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Solving multi-objective production scheduling problems using metaheuristics

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  • Loukil, T.
  • Teghem, J.
  • Tuyttens, D.

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  • Loukil, T. & Teghem, J. & Tuyttens, D., 2005. "Solving multi-objective production scheduling problems using metaheuristics," European Journal of Operational Research, Elsevier, vol. 161(1), pages 42-61, February.
    • Handle: RePEc:eee:ejores:v:161:y:2005:i:1:p:42-61
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    1. Rosser T. Nelson & Rakesh K. Sarin & Richard L. Daniels, 1986. "Scheduling with Multiple Performance Measures: The One-Machine Case," Management Science, INFORMS, vol. 32(4), pages 464-479, April.
    2. Rajendran, Chandrasekharan, 1995. "Heuristics for scheduling in flowshop with multiple objectives," European Journal of Operational Research, Elsevier, vol. 82(3), pages 540-555, May.
    3. Neppalli, Venkata Ranga & Chen, Chuen-Lung & Gupta, Jatinder N. D., 1996. "Genetic algorithms for the two-stage bicriteria flowshop problem," European Journal of Operational Research, Elsevier, vol. 95(2), pages 356-373, December.
    4. Van Wassenhove, Luc N. & Gelders, Ludo F., 1980. "Solving a bicriterion scheduling problem," European Journal of Operational Research, Elsevier, vol. 4(1), pages 42-48, January.
    5. Chen, Chuen-Lung & Bulfin, Robert L., 1993. "Complexity of single machine, multi-criteria scheduling problems," European Journal of Operational Research, Elsevier, vol. 70(1), pages 115-125, October.
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    Cited by:

    1. Ciavotta, Michele & Minella, Gerardo & Ruiz, Rubén, 2013. "Multi-objective sequence dependent setup times permutation flowshop: A new algorithm and a comprehensive study," European Journal of Operational Research, Elsevier, vol. 227(2), pages 301-313.
    2. Geiger, Martin Josef, 2007. "On operators and search space topology in multi-objective flow shop scheduling," European Journal of Operational Research, Elsevier, vol. 181(1), pages 195-206, August.
    3. Balasubramanian, Hari & Fowler, John & Keha, Ahmet & Pfund, Michele, 2009. "Scheduling interfering job sets on parallel machines," European Journal of Operational Research, Elsevier, vol. 199(1), pages 55-67, November.
    4. Grzesiak Stefan, 2017. "Optimal Distribution of Production Tasks in a Concern," Folia Oeconomica Stetinensia, Sciendo, vol. 17(1), pages 151-158, June.
    5. Luo, Hao & Du, Bing & Huang, George Q. & Chen, Huaping & Li, Xiaolin, 2013. "Hybrid flow shop scheduling considering machine electricity consumption cost," International Journal of Production Economics, Elsevier, vol. 146(2), pages 423-439.
    6. Yenisey, Mehmet Mutlu & Yagmahan, Betul, 2014. "Multi-objective permutation flow shop scheduling problem: Literature review, classification and current trends," Omega, Elsevier, vol. 45(C), pages 119-135.
    7. Xiuli Wu & Shaomin Wu, 2017. "An elitist quantum-inspired evolutionary algorithm for the flexible job-shop scheduling problem," Journal of Intelligent Manufacturing, Springer, vol. 28(6), pages 1441-1457, August.
    8. Guillermo Campos Ciro & Frédéric Dugardin & Farouk Yalaoui & Russell Kelly, 2016. "Open shop scheduling problem with a multi-skills resource constraint: a genetic algorithm and an ant colony optimisation approach," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4854-4881, August.
    9. Zhang, Sicheng & Li, Xiang & Zhang, Bowen & Wang, Shouyang, 2020. "Multi-objective optimisation in flexible assembly job shop scheduling using a distributed ant colony system," European Journal of Operational Research, Elsevier, vol. 283(2), pages 441-460.
    10. Gerardo Minella & Rubén Ruiz & Michele Ciavotta, 2008. "A Review and Evaluation of Multiobjective Algorithms for the Flowshop Scheduling Problem," INFORMS Journal on Computing, INFORMS, vol. 20(3), pages 451-471, August.
    11. Mostafa Zandieh & Seyed Mojtaba Sajadi & Reza Behnoud, 2017. "Integrated production scheduling and maintenance planning in a hybrid flow shop system: a multi-objective approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1630-1642, November.
    12. A. R. Rahimi-Vahed & S. M. Mirghorbani, 2007. "A multi-objective particle swarm for a flow shop scheduling problem," Journal of Combinatorial Optimization, Springer, vol. 13(1), pages 79-102, January.
    13. Rui Zhang, 2017. "Sustainable Scheduling of Cloth Production Processes by Multi-Objective Genetic Algorithm with Tabu-Enhanced Local Search," Sustainability, MDPI, vol. 9(10), pages 1-26, September.
    14. Lin, Yang-Kuei & Fowler, John W. & Pfund, Michele E., 2013. "Multiple-objective heuristics for scheduling unrelated parallel machines," European Journal of Operational Research, Elsevier, vol. 227(2), pages 239-253.
    15. Loukil, Taicir & Teghem, Jacques & Fortemps, Philippe, 2007. "A multi-objective production scheduling case study solved by simulated annealing," European Journal of Operational Research, Elsevier, vol. 179(3), pages 709-722, June.
    16. Jianhui Mou & Xinyu Li & Liang Gao & Wenchao Yi, 2018. "An effective L-MONG algorithm for solving multi-objective flow-shop inverse scheduling problems," Journal of Intelligent Manufacturing, Springer, vol. 29(4), pages 789-807, April.
    17. Allouche, Mohamed Anis & Aouni, Belaïd & Martel, Jean-Marc & Loukil, Taïcir & Rebaï, Abdelwaheb, 2009. "Solving multi-criteria scheduling flow shop problem through compromise programming and satisfaction functions," European Journal of Operational Research, Elsevier, vol. 192(2), pages 460-467, January.

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