A hybrid approach integrating genetic algorithm and machine learning to solve the order picking batch assignment problem considering learning and fatigue of pickers-Reference-Cited by-同舟云学术

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A hybrid approach integrating genetic algorithm and machine learning to solve the order picking batch assignment problem considering learning and fatigue of pickers

Published:2024-05 Issue: Volume:191 Page:110175
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Gabellini Matteo^ORCID,Calabrese Francesca^ORCID,Regattieri Alberto,Loske Dominic,Klumpp Matthias

Funder

European Union

Publisher

Elsevier BV

Reference52 articles.

1. Order batching optimization for warehouses with cluster-picking;Aboelfotoh;Procedia Manufacturing,2019

2. A rule-based heuristic algorithm for on-line order batching and scheduling in an order picking warehouse with multiple pickers;Alipour;RAIRO - Operations Research,2020

3. A hybrid artificial neural network, genetic algorithm and column generation heuristic for minimizing makespan in manual order picking operations;Ardjmand;Expert Systems with Applications,2020

4. A new learning curve with fatigue-dependent learning rate;Asadayoobi;Applied Mathematical Modelling,2021

5. Finding a needle in a haystack: The effects of searching and learning on pick-worker performance;Batt;Management Science,2019

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1. A hybrid Machine learning solution for redesigning sustainable circular energy supply chains;Computers & Industrial Engineering;2024-09

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