Stochastic location-allocation modelling for emergency mobile blood collection

Xilin Zhang; Xiao Liu; Xiang Song; Meimei Zheng

doi:10.1016/j.ifacol.2019.11.345

Stochastic location-allocation modelling for emergency mobile blood collection

Xilin Zhang, Xiao Liu, Xiang Song, Meimei Zheng

Research output: Contribution to journal › Article › peer-review

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Abstract

As an important humanitarian relief material after disaster, blood has its distinguishing characteristics like perishability and time-sensitivity. During the post-disaster emergency blood collection, the location and allocation of mobile blood collecting facilities directly influence the timely supply of blood. This paper proposes a two-stage bi-objective mixed integer location-allocation model for mobile blood collecting facilities. An augmented 휀-constraint combined with Lagrangian relaxation method is applied. Finally numerical experiments based on blood collection process in Shanghai is provided.

Original language	English
Pages (from-to)	1114-1119
Journal	IFAC-PapersOnLine
Volume	52
Issue number	13
DOIs	https://doi.org/10.1016/j.ifacol.2019.11.345
Publication status	Published - 25 Dec 2019
Event	9th IFAC Conference Manufacturing Modelling, Management and Control - Berlin, Germany Duration: 28 Aug 2019 → 30 Aug 2019

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10.1016/j.ifacol.2019.11.345

Xilin_Zhang_paper
X. Zhang, X. Liu, X. Song & M. Zheng. 'Stochastic Location-allocation Modelling for Emergency Mobile Blood Collection'. IFAC-PapersOnLine, 52(13), pp. 1114-1119. DOI: 10.1016/j.ifacol.2019.11.345. © 2019 the authors. This work has been accepted to IFAC for publication under a Creative Commons Licence CC-BY-NC-ND.
Accepted author manuscript (Post-print), 663 KBLicence: CC BY-NC-ND

Presentation to MIM 2019
Xiang Song (Speaker)
28 Aug 2019 → 30 Aug 2019
Activity: Talk or presentation types › Oral presentation

Cite this

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title = "Stochastic location-allocation modelling for emergency mobile blood collection",

abstract = "As an important humanitarian relief material after disaster, blood has its distinguishing characteristics like perishability and time-sensitivity. During the post-disaster emergency blood collection, the location and allocation of mobile blood collecting facilities directly influence the timely supply of blood. This paper proposes a two-stage bi-objective mixed integer location-allocation model for mobile blood collecting facilities. An augmented 휀-constraint combined with Lagrangian relaxation method is applied. Finally numerical experiments based on blood collection process in Shanghai is provided.",

author = "Xilin Zhang and Xiao Liu and Xiang Song and Meimei Zheng",

year = "2019",

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doi = "10.1016/j.ifacol.2019.11.345",

language = "English",

volume = "52",

pages = "1114--1119",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

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AU - Zhang, Xilin

AU - Liu, Xiao

AU - Song, Xiang

AU - Zheng, Meimei

PY - 2019/12/25

Y1 - 2019/12/25

N2 - As an important humanitarian relief material after disaster, blood has its distinguishing characteristics like perishability and time-sensitivity. During the post-disaster emergency blood collection, the location and allocation of mobile blood collecting facilities directly influence the timely supply of blood. This paper proposes a two-stage bi-objective mixed integer location-allocation model for mobile blood collecting facilities. An augmented 휀-constraint combined with Lagrangian relaxation method is applied. Finally numerical experiments based on blood collection process in Shanghai is provided.

AB - As an important humanitarian relief material after disaster, blood has its distinguishing characteristics like perishability and time-sensitivity. During the post-disaster emergency blood collection, the location and allocation of mobile blood collecting facilities directly influence the timely supply of blood. This paper proposes a two-stage bi-objective mixed integer location-allocation model for mobile blood collecting facilities. An augmented 휀-constraint combined with Lagrangian relaxation method is applied. Finally numerical experiments based on blood collection process in Shanghai is provided.

U2 - 10.1016/j.ifacol.2019.11.345

DO - 10.1016/j.ifacol.2019.11.345

M3 - Article

SN - 2405-8963

VL - 52

SP - 1114

EP - 1119

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 13

T2 - 9th IFAC Conference Manufacturing Modelling, Management and Control

Y2 - 28 August 2019 through 30 August 2019

ER -

Stochastic location-allocation modelling for emergency mobile blood collection

Abstract

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