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Metaheuristic algorithms for the multistage hybrid flowshop scheduling problem

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  • Jin, Zhihong
  • Yang, Zan
  • Ito, Takahiro

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  • Jin, Zhihong & Yang, Zan & Ito, Takahiro, 2006. "Metaheuristic algorithms for the multistage hybrid flowshop scheduling problem," International Journal of Production Economics, Elsevier, vol. 100(2), pages 322-334, April.
    • Handle: RePEc:eee:proeco:v:100:y:2006:i:2:p:322-334
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    References listed on IDEAS

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    1. Kurz, Mary E. & Askin, Ronald G., 2003. "Comparing scheduling rules for flexible flow lines," International Journal of Production Economics, Elsevier, vol. 85(3), pages 371-388, September.
    2. J.N.D. Gupta & A.M.A. Hariri & C.N. Potts, 1997. "Scheduling a two-stage hybrid flow shop with parallel machines at the first stage," Annals of Operations Research, Springer, vol. 69(0), pages 171-191, January.
    3. Rajendran, Chandrasekharan & Chaudhuri, Dipak, 1992. "Scheduling in n-job, m-stage flowshop with parallel processors to minimize makespan," International Journal of Production Economics, Elsevier, vol. 27(2), pages 137-143, May.
    4. Santos, D. L. & Hunsucker, J. L. & Deal, D. E., 1995. "Global lower bounds for flow shops with multiple processors," European Journal of Operational Research, Elsevier, vol. 80(1), pages 112-120, January.
    5. Brah, Shaukat A. & Loo, Luan Luan, 1999. "Heuristics for scheduling in a flow shop with multiple processors," European Journal of Operational Research, Elsevier, vol. 113(1), pages 113-122, February.
    6. Lin, Hung-Tso & Liao, Ching-Jong, 2003. "A case study in a two-stage hybrid flow shop with setup time and dedicated machines," International Journal of Production Economics, Elsevier, vol. 86(2), pages 133-143, November.
    7. L. Ingber, 1989. "Very fast simulated re-annealing," Lester Ingber Papers 89vf, Lester Ingber.
    8. Brah, Shaukat A. & Hunsucker, John L., 1991. "Branch and bound algorithm for the flow shop with multiple processors," European Journal of Operational Research, Elsevier, vol. 51(1), pages 88-99, March.
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    Cited by:

    1. Zhen Song & Håkan Schunnesson & Mikael Rinne & John Sturgul, 2015. "Intelligent Scheduling for Underground Mobile Mining Equipment," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-21, June.
    2. Chen, Yin-Yann & Cheng, Chen-Yang & Wang, Li-Chih & Chen, Tzu-Li, 2013. "A hybrid approach based on the variable neighborhood search and particle swarm optimization for parallel machine scheduling problems—A case study for solar cell industry," International Journal of Production Economics, Elsevier, vol. 141(1), pages 66-78.
    3. Pan, Quan-Ke & Wang, Ling & Li, Jun-Qing & Duan, Jun-Hua, 2014. "A novel discrete artificial bee colony algorithm for the hybrid flowshop scheduling problem with makespan minimisation," Omega, Elsevier, vol. 45(C), pages 42-56.
    4. Haouari, Mohamed & Hidri, Lotfi, 2008. "On the hybrid flowshop scheduling problem," International Journal of Production Economics, Elsevier, vol. 113(1), pages 495-497, May.
    5. Carlos Paternina-Arboleda & Jairo Montoya-Torres & Milton Acero-Dominguez & Maria Herrera-Hernandez, 2008. "Scheduling jobs on a k-stage flexible flow-shop," Annals of Operations Research, Springer, vol. 164(1), pages 29-40, November.
    6. Ruiz, Rubén & Vázquez-Rodríguez, José Antonio, 2010. "The hybrid flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 205(1), pages 1-18, August.
    7. Yong Wang & Yuting Wang & Yuyan Han, 2023. "A Variant Iterated Greedy Algorithm Integrating Multiple Decoding Rules for Hybrid Blocking Flow Shop Scheduling Problem," Mathematics, MDPI, vol. 11(11), pages 1-25, May.
    8. Shi, Chuan & Gershwin, Stanley B., 2009. "An efficient buffer design algorithm for production line profit maximization," International Journal of Production Economics, Elsevier, vol. 122(2), pages 725-740, December.
    9. Chou, Fuh-Der, 2013. "Particle swarm optimization with cocktail decoding method for hybrid flow shop scheduling problems with multiprocessor tasks," International Journal of Production Economics, Elsevier, vol. 141(1), pages 137-145.

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