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dc.contributor.advisorTran, Duc Vi
dc.contributor.authorLe, Hong Quan
dc.date.accessioned2024-03-22T07:28:47Z
dc.date.available2024-03-22T07:28:47Z
dc.date.issued2023-03
dc.identifier.urihttp://keep.hcmiu.edu.vn:8080/handle/123456789/5231
dc.description.abstractWarehouses and factories are two important components in the supply chain, operating warehouses combined with production is a huge challenge for businesses today, operating warehouses using old methods such as class -based has revealed certain weaknesses when the size of the product increases rapidly. In this study, we have built an optimal model of operation using MILP method, our method is detailed to each picking and storing location. This can help businesses track-trace every small change of each location in the warehouse. The objective function of our method is to minimize the operating costs of the company, our model reduces costs by 6.14%. In addition, sensitivity analysis is performed to assess responsiveness when demand doubled. In addition, we also evaluated the impact of the model on Economic, social, and environment. Finally, this model can be applied in practice and businesses should consider applying.en_US
dc.language.isoenen_US
dc.subjectProduction planningen_US
dc.subjectWarehouse storage assignmenten_US
dc.subjectRandomized policyen_US
dc.subjectInteger linear programmingen_US
dc.titleOptimizing Production And Warehouse Operation Cost Under Random Storage Policy: A Case Study Of A FMCG Companyen_US
dc.typeThesisen_US


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