A method of constructing the maintenance service network under the redistricting and service provider demand sharing

Xiaoyang Zhen; Jingqian Wen; Yipu Yao; Yaoguang Hu

doi:10.1016/j.procir.2021.11.065

A method of constructing the maintenance service network under the redistricting and service provider demand sharing

Xiaoyang Zhen, Jingqian Wen, Yipu Yao, Yaoguang Hu^*

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

The imbalance of supply and demand of the service network has seriously affected the service quality. This paper proposes a method of constructing the maintenance service network under the redistricting and service provider demand sharing. The method considers redistricting service areas and demand shared among service providers to solve the problem of demand overload in service regions. The simulated annealing algorithm is used to solve the problem. Finally, the method is applied to a real case of the farm machinery field.

Original language	English
Pages (from-to)	387-392
Number of pages	6
Journal	Procedia CIRP
Volume	104
DOIs	https://doi.org/10.1016/j.procir.2021.11.065
Publication status	Published - 2021
Event	54th CIRP Conference on Manufacturing Ssystems, CMS 2021 - Patras, Greece Duration: 22 Sept 2021 → 24 Sept 2021

Keywords

Agricultural machinery
Demand shared
Maintenance service network
Redistricting
Supply
demand balance

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10.1016/j.procir.2021.11.065

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title = "A method of constructing the maintenance service network under the redistricting and service provider demand sharing",

abstract = "The imbalance of supply and demand of the service network has seriously affected the service quality. This paper proposes a method of constructing the maintenance service network under the redistricting and service provider demand sharing. The method considers redistricting service areas and demand shared among service providers to solve the problem of demand overload in service regions. The simulated annealing algorithm is used to solve the problem. Finally, the method is applied to a real case of the farm machinery field.",

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author = "Xiaoyang Zhen and Jingqian Wen and Yipu Yao and Yaoguang Hu",

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journal = "Procedia CIRP",

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AU - Zhen, Xiaoyang

AU - Wen, Jingqian

AU - Yao, Yipu

AU - Hu, Yaoguang

PY - 2021

Y1 - 2021

N2 - The imbalance of supply and demand of the service network has seriously affected the service quality. This paper proposes a method of constructing the maintenance service network under the redistricting and service provider demand sharing. The method considers redistricting service areas and demand shared among service providers to solve the problem of demand overload in service regions. The simulated annealing algorithm is used to solve the problem. Finally, the method is applied to a real case of the farm machinery field.

AB - The imbalance of supply and demand of the service network has seriously affected the service quality. This paper proposes a method of constructing the maintenance service network under the redistricting and service provider demand sharing. The method considers redistricting service areas and demand shared among service providers to solve the problem of demand overload in service regions. The simulated annealing algorithm is used to solve the problem. Finally, the method is applied to a real case of the farm machinery field.

KW - Agricultural machinery

KW - Demand shared

KW - Maintenance service network

KW - Redistricting

KW - Supply

KW - demand balance

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U2 - 10.1016/j.procir.2021.11.065

DO - 10.1016/j.procir.2021.11.065

M3 - Conference article

AN - SCOPUS:85121645975

SN - 2212-8271

VL - 104

SP - 387

EP - 392

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 54th CIRP Conference on Manufacturing Ssystems, CMS 2021

Y2 - 22 September 2021 through 24 September 2021

ER -

A method of constructing the maintenance service network under the redistricting and service provider demand sharing

Abstract

Keywords

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