Spatial-temporal deep learning method for solving data-driven multi-echelon stochastic lot sizing problems with intermediate demands
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DOI: 10.1080/17517575.2024.2406008
Abstract: ABSTRACT For the production processes and inventory decisions of a multichannel supply chain, a multi-echelon stochastic lot sizing problem with intermediate demands is extended to a constrained problem that considers the production (inventory) capacity constraint… read more here.
Keywords: lot sizing; intermediate demands; multi echelon; stochastic lot ... See more keywords