A generalized algorithm and framework for online 3-dimensional bin packing in an automated sorting center

Ojha, Ankush; Agarwal, Marichi; Singhal, Aniruddha; Sarkar, Chayan; Ghosh, Supratim; Sinha, Rajesh Kumar

doi:10.1109/icc54714.2021.9703142

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…There are a lack of datasets that are accepted by the community for benchmarking 3DBPP algorithms in the present day; thus, a benchmark dataset for robotic bin packing, which is based on realistic data, is presented in [105]. Two heuristic approaches for solving the online robotic 3DBPP in an automated sorting center are also presented in [106], one for bench-marking and one for real-time deployment. In this highly demanding environment, a robot must make decisions within a tight time frame so as to pick up a box from the conveyor and place it in its final place onto the pallet.…”

Section: Roboticsmentioning

confidence: 99%

Mixed Palletizing for Smart Warehouse Environments: Sustainability Review of Existing Methods

Daios,

Kladovasilakis,

Kostavelis

2024

Sustainability

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Mixed palletizing constitutes one of the problems in the logistics domain aroused from the need for fast product movement to satisfy the continuously increasing number of customers with the demand for highly personalized goods. In a demanding environment, such as warehouses, where break bulk and the consolidation of loads take up most of the working time, the automation of mixed palletizing can lead to increased efficiency and speed while keeping errors to a minimum. Space utilization of pallets enables savings in storage and transportation costs, boosting the overall sustainable role of the Supply Chain sector. This paper presents the proposed approaches to mixed palletizing stemming from different fields, with a focus on recent developments in the application of Industry 4.0 technologies. Our research highlights quite a few areas that require attention from researchers.

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Section: Roboticsmentioning

confidence: 99%