Basic VNS for a Variant of the Online Order Batching Problem

Gil Borrás, Sergio ORCID: https://orcid.org/0000-0003-1804-7379, Garcia Pardo, Eduardo ORCID: https://orcid.org/0000-0002-6247-5269, Alonso Ayuso, Antonio ORCID: https://orcid.org/0000-0002-6130-3596 and Duarte Muñoz, Abraham ORCID: https://orcid.org/0000-0002-4532-3124 (2020). Basic VNS for a Variant of the Online Order Batching Problem. En: "7th International Conference Variable Neighborhood Search (ICVNS 2019)", October 3–5, 2019, Rabat, Morocco. ISBN 978-3-030-44932-2. pp. 17-36. https://doi.org/10.1007/978-3-030-44932-2_2.

Descripción

Título: Basic VNS for a Variant of the Online Order Batching Problem
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 7th International Conference Variable Neighborhood Search (ICVNS 2019)
Fechas del Evento: October 3–5, 2019
Lugar del Evento: Rabat, Morocco
Título del Libro: Lecture Notes in Computer Science - Variable Neighborhood Search
Fecha: 8 Abril 2020
ISBN: 978-3-030-44932-2
Materias:
Palabras Clave Informales: Online Order Batching Problem; Batching; Variable Neighborhood Search; Multiple pickers
Escuela: E. Politécnica de Enseñanza Superior (UPM)
Departamento: Sistemas Informáticos
Licencias Creative Commons: Ninguna

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Resumen

The Online Order Batching Problem is a combinatorial optimization problem related to the process of retrieving items within a warehouse. It appears in the context of warehousing, when the warehouse follows an order-batching picking policy, which means that orders are packed together into batches before been collected. Additionally, since this problem is online, orders are arriving to the warehouse continuously, which is usually due to the fact that orders come from an e-commerce platform. The variant of the problem tacked in this paper also considers an additional characteristic: there are multiple pickers available to collect the batches. In this paper we propose several strategies, based on the Variable Neighborhood Search methodology, to tackle the problem and we compare them with the algorithms in the state of the art, using previously referred data sets. Additionally, we test the influence of different routing strategies not used before in the context of this variant.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
RTI2018-094269-B-I00
Sin especificar
Javier Martínez Moguerza; Antonio Alonso Ayuso
Optimización Matemática y Ciencia de Datos para la Industria.

Más información

ID de Registro: 86637
Identificador DC: https://oa.upm.es/86637/
Identificador OAI: oai:oa.upm.es:86637
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/6311404
Identificador DOI: 10.1007/978-3-030-44932-2_2
URL Oficial: https://link.springer.com/chapter/10.1007/978-3-03...
Depositado por: Dr Sergio Gil Borrás
Depositado el: 22 Ene 2025 12:35
Ultima Modificación: 22 Ene 2025 12:35