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

研究成果: Conference article › 同行評審

摘要

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).

原文	English
頁（從 - 到）	79-80
頁數	2
期刊	IET Conference Proceedings
卷	2023
發行號	35
DOIs	https://doi.org/10.1049/icp.2023.3199
出版狀態	Published - 2023
事件	2023 IET International Conference on Engineering Technologies and Applications, ICETA 2023 - Yunlin, Taiwan 持續時間: 21 10月 2023 → 23 10月 2023

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10.1049/icp.2023.3199

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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",

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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

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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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