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The development of genetic algorithms for the finite capacity scheduling of complex products, with multiple levels of product structure

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  • Pongcharoen, P.
  • Hicks, C.
  • Braiden, P. M.

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  • Pongcharoen, P. & Hicks, C. & Braiden, P. M., 2004. "The development of genetic algorithms for the finite capacity scheduling of complex products, with multiple levels of product structure," European Journal of Operational Research, Elsevier, vol. 152(1), pages 215-225, January.
    • Handle: RePEc:eee:ejores:v:152:y:2004:i:1:p:215-225
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    1. Harold H. Greenberg, 1968. "A Branch-Bound Solution to the General Scheduling Problem," Operations Research, INFORMS, vol. 16(2), pages 353-361, April.
    2. Eugeniusz Nowicki & Czeslaw Smutnicki, 1996. "A Fast Taboo Search Algorithm for the Job Shop Problem," Management Science, INFORMS, vol. 42(6), pages 797-813, June.
    3. Kolonko, M., 1999. "Some new results on simulated annealing applied to the job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 113(1), pages 123-136, February.
    4. Nagar, Amit & Haddock, Jorge & Heragu, Sunderesh, 1995. "Multiple and bicriteria scheduling: A literature survey," European Journal of Operational Research, Elsevier, vol. 81(1), pages 88-104, February.
    5. Alan S. Manne, 1960. "On the Job-Shop Scheduling Problem," Operations Research, INFORMS, vol. 8(2), pages 219-223, April.
    6. Ben-Daya, M. & Al-Fawzan, M., 1998. "A tabu search approach for the flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 109(1), pages 88-95, August.
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    Cited by:

    1. Chen, Kejia & Ji, Ping, 2007. "A mixed integer programming model for advanced planning and scheduling (APS)," European Journal of Operational Research, Elsevier, vol. 181(1), pages 515-522, August.
    2. Pongcharoen, P. & Promtet, W. & Yenradee, P. & Hicks, C., 2008. "Stochastic Optimisation Timetabling Tool for university course scheduling," International Journal of Production Economics, Elsevier, vol. 112(2), pages 903-918, April.
    3. Wang, K.-J. & Wang, S.-M. & Chen, J.-C., 2008. "A resource portfolio planning model using sampling-based stochastic programming and genetic algorithm," European Journal of Operational Research, Elsevier, vol. 184(1), pages 327-340, January.
    4. Wang, K.-J. & Wang, S.-M. & Yang, S.-J., 2007. "A resource portfolio model for equipment investment and allocation of semiconductor testing industry," European Journal of Operational Research, Elsevier, vol. 179(2), pages 390-403, June.
    5. D J Stewardson & R I Whitfield, 2004. "A demonstration of the utility of fractional experimental design for finding optimal genetic algorithm parameter settings," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(2), pages 132-138, February.
    6. Vitayasak, Srisatja & Pongcharoen, Pupong & Hicks, Chris, 2017. "A tool for solving stochastic dynamic facility layout problems with stochastic demand using either a Genetic Algorithm or modified Backtracking Search Algorithm," International Journal of Production Economics, Elsevier, vol. 190(C), pages 146-157.

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