FamiPacking: A Diffusion Model for Guiding 3D Bin Packing

Chu Jun Peng; Ling Lo; Hongxia Xie; Chien Chih Chiu; Wan Hsin Hsueh; Shih Chieh Huang; Hong Han Shuai; Wen Huang Cheng

doi:10.1049/icp.2023.3199

FamiPacking: A Diffusion Model for Guiding 3D Bin Packing

Chu Jun Peng
, Ling Lo
, Hongxia Xie
, Chien Chih Chiu
, Wan Hsin Hsueh
, Shih Chieh Huang
, Hong Han Shuai
, Wen Huang Cheng

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

3D bin packing (3D-BPP) is one of the most important problems in logistics. To optimize the packaging material usage, we proposed a novel interactive system based on diffusion models for 3D-BPP, namely FamiPacking, which takes the input of data regarding bins and items to be packed and outputs the minimum number of required bins with a visualization instruction. To our knowledge, this is the first diffusion-based system for packing planning. The techniques behind our FamiPacking have been practiced to deal with real-world challenges and improve the packing system of Taiwan FamilyMart (Taiwan's best convenience store chain).

Original language	English
Pages (from-to)	79-80
Number of pages	2
Journal	IET Conference Proceedings
Volume	2023
Issue number	35
DOIs	https://doi.org/10.1049/icp.2023.3199
State	Published - 2023
Event	2023 IET International Conference on Engineering Technologies and Applications, ICETA 2023 - Yunlin, Taiwan Duration: 21 Oct 2023 → 23 Oct 2023

Keywords

3D Bin packing
Diffusion models
Generative AI
Graph modeling

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10.1049/icp.2023.3199

Cite this

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title = "FamiPacking: A Diffusion Model for Guiding 3D Bin Packing",

abstract = "3D bin packing (3D-BPP) is one of the most important problems in logistics. To optimize the packaging material usage, we proposed a novel interactive system based on diffusion models for 3D-BPP, namely FamiPacking, which takes the input of data regarding bins and items to be packed and outputs the minimum number of required bins with a visualization instruction. To our knowledge, this is the first diffusion-based system for packing planning. The techniques behind our FamiPacking have been practiced to deal with real-world challenges and improve the packing system of Taiwan FamilyMart (Taiwan's best convenience store chain).",

keywords = "3D Bin packing, Diffusion models, Generative AI, Graph modeling",

author = "Peng, \{Chu Jun\} and Ling Lo and Hongxia Xie and Chiu, \{Chien Chih\} and Hsueh, \{Wan Hsin\} and Huang, \{Shih Chieh\} and Shuai, \{Hong Han\} and Cheng, \{Wen Huang\}",

note = "Publisher Copyright: {\textcopyright} The Institution of Engineering \& Technology 2023.; 2023 IET International Conference on Engineering Technologies and Applications, ICETA 2023 ; Conference date: 21-10-2023 Through 23-10-2023",

year = "2023",

doi = "10.1049/icp.2023.3199",

language = "English",

volume = "2023",

pages = "79--80",

journal = "IET Conference Proceedings",

issn = "2732-4494",

publisher = "Institution of Engineering and Technology",

number = "35",

}

TY - JOUR

T1 - FamiPacking

T2 - 2023 IET International Conference on Engineering Technologies and Applications, ICETA 2023

AU - Peng, Chu Jun

AU - Lo, Ling

AU - Xie, Hongxia

AU - Chiu, Chien Chih

AU - Hsueh, Wan Hsin

AU - Huang, Shih Chieh

AU - Shuai, Hong Han

AU - Cheng, Wen Huang

N1 - Publisher Copyright: © The Institution of Engineering & Technology 2023.

PY - 2023

Y1 - 2023

N2 - 3D bin packing (3D-BPP) is one of the most important problems in logistics. To optimize the packaging material usage, we proposed a novel interactive system based on diffusion models for 3D-BPP, namely FamiPacking, which takes the input of data regarding bins and items to be packed and outputs the minimum number of required bins with a visualization instruction. To our knowledge, this is the first diffusion-based system for packing planning. The techniques behind our FamiPacking have been practiced to deal with real-world challenges and improve the packing system of Taiwan FamilyMart (Taiwan's best convenience store chain).

AB - 3D bin packing (3D-BPP) is one of the most important problems in logistics. To optimize the packaging material usage, we proposed a novel interactive system based on diffusion models for 3D-BPP, namely FamiPacking, which takes the input of data regarding bins and items to be packed and outputs the minimum number of required bins with a visualization instruction. To our knowledge, this is the first diffusion-based system for packing planning. The techniques behind our FamiPacking have been practiced to deal with real-world challenges and improve the packing system of Taiwan FamilyMart (Taiwan's best convenience store chain).

KW - 3D Bin packing

KW - Diffusion models

KW - Generative AI

KW - Graph modeling

UR - https://www.scopus.com/pages/publications/85188444587

U2 - 10.1049/icp.2023.3199

DO - 10.1049/icp.2023.3199

M3 - Conference article

AN - SCOPUS:85188444587

SN - 2732-4494

VL - 2023

SP - 79

EP - 80

JO - IET Conference Proceedings

JF - IET Conference Proceedings

IS - 35

Y2 - 21 October 2023 through 23 October 2023

ER -

FamiPacking: A Diffusion Model for Guiding 3D Bin Packing

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