EURO 2024 Copenhagen
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841. Integer Linear Programming Model for Sequencing and Storage Assignment Operations in a Multi-Aisle AS/RS With Non-Dedicated Cranes

Invited abstract in session TA-58: Warehouse Operations, stream VeRoLog - Vehicle Routing and Logistics.

Tuesday, 8:30-10:00
Room: S07 (building: 101)

Authors (first author is the speaker)

1. Edgar E. Córdoba-Sarmiento
School of Industrial and Business Studies, Universidad Industrial de Santander
2. Edwin Garavito
Escuela de Estudios Industriales y Empresariales, Universidad Industrial de Santander
3. Laura Y. Escobar-Rodríguez
Universidad Autónoma de Bucaramanga

Abstract

In recent years, automatization has taken on a relevant role in the low-skilled operations of different productive sectors. One of the most impacted sectors is logistics, which significantly influences product handling, warehousing, and shipping processes. In this context, Automated Storage and Retrieval Systems, AS/RS, become an ideal solution for logistics warehousing systems. Such implementation allows inventory management based on storage and retrieval orders optimizing the use of available physical space and material handling processes and improving system performance in terms of storage and retrieval times, material flow, energy consumption, operating costs, and other associated variable measurements. Multiple physical and control characteristics make up the global design of an AS/RS, involving the type of system technology, the number of aisles, the rack dimensions, storage and sequencing policies, among others.
In this work, we studied sequencing and storage assignment operations in a multi-aisle AS/RS with class-based storage, block sequencing strategy, and non-dedicated cranes. We proposed an Integer Linear Programming model to find the best operation decisions, considering the dynamic behavior of the AS/RS and evaluating some control decisions related to these operations. Our findings showed that the fill grade factor, the size of the classes, and the size of the sequencing block affect the performance of the system in terms of travel time metrics.

Keywords

Status: accepted

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