A classification approach to order picking systems and policies: Integrating automation and optimization for future research-Reference-Cited by-同舟云学术

A classification approach to order picking systems and policies: Integrating automation and optimization for future research

Published:2023-09 Issue: Volume:12 Page:100281
ISSN:2666-7207
Container-title:Results in Control and Optimization
language:en
Short-container-title:Results in Control and Optimization

Author:

Pinto Anderson Rogério Faia^ORCID,Nagano Marcelo Seido^ORCID,Boz Esra^ORCID

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Nacional de Desenvolvimento do Ensino Superior Particular

Publisher

Elsevier BV

Reference158 articles.

1. A study of a lock fuzzy EPQ model with deterioration and stock and unit selling price-dependent demand using preservation technology;Rahaman;Soft Comput,2022

2. An insight into the impacts of memory, selling price and displayed stock on a retailer's decision in an inventory management problem;Rahaman;Fractal Fract,2022

3. A learning-based optimal decision scenario for an inventory problem under a price discount policy;Momena;Systems,2023

4. A genetic algorithm based heuristic optimization technique for solving balanced allocation problem involving overall shipping cost minimization with restriction to the number of serving units as well as customer hubs;Deb;Results Control Optim,2023

5. The impact of integrated cluster-based storage allocation on parts-to-picker warehouse performance;Mirzaei;Transp Res E Logist Transp Rev,2021

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