Neural Network Control of Perishable Inventory with Fixed Shelf Life Products and Fuzzy Order Refinement under Time-Varying Uncertain Demand
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- A A Syntetos & J E Boylan & J D Croston, 2005. "On the categorization of demand patterns," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(5), pages 495-503, May.
- Huber, Jakob & Stuckenschmidt, Heiner, 2021. "Intraday shelf replenishment decision support for perishable goods," International Journal of Production Economics, Elsevier, vol. 231(C).
- Saeideh Farajzadeh Bardeji & Amir Mohammad Fakoor Saghih & Alireza Pooya & Seyed-Hadi Mirghaderi, 2020. "Perishable inventory management using GA-ANN and ICA-ANN," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 13(3), pages 347-382.
- Ensafian, Hamidreza & Yaghoubi, Saeed, 2017. "Robust optimization model for integrated procurement, production and distribution in platelet supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 32-55.
- Andreas Thorsen & Tao Yao, 2017. "Robust inventory control under demand and lead time uncertainty," Annals of Operations Research, Springer, vol. 257(1), pages 207-236, October.
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Keywords
perishable inventory management; sustainable control system; artificial intelligence; evolutionary computation; uncertain demand; robust optimization; energy sustainability;All these keywords.
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