Minimizing the height of stacked egg cartons: A comparison of solving 3D bin packing problems and packers' experience

Hasachoo, Narat; Sirisawat, Pornwasin; Kalaya, P.

doi:10.1109/ieem.2017.8290046

Cited by 2 publications

(2 citation statements)

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“…Other constraints like dimension, weight, and volume are considered in most studies to address the unique requirements of different scenarios. These constraints collectively form a comprehensive framework for tackling multidimensional bin-packing problems, highlighting the complexity and adaptability required to address real-world packing challenges [12,15,16,28].…”

Section: Balancing Priority Fragility or Other Constraintsmentioning

confidence: 99%

“…Industry 4.0 often involves the use of digital twins, which are virtual representations of physical assets or systems. In a study presented by Hasachoo et al [28], the use of MILP to model and optimise the container-loading process can be seen as a form of digital twinning. The model represents the physical process, and MILP allows for virtual experimentation and optimisation of packing patterns before actual execution.…”

Section: Mixed-integer Linear Programming (Milp)mentioning

confidence: 99%

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Volumetric Techniques for Product Routing and Loading Optimisation in Industry 4.0: A Review

Lopes,

Trovati,

Pereira

2024

Future Internet

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Industry 4.0 has become a crucial part in the majority of processes, components, and related modelling, as well as predictive tools that allow a more efficient, automated and sustainable approach to industry. The availability of large quantities of data, and the advances in IoT, AI, and data-driven frameworks, have led to an enhanced data gathering, assessment, and extraction of actionable information, resulting in a better decision-making process. Product picking and its subsequent packing is an important area, and has drawn increasing attention for the research community. However, depending of the context, some of the related approaches tend to be either highly mathematical, or applied to a specific context. This article aims to provide a survey on the main methods, techniques, and frameworks relevant to product packing and to highlight the main properties and features that should be further investigated to ensure a more efficient and optimised approach.

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Section: Balancing Priority Fragility or Other Constraintsmentioning

confidence: 99%

Section: Mixed-integer Linear Programming (Milp)mentioning

confidence: 99%