Slotting Optimization Model for a Warehouse with Divisible First-Level Accommodation Locations
Efficiency in supply chains is critically affected by the performance of operations within warehouses. For this reason, the activities related to the disposition and management of inventories are crucial. This work addresses the multi-level storage locations assignment problem for SKU pallets, consi...
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doaj-758e42a5acc64cfa9e301f9f3bc167eb2021-01-21T00:06:07ZengMDPI AGApplied Sciences2076-34172021-01-011193693610.3390/app11030936Slotting Optimization Model for a Warehouse with Divisible First-Level Accommodation LocationsPablo Viveros0Katalina González1Rodrigo Mena2Fredy Kristjanpoller3Javier Robledo4Department of Industrial Engineering, Technical University Federico Santa María, Av. España 1680, Valparaíso, ChileDepartment of Industrial Engineering, Technical University Federico Santa María, Av. España 1680, Valparaíso, ChileDepartment of Industrial Engineering, Technical University Federico Santa María, Av. España 1680, Valparaíso, ChileDepartment of Industrial Engineering, Technical University Federico Santa María, Av. España 1680, Valparaíso, ChileDepartment of Computer Engineering, Technical University Federico Santa María, Av. Santa María 6400, Santiago, ChileEfficiency in supply chains is critically affected by the performance of operations within warehouses. For this reason, the activities related to the disposition and management of inventories are crucial. This work addresses the multi-level storage locations assignment problem for SKU pallets, considering divisible locations in the first level to improve the picking operation and reduce the travel times associated with the routes of the cranes. A mathematical programming model is developed considering the objective of minimizing the total travel distance, and in the background, maximizing the use of storage capacity. To solve this complex problem, we consider its decomposition into four subproblems, which are solved sequentially. To evaluate the performance of the model, two analysis scenarios based on different storage strategies are proposed to evaluate both the entry and exit distance of pallets, as well as the cost associated with the movements.https://www.mdpi.com/2076-3417/11/3/936slottingorder pickingstorage strategiesstackabilitySKUproduct family |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pablo Viveros Katalina González Rodrigo Mena Fredy Kristjanpoller Javier Robledo |
spellingShingle |
Pablo Viveros Katalina González Rodrigo Mena Fredy Kristjanpoller Javier Robledo Slotting Optimization Model for a Warehouse with Divisible First-Level Accommodation Locations Applied Sciences slotting order picking storage strategies stackability SKU product family |
author_facet |
Pablo Viveros Katalina González Rodrigo Mena Fredy Kristjanpoller Javier Robledo |
author_sort |
Pablo Viveros |
title |
Slotting Optimization Model for a Warehouse with Divisible First-Level Accommodation Locations |
title_short |
Slotting Optimization Model for a Warehouse with Divisible First-Level Accommodation Locations |
title_full |
Slotting Optimization Model for a Warehouse with Divisible First-Level Accommodation Locations |
title_fullStr |
Slotting Optimization Model for a Warehouse with Divisible First-Level Accommodation Locations |
title_full_unstemmed |
Slotting Optimization Model for a Warehouse with Divisible First-Level Accommodation Locations |
title_sort |
slotting optimization model for a warehouse with divisible first-level accommodation locations |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-01-01 |
description |
Efficiency in supply chains is critically affected by the performance of operations within warehouses. For this reason, the activities related to the disposition and management of inventories are crucial. This work addresses the multi-level storage locations assignment problem for SKU pallets, considering divisible locations in the first level to improve the picking operation and reduce the travel times associated with the routes of the cranes. A mathematical programming model is developed considering the objective of minimizing the total travel distance, and in the background, maximizing the use of storage capacity. To solve this complex problem, we consider its decomposition into four subproblems, which are solved sequentially. To evaluate the performance of the model, two analysis scenarios based on different storage strategies are proposed to evaluate both the entry and exit distance of pallets, as well as the cost associated with the movements. |
topic |
slotting order picking storage strategies stackability SKU product family |
url |
https://www.mdpi.com/2076-3417/11/3/936 |
work_keys_str_mv |
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