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Dynamic co-ordinated scheduling in the supply chain considering flexible routes

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  • Aijun Liu
  • John Fowler
  • Michele Pfund

Abstract

In Supply chain (SC) environments, schedules inevitably experience various unexpected disruptions. In these cases, rescheduling is essential to minimise the negative impact on the performance of the system. In this study, a hybrid rescheduling technique is developed for solving coordinated manufacturing tasks scheduling problems with due date changes and machine breakdowns. According to the dynamic features of this problem, a strategy combined with event and periodic driven methods is proposed to improve the stability and robustness of manufacturing performance in a coordinated SC. Moreover, an application case is introduced to test and evaluate the effect of different initialisations in two types of disruption scenarios. The experimental results show that the proposed rescheduling technique has good effectiveness and efficiency in the coordinated manufacturing environment.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:1:p:322-335
    DOI: 10.1080/00207543.2015.1115908
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    References listed on IDEAS

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    1. 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.
    2. Thanh, Phuong Nga & Bostel, Nathalie & Péton, Olivier, 2008. "A dynamic model for facility location in the design of complex supply chains," International Journal of Production Economics, Elsevier, vol. 113(2), pages 678-693, June.
    3. Jeong, In-Jae, 2011. "A dynamic model for the optimization of decoupling point and production planning in a supply chain," International Journal of Production Economics, Elsevier, vol. 131(2), pages 561-567, June.
    4. Vinod, V. & Sridharan, R., 2011. "Simulation modeling and analysis of due-date assignment methods and scheduling decision rules in a dynamic job shop production system," International Journal of Production Economics, Elsevier, vol. 129(1), pages 127-146, January.
    5. Schönlein, Michael & Makuschewitz, Thomas & Wirth, Fabian & Scholz-Reiter, Bernd, 2013. "Measurement and optimization of robust stability of multiclass queueing networks: Applications in dynamic supply chains," European Journal of Operational Research, Elsevier, vol. 229(1), pages 179-189.
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    Cited by:

    1. Wei Song & Zhiya Chen & Aijun Liu & Qiuyun Zhu & Wei Zhao & Sang-Bing Tsai & Hui Lu, 2018. "A Study on Green Supplier Selection in Dynamic Environment," Sustainability, MDPI, vol. 10(4), pages 1-22, April.
    2. Wei Song & Zhiya Chen & Xuping Wang & Qian Wang & Chenghua Shi & Wei Zhao, 2017. "Environmentally Friendly Supplier Selection Using Prospect Theory," Sustainability, MDPI, vol. 9(3), pages 1-17, March.

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