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Object-oriented dynamic supply-chain modelling incorporated with production scheduling

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  • Hung, Wing Yan
  • Samsatli, Nouri J.
  • Shah, Nilay

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  • Hung, Wing Yan & Samsatli, Nouri J. & Shah, Nilay, 2006. "Object-oriented dynamic supply-chain modelling incorporated with production scheduling," European Journal of Operational Research, Elsevier, vol. 169(3), pages 1064-1076, March.
    • Handle: RePEc:eee:ejores:v:169:y:2006:i:3:p:1064-1076
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    References listed on IDEAS

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    1. Vidal, Carlos J. & Goetschalckx, Marc, 1997. "Strategic production-distribution models: A critical review with emphasis on global supply chain models," European Journal of Operational Research, Elsevier, vol. 98(1), pages 1-18, April.
    2. van der Vorst, Jack G. A. J. & Beulens, Adrie J. M. & van Beek, Paul, 2000. "Modelling and simulating multi-echelon food systems," European Journal of Operational Research, Elsevier, vol. 122(2), pages 354-366, April.
    3. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    4. Slats, Piet A. & Bhola, Bis & Evers, Joseph J. M. & Dijkhuizen, Gert, 1995. "Logistic chain modelling," European Journal of Operational Research, Elsevier, vol. 87(1), pages 1-20, November.
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    Cited by:

    1. Svetlana Nikolicic & Milorad Kilibarda & Marinko Maslaric & Dejan Mircetic & Sanja Bojic, 2021. "Reducing Food Waste in the Retail Supply Chains by Improving Efficiency of Logistics Operations," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    2. Ge, Houtian & Gray, Richard & Nolan, James, 2015. "Agricultural supply chain optimization and complexity: A comparison of analytic vs simulated solutions and policies," International Journal of Production Economics, Elsevier, vol. 159(C), pages 208-220.
    3. Jinghua zhao & Jie Lin & Xia Zhao, 2017. "Ant Colony Algorithm And Multi-Agent-Based Production Scheduling Optimization Model," Malaysian E Commerce Journal (MECJ), Zibeline International Publishing, vol. 1(1), pages 1-6, January.
    4. Aijun Liu & John Fowler & Michele Pfund, 2016. "Dynamic co-ordinated scheduling in the supply chain considering flexible routes," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 322-335, January.
    5. Zhou, Quan Spring & Olsen, Tava Lennon, 2018. "Rotating the medical supplies for emergency response: A simulation based approach," International Journal of Production Economics, Elsevier, vol. 196(C), pages 1-11.
    6. Akanle, O.M. & Zhang, D.Z., 2008. "Agent-based model for optimising supply-chain configurations," International Journal of Production Economics, Elsevier, vol. 115(2), pages 444-460, October.
    7. L Ferreira & D Borenstein, 2011. "Normative agent-based simulation for supply chain planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 501-514, March.
    8. Ge, Houtian & Nolan, James & Gray, Richard & Goetz, Stephan & Han, Yicheol, 2016. "Supply chain complexity and risk mitigation – A hybrid optimization–simulation model," International Journal of Production Economics, Elsevier, vol. 179(C), pages 228-238.

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