shop floor dispatching rules," International Journal of Production Economics, Elsevier, vol. 76(1), pages 99-108, March.
    7. Ferreira, Cristiane & Figueira, Gonçalo & Amorim, Pedro, 2022. "Effective and interpretable dispatching rules for dynamic job shops via guided empirical learning," Omega, Elsevier, vol. 111(C).
    8. Yi, Xiajie & Goossens, Dries & Nobibon, Fabrice Talla, 2020. "Proactive and reactive strategies for football league timetabling," European Journal of Operational Research, Elsevier, vol. 282(2), pages 772-785.
    9. Sabuncuoglu, Ihsan & Gocgun, Yasin & Erel, Erdal, 2008. "Backtracking and exchange of information: Methods to enhance a beam search algorithm for assembly line scheduling," European Journal of Operational Research, Elsevier, vol. 186(3), pages 915-930, May.
    10. Jain, S. & Foley, W.J., 2016. "Dispatching strategies for managing uncertainties in automated manufacturing systems," European Journal of Operational Research, Elsevier, vol. 248(1), pages 328-341.
    11. Carlo Meloni & Marco Pranzo, 2020. "Expected shortfall for the makespan in activity networks under imperfect information," Flexible Services and Manufacturing Journal, Springer, vol. 32(3), pages 668-692, September.
    12. Chuang Wang & Pingyu Jiang, 2018. "Manifold learning based rescheduling decision mechanism for recessive disturbances in RFID-driven job shops," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1485-1500, October.
    13. Bruccoleri, Manfredi & Pasek, Zbigniew J. & Koren, Yoram, 2006. "Operation management in reconfigurable manufacturing systems: Reconfiguration for error handling," International Journal of Production Economics, Elsevier, vol. 100(1), pages 87-100, March.
    14. Bing Wang & Xingbao Han & Xianxia Zhang & Shaohua Zhang, 2015. "Predictive-reactive scheduling for single surgical suite subject to random emergency surgery," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 949-966, November.
    15. Aytug, Haldun & Lawley, Mark A. & McKay, Kenneth & Mohan, Shantha & Uzsoy, Reha, 2005. "Executing production schedules in the face of uncertainties: A review and some future directions," European Journal of Operational Research, Elsevier, vol. 161(1), pages 86-110, February.
    16. Novak, Antonin & Sucha, Premysl & Novotny, Matej & Stec, Richard & Hanzalek, Zdenek, 2022. "Scheduling jobs with normally distributed processing times on parallel machines," European Journal of Operational Research, Elsevier, vol. 297(2), pages 422-441.
    17. Herroelen, Willy & Leus, Roel, 2005. "Project scheduling under uncertainty: Survey and research potentials," European Journal of Operational Research, Elsevier, vol. 165(2), pages 289-306, September.
    18. Adil Baykasoğlu & Fatma S. Karaslan, 2017. "Solving comprehensive dynamic job shop scheduling problem by using a GRASP-based approach," International Journal of Production Research, Taylor & Francis Journals, vol. 55(11), pages 3308-3325, June.

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