Browsing by Author "Sousa, Paulo S. A."
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- Dealing with the storage location assignment problem with precedence constraintsPublication . Trindade, Maria A. M.; Moreira, Maria R. A.; Sousa, Paulo S. A.This paper proposes a zero-one quadratic assignment model for dealing with the storage location assignment problem when there are weight constraints. Our analysis shows that operations can be improved using our model. When comparing the strategy currently used in a real-life company with the designed model, we found that the new placement of products allowed a reduction of up to 22% on the picking distance. This saving is higher than that achieved with the creation of density zones, a procedure commonly used to deal with weight constraints, according to the literature.
- Defining a storage-assignment strategy for precedence-constrained order pickingPublication . Trindade, Maria A. M.; Sousa, Paulo S. A.; Moreira, Maria R. A.A zero-one quadratic assignment model has been proposed for dealing with the storage location assignment problem when there are weight constraints. Our analysis shows that operations can be improved using our model. When comparing the strategy currently used in a real-life company with the designed model, we found that the new placement of products allowed a reduction of up to 22% on the picking distance. This saving is higher than that achieved with the creation of density zones, a procedure commonly used to deal with weight constraints, according to the literature.
- Improving order-picking operations with precedence constraints through efficient storage location assignment: evidence from a retail companyPublication . Trindade, Maria A. M.; Sousa, Paulo S. A.; Moreira, Maria R. A.This paper is inspired by a manual picking retail company where shape and weight constraints affect the order-picking process. We proposed an alternative clustering similarity index that considers the similarity, the weight and the shape of products. This similarity index was further incorporated in a storage allocation heuristic procedure to set the location of the products. We test the procedure in a retail company that supplies over 191 stores, in Northern Portugal. When comparing the strategy currently used in the company with this procedure, we found out that our approach enabled a reduction of up to 40% on the picking distance; a percentage of improvement that is 32% higher than the one achieved by applying the Jaccard index, a similarity index commonly used in the literature. This allows warehouses to save time and work faster.
- Product allocation planning with handling constraints: a case study analysisPublication . Trindade, Maria A. M.; Sousa, Paulo S. A.; Moreira, Maria R. A.