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Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge

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  • Dubois, Didier
  • Fargier, Helene
  • Fortemps, Philippe

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  • Dubois, Didier & Fargier, Helene & Fortemps, Philippe, 2003. "Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge," European Journal of Operational Research, Elsevier, vol. 147(2), pages 231-252, June.
    • Handle: RePEc:eee:ejores:v:147:y:2003:i:2:p:231-252
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    5. Ishibuchi, Hisao & Yamamoto, Naohisa & Misaki, Shinta & Tanaka, Hideo, 1994. "Local search algorithms for flow shop scheduling with fuzzy due-dates," International Journal of Production Economics, Elsevier, vol. 33(1-3), pages 53-66, January.
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    8. Litoiu, Marin & Tadei, Roberto, 1997. "Real time task scheduling allowing fuzzy due dates," European Journal of Operational Research, Elsevier, vol. 100(3), pages 475-481, August.
    9. ,, 1999. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 15(4), pages 629-637, August.
    10. Stanfield, Paul M. & King, Russell E. & Joines, Jeff A., 1996. "Scheduling arrivals to a production system in a fuzzy environment," European Journal of Operational Research, Elsevier, vol. 93(1), pages 75-87, August.
    11. McCahon, Cynthia S. & Lee, E. Stanley, 1992. "Fuzzy job sequencing for a flow shop," European Journal of Operational Research, Elsevier, vol. 62(3), pages 294-301, November.
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    Cited by:

    1. Ghanbarzadeh-Shams, M. & Ghasemy Yaghin, R. & Sadeghi, A.H., 2022. "A hybrid fuzzy multi-objective model for carpet production planning with reverse logistics under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    2. Guillaume, Romain & Houé, Raymond & Grabot, Bernard, 2014. "Robust competence assessment for job assignment," European Journal of Operational Research, Elsevier, vol. 238(2), pages 630-644.
    3. Peidro, David & Mula, Josefa & Jiménez, Mariano & del Mar Botella, Ma, 2010. "A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment," European Journal of Operational Research, Elsevier, vol. 205(1), pages 65-80, August.
    4. Kasperski, Adam & Zielinski, Pawel, 2010. "Minmax regret approach and optimality evaluation in combinatorial optimization problems with interval and fuzzy weights," European Journal of Operational Research, Elsevier, vol. 200(3), pages 680-687, February.
    5. Bocewicz Grzegorz & Banaszak Zbigniew, 2009. "Abductive Reasoning Driven Approach to Project - Like Production Flow Prototyping," Foundations of Management, Sciendo, vol. 1(1), pages 43-62, January.
    6. Dubois, Didier & Fargier, Helene & Galvagnon, Vincent, 2003. "On latest starting times and floats in activity networks with ill-known durations," European Journal of Operational Research, Elsevier, vol. 147(2), pages 266-280, June.
    7. He-Yau Kang & Amy H. I. Lee & Tzu-Ting Huang, 2016. "Project Management for a Wind Turbine Construction by Applying Fuzzy Multiple Objective Linear Programming Models," Energies, MDPI, vol. 9(12), pages 1-15, December.
    8. Kasperski, Adam & Zielinski, Pawel, 2007. "On combinatorial optimization problems on matroids with uncertain weights," European Journal of Operational Research, Elsevier, vol. 177(2), pages 851-864, March.
    9. Lee, Sangbok & Yih, Yuehwern, 2014. "Reducing patient-flow delays in surgical suites through determining start-times of surgical cases," European Journal of Operational Research, Elsevier, vol. 238(2), pages 620-629.
    10. Marc Asunción & Luis Castillo & Juan Fernández-Olivares & Oscar García-Pérez & Antonio González & Francisco Palao, 2007. "Handling fuzzy temporal constraints in a planning environment," Annals of Operations Research, Springer, vol. 155(1), pages 391-415, November.
    11. Seddik, Yasmina & Hanzálek, Zdenek, 2017. "Match-up scheduling of mixed-criticality jobs: Maximizing the probability of jobs execution," European Journal of Operational Research, Elsevier, vol. 262(1), pages 46-59.
    12. Igor KREJČÍ & Milan HOUŠKA, 2014. "Discussion with the paper 'Project costs planning in the conditions of uncertainty' by H. Štiková," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(11), pages 517-523.
    13. Tsao, Yu-Chung & Thanh, Vo-Van, 2019. "A multi-objective mixed robust possibilistic flexible programming approach for sustainable seaport-dry port network design under an uncertain environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 13-39.
    14. Yakhchali, Siamak Haji & Ghodsypour, Seyed Hassan, 2010. "Computing latest starting times of activities in interval-valued networks with minimal time lags," European Journal of Operational Research, Elsevier, vol. 200(3), pages 874-880, February.
    15. Black, Gary W. & McKay, Kenneth N. & Morton, Thomas E., 2006. "Aversion scheduling in the presence of risky jobs," European Journal of Operational Research, Elsevier, vol. 175(1), pages 338-361, November.
    16. Alireza Goli & Ali Ala & Seyedali Mirjalili, 2023. "A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty," Annals of Operations Research, Springer, vol. 328(1), pages 493-530, September.
    17. Wang, Juite & Shu, Yun-Feng, 2007. "A possibilistic decision model for new product supply chain design," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1044-1061, March.
    18. Mok, P.Y. & Kwong, C.K. & Wong, W.K., 2007. "Optimisation of fault-tolerant fabric-cutting schedules using genetic algorithms and fuzzy set theory," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1876-1893, March.
    19. Tsao, Yu-Chung & Thanh, Vo-Van, 2021. "Toward sustainable microgrids with blockchain technology-based peer-to-peer energy trading mechanism: A fuzzy meta-heuristic approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    20. Omid Jadidi & Fatemeh Firouzi & John S. Loucks & Yong Shin Park, 2022. "Multi-criteria supplier selection problem with fuzzy demand: a newsvendor model," Computational Management Science, Springer, vol. 19(3), pages 375-394, July.
    21. Mahsa Pouraliakbari-Mamaghani & Ali Ghodratnama & Seyed Hamid Reza Pasandideh & Ahmed Saif, 2022. "A robust possibilistic programming approach for blood supply chain network design in disaster relief considering congestion," Operational Research, Springer, vol. 22(3), pages 1987-2032, July.
    22. Bjork, Kaj-Mikael & Carlsson, Christer, 2007. "The effect of flexible lead times on a paper producer," International Journal of Production Economics, Elsevier, vol. 107(1), pages 139-150, May.
    23. Bhaskar, Tarun & Pal, Manabendra N. & Pal, Asim K., 2011. "A heuristic method for RCPSP with fuzzy activity times," European Journal of Operational Research, Elsevier, vol. 208(1), pages 57-66, January.
    24. Yongbo Li & Devika Kannan & P. C. Jha & Kiran Garg & Jyoti Darbari & Neha Agarwal, 2023. "Design of a multi echelon product recovery embeded reverse logistics network for multi products and multi periods," Annals of Operations Research, Springer, vol. 323(1), pages 131-152, April.
    25. Relich Marcin, 2012. "An evaluation of project completion with application of fuzzy set theory," Management, Sciendo, vol. 16(1), pages 216-229, May.

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