Collaborative maintenance decision-making on task assignments and vehicle route planning in agriculture

Xinlong Li; Yaoguang Hu; Weibo Ren; Jinliang Li; Zixuan Zhang

doi:10.1109/ICIEA58696.2023.10241860

Collaborative maintenance decision-making on task assignments and vehicle route planning in agriculture

Xinlong Li^*, Yaoguang Hu, Weibo Ren, Jinliang Li, Zixuan Zhang

^*此作品的通讯作者

机械与车辆学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

Considering the service shortage and service waste for service providers in busy season, this paper focus on the joint optimization problem of task assignment and vehicle route planning for geographically distributed agricultural machinery, which can be called multi-depot vehicle routing problem (MDVRP). We propose a collaborative maintenance decision-making model considering several key issues, including the service range of each service station, time window and priority of customers, the skill of service technicians, and maintenance time. We utilize particle swarm optimization (PSO) algorithm to optimize the task assignments and vehicle route planning simultaneously, and inspired by genetic algorithm (GA), we introduce variation mechanism to avoid plunging into local optimum. A large-scale real data study is presented to illustrate the superiority and feasibility of the collaborative service model compared with the traditional independent delivery model.

源语言	英语
主期刊名	Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
编辑	Wenjian Cai, Guilin Yang, Jun Qiu, Tingting Gao, Lijun Jiang, Tianjiang Zheng, Xinli Wang
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1597-1602
页数	6
ISBN（电子版）	9798350312201
DOI	https://doi.org/10.1109/ICIEA58696.2023.10241860
出版状态	已出版 - 2023
活动	18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 - Ningbo, 中国期限: 18 8月 2023 → 22 8月 2023

出版系列

姓名	Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

会议

会议	18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
国家/地区	中国
市	Ningbo
时期	18/08/23 → 22/08/23

访问文件

10.1109/ICIEA58696.2023.10241860

其它文件与链接

链接到 Scopus 的出版物

引用此

Li, X., Hu, Y., Ren, W., Li, J., & Zhang, Z. (2023). Collaborative maintenance decision-making on task assignments and vehicle route planning in agriculture. 在 W. Cai, G. Yang, J. Qiu, T. Gao, L. Jiang, T. Zheng, & X. Wang (编辑), Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 (页码 1597-1602). (Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA58696.2023.10241860

Li, Xinlong ; Hu, Yaoguang ; Ren, Weibo 等. / Collaborative maintenance decision-making on task assignments and vehicle route planning in agriculture. Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023. 编辑 / Wenjian Cai ; Guilin Yang ; Jun Qiu ; Tingting Gao ; Lijun Jiang ; Tianjiang Zheng ; Xinli Wang. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 1597-1602 (Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023).

@inproceedings{ea46c34a0f73497f969e1646468e7ae0,

title = "Collaborative maintenance decision-making on task assignments and vehicle route planning in agriculture",

abstract = "Considering the service shortage and service waste for service providers in busy season, this paper focus on the joint optimization problem of task assignment and vehicle route planning for geographically distributed agricultural machinery, which can be called multi-depot vehicle routing problem (MDVRP). We propose a collaborative maintenance decision-making model considering several key issues, including the service range of each service station, time window and priority of customers, the skill of service technicians, and maintenance time. We utilize particle swarm optimization (PSO) algorithm to optimize the task assignments and vehicle route planning simultaneously, and inspired by genetic algorithm (GA), we introduce variation mechanism to avoid plunging into local optimum. A large-scale real data study is presented to illustrate the superiority and feasibility of the collaborative service model compared with the traditional independent delivery model.",

keywords = "Multi-depot vehicle routing problem, OR in agriculture, collaborative maintenance, task assignment",

author = "Xinlong Li and Yaoguang Hu and Weibo Ren and Jinliang Li and Zixuan Zhang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 ; Conference date: 18-08-2023 Through 22-08-2023",

year = "2023",

doi = "10.1109/ICIEA58696.2023.10241860",

language = "English",

series = "Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1597--1602",

editor = "Wenjian Cai and Guilin Yang and Jun Qiu and Tingting Gao and Lijun Jiang and Tianjiang Zheng and Xinli Wang",

booktitle = "Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023",

address = "United States",

}

Li, X, Hu, Y, Ren, W, Li, J & Zhang, Z 2023, Collaborative maintenance decision-making on task assignments and vehicle route planning in agriculture. 在 W Cai, G Yang, J Qiu, T Gao, L Jiang, T Zheng & X Wang (编辑), Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023. Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023, Institute of Electrical and Electronics Engineers Inc., 页码 1597-1602, 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023, Ningbo, 中国, 18/08/23. https://doi.org/10.1109/ICIEA58696.2023.10241860

Collaborative maintenance decision-making on task assignments and vehicle route planning in agriculture. / Li, Xinlong; Hu, Yaoguang; Ren, Weibo 等.
Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023. 编辑 / Wenjian Cai; Guilin Yang; Jun Qiu; Tingting Gao; Lijun Jiang; Tianjiang Zheng; Xinli Wang. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 1597-1602 (Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Collaborative maintenance decision-making on task assignments and vehicle route planning in agriculture

AU - Li, Xinlong

AU - Hu, Yaoguang

AU - Ren, Weibo

AU - Li, Jinliang

AU - Zhang, Zixuan

PY - 2023

Y1 - 2023

N2 - Considering the service shortage and service waste for service providers in busy season, this paper focus on the joint optimization problem of task assignment and vehicle route planning for geographically distributed agricultural machinery, which can be called multi-depot vehicle routing problem (MDVRP). We propose a collaborative maintenance decision-making model considering several key issues, including the service range of each service station, time window and priority of customers, the skill of service technicians, and maintenance time. We utilize particle swarm optimization (PSO) algorithm to optimize the task assignments and vehicle route planning simultaneously, and inspired by genetic algorithm (GA), we introduce variation mechanism to avoid plunging into local optimum. A large-scale real data study is presented to illustrate the superiority and feasibility of the collaborative service model compared with the traditional independent delivery model.

AB - Considering the service shortage and service waste for service providers in busy season, this paper focus on the joint optimization problem of task assignment and vehicle route planning for geographically distributed agricultural machinery, which can be called multi-depot vehicle routing problem (MDVRP). We propose a collaborative maintenance decision-making model considering several key issues, including the service range of each service station, time window and priority of customers, the skill of service technicians, and maintenance time. We utilize particle swarm optimization (PSO) algorithm to optimize the task assignments and vehicle route planning simultaneously, and inspired by genetic algorithm (GA), we introduce variation mechanism to avoid plunging into local optimum. A large-scale real data study is presented to illustrate the superiority and feasibility of the collaborative service model compared with the traditional independent delivery model.

KW - Multi-depot vehicle routing problem

KW - OR in agriculture

KW - collaborative maintenance

KW - task assignment

UR - http://www.scopus.com/inward/record.url?scp=85173609789&partnerID=8YFLogxK

U2 - 10.1109/ICIEA58696.2023.10241860

DO - 10.1109/ICIEA58696.2023.10241860

M3 - Conference contribution

AN - SCOPUS:85173609789

T3 - Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

SP - 1597

EP - 1602

BT - Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

A2 - Cai, Wenjian

A2 - Yang, Guilin

A2 - Qiu, Jun

A2 - Gao, Tingting

A2 - Jiang, Lijun

A2 - Zheng, Tianjiang

A2 - Wang, Xinli

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

Y2 - 18 August 2023 through 22 August 2023

ER -

Li X, Hu Y, Ren W, Li J, Zhang Z. Collaborative maintenance decision-making on task assignments and vehicle route planning in agriculture. 在 Cai W, Yang G, Qiu J, Gao T, Jiang L, Zheng T, Wang X, 编辑, Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023. Institute of Electrical and Electronics Engineers Inc. 2023. 页码 1597-1602. (Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023). doi: 10.1109/ICIEA58696.2023.10241860

Collaborative maintenance decision-making on task assignments and vehicle route planning in agriculture

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