Abstract
AbstractSupply chain management is a large-scale planning under uncertainty. It is important to build an efficient supply chain under uncertain circumstances. There are numerous traditional lateral transshipment models targeting only demands but do not include rentals and returns. This study provides the uncertainty between rentals and returns by scenarios using a multi-period stochastic programming model of lateral transshipment problems. The moment matching method was used to reduce the number of scenarios and the computation time, and the comparative experiment demonstrated the utility of this model.KeywordsStochastic programmingInventory transshipmentSupply chain
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