Metaheuristics for Order Picking Optimisation: A Comparison Among Three Swarm-Intelligence Algorithms
Nowadays, the Order Picking Problem (OPP) represents the most costly and time-consuming operation of warehouse management, with an average ranging from 50 to 75% of the total warehouse management cost. So, OPP is being analysed to improve logistics operations in companies. The OPP consists of dispat...
Saved in:
主要作者: | Rivera Zarate, Gilberto |
---|---|
其他作者: | Florencia, Rogelio, García, Vicente, Gonzalez Demoss, Martha Victoria, Sánchez Solís, Julia Patricia |
格式: | Capítulo de libro |
語言: | English |
出版: |
Springer
2021
|
主題: | |
在線閱讀: | https://doi.org/10.1007/978-3-030-68663-5_13 https://link.springer.com/chapter/10.1007/978-3-030-68663-5_13 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Hybridisation of Swarm Intelligence Algorithms with Multi-Criteria Ordinal Classification: A Strategy to Address Many-Objective Optimisation
由: Rivera Zarate, Gilberto
出版: (2022) -
Outranking-based multi-objective PSO for scheduling unrelated parallel
machines with a freight industry-oriented application
由: Rivera Zarate, Gilberto
出版: (2021) -
An interactive ACO enriched with an eclectic multi-criteria ordinal classifier to address many-objective optimisation problems
由: Rivera Zarate, Gilberto
出版: (2023) -
On the Order Picking Policies in Warehouses: Algorithms and their Behavior
由: Rivera Zarate, Gilberto
出版: (2021) -
Application of the Order-Picking and Self-Organizing Maps Models to Optimize the Supply Chain: A Review of the Literature
由: López-Santos, Irving
出版: (2019)