Hierarchical integration of production planning and scheduling
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References listed on IDEAS
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Cited by:
- Mingxing Li & Ray Y. Zhong & Ting Qu & George Q. Huang, 2022. "Spatial–temporal out-of-order execution for advanced planning and scheduling in cyber-physical factories," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1355-1372, June.
- Corominas, Albert & Lusa, Amaia & Pastor, Rafael, 2007. "Using a MILP model to establish a framework for an annualised hours agreement," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1495-1506, March.
- Gahm, Christian & Uzunoglu, Aykut & Wahl, Stefan & Ganschinietz, Chantal & Tuma, Axel, 2022. "Applying machine learning for the anticipation of complex nesting solutions in hierarchical production planning," European Journal of Operational Research, Elsevier, vol. 296(3), pages 819-836.
- Marco Trost & Thorsten Claus & Frank Herrmann, 2022. "Social Sustainability in Production Planning: A Systematic Literature Review," Sustainability, MDPI, vol. 14(13), pages 1-31, July.
- Sali, Mustapha & Ghrab, Yahya & Chatras, Clément, 2023. "Optimal product aggregation for sales and operations planning in mass customisation context," International Journal of Production Economics, Elsevier, vol. 263(C).
- Michelle L. Blom & Adrian R. Pearce & Peter J. Stuckey, 2016. "A Decomposition-Based Algorithm for the Scheduling of Open-Pit Networks Over Multiple Time Periods," Management Science, INFORMS, vol. 62(10), pages 3059-3084, October.
- Payman Jula & Robert Leachman, 2008. "Coordinating decentralized local schedulers in complex supply chain manufacturing," Annals of Operations Research, Springer, vol. 161(1), pages 123-147, July.
- Nielsen Peter & Do Ngoc Anh Dung & Eriksen Thomas & Nielsen Izabela, 2014. "Towards an Analysis Methodology for Identifying Root Causes of Poor Delivery Performance," Foundations of Management, Paradigm, vol. 6(2), pages 31-42, December.
- Akhtari, Shaghaygh & Sowlati, Taraneh & Griess, Verena C., 2018. "Integrated strategic and tactical optimization of forest-based biomass supply chains to consider medium-term supply and demand variations," Applied Energy, Elsevier, vol. 213(C), pages 626-638.
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