A Framework for the Automated and Optimal Design of Vertical Lift Modules

To this day, tasks like planning and managing warehouses remain complex. Automated storage and retrieval systems have enhanced warehousing efficiency, yet designing them optimally is still challenging, despite their importance for the efficient operation of the warehouse. This article aims to present a novel framework for automating the optimal design of vertical lift modules (VLMs), focusing on tray types, quantities, and item-tray sector assignments, based on a specified inventory list. The approach accounts for VLM’s physical, manufacturing, and ergonomic constraints to ensure a manufacturable system design. To manage computational complexity, the size of the mixed-integer problem is reduced through an exact clustering of items, sectors, and layouts. The proposed framework is tested through numerical simulations using real data from an Italian VLM manufacturer.

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Publication Details

Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2025-03-19
DOI
https://doi.org/10.1109/tsmc.2025.3547302
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

A Framework for the Automated and Optimal Design of Vertical Lift Modules

Mariagrazia Dotoli, Paolo Scarabaggio, Raffaele Carli, Nicola Mignoni
IEEE Transactions on Systems Man and Cybernetics Systems
Advanced Manufacturing and Logistics Optimization
article

A Framework for the Automated and Optimal Design of Vertical Lift Modules

Mariagrazia Dotoli, Paolo Scarabaggio, Raffaele Carli, Nicola Mignoni
article en

Abstract

To this day, tasks like planning and managing warehouses remain complex. Automated storage and retrieval systems have enhanced warehousing efficiency, yet designing them optimally is still challenging, despite their importance for the efficient operation of the warehouse. This article aims to present a novel framework for automating the optimal design of vertical lift modules (VLMs), focusing on tray types, quantities, and item-tray sector assignments, based on a specified inventory list. The approach accounts for VLM’s physical, manufacturing, and ergonomic constraints to ensure a manufacturable system design. To manage computational complexity, the size of the mixed-integer problem is reduced through an exact clustering of items, sectors, and layouts. The proposed framework is tested through numerical simulations using real data from an Italian VLM manufacturer.

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 55(6)
Polytechnic University of Bari (IT)
Affordable and clean energy
Openalex Percentile: Top 94%
Advanced Manufacturing and Logistics Optimization
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A Framework for the Automated and Optimal Design of Vertical Lift Modules — Mariagrazia Dotoli, Paolo Scarabaggio, et al. · IEEE Transactions on Systems Man and Cybernetics Systems (2025) | TGRS Research Map | TGRS