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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Main Authors: Pablo Viveros, Katalina González, Rodrigo Mena, Fredy Kristjanpoller, Javier Robledo
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
SKU
Online Access:https://www.mdpi.com/2076-3417/11/3/936
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spelling 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
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