Minimizing operational costs by restructuring the blood sample collection chain

Amir Elalouf; Sharon Hovav; Dmitry Tsadikovich; Liron Yedidsion

doi:10.1016/j.orhc.2015.08.004

Minimizing operational costs by restructuring the blood sample collection chain

Amir Elalouf, Sharon Hovav, Dmitry Tsadikovich, Liron Yedidsion

Bar-Ilan University, Technion - Israel Institute of Technology

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

Abstract

This work focuses on improving the structure of a three-echelon blood sample collection chain operated by a health maintenance organization. The chain comprises clinics, where samples are collected from patients; centrifuge centers, where blood is separated into its components; and a centralized testing laboratory, where samples are analyzed. Under the assumption that some clinics can be provided with in-house centrifugation facilities instead of being assigned to centrifuge centers, a problem is formulated for identifying how many centrifuge centers should be established in order to optimally support the collection process. An exact dynamic programming (DP) algorithm and a fully polynomial time approximation scheme (FPTAS) algorithm are designed to solve this problem.

Original language	English
Pages (from-to)	81-93
Number of pages	13
Journal	Operations Research for Health Care
Volume	7
DOIs	https://doi.org/10.1016/j.orhc.2015.08.004
State	Published - 1 Dec 2015

Keywords

Blood sample collection
FPTAS
Facility location
Logistics

All Science Journal Classification (ASJC) codes

General Health Professions
Medicine (miscellaneous)
Management Science and Operations Research

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10.1016/j.orhc.2015.08.004

Cite this

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title = "Minimizing operational costs by restructuring the blood sample collection chain",

abstract = "This work focuses on improving the structure of a three-echelon blood sample collection chain operated by a health maintenance organization. The chain comprises clinics, where samples are collected from patients; centrifuge centers, where blood is separated into its components; and a centralized testing laboratory, where samples are analyzed. Under the assumption that some clinics can be provided with in-house centrifugation facilities instead of being assigned to centrifuge centers, a problem is formulated for identifying how many centrifuge centers should be established in order to optimally support the collection process. An exact dynamic programming (DP) algorithm and a fully polynomial time approximation scheme (FPTAS) algorithm are designed to solve this problem.",

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AU - Elalouf, Amir

AU - Hovav, Sharon

AU - Tsadikovich, Dmitry

AU - Yedidsion, Liron

PY - 2015/12/1

Y1 - 2015/12/1

N2 - This work focuses on improving the structure of a three-echelon blood sample collection chain operated by a health maintenance organization. The chain comprises clinics, where samples are collected from patients; centrifuge centers, where blood is separated into its components; and a centralized testing laboratory, where samples are analyzed. Under the assumption that some clinics can be provided with in-house centrifugation facilities instead of being assigned to centrifuge centers, a problem is formulated for identifying how many centrifuge centers should be established in order to optimally support the collection process. An exact dynamic programming (DP) algorithm and a fully polynomial time approximation scheme (FPTAS) algorithm are designed to solve this problem.

AB - This work focuses on improving the structure of a three-echelon blood sample collection chain operated by a health maintenance organization. The chain comprises clinics, where samples are collected from patients; centrifuge centers, where blood is separated into its components; and a centralized testing laboratory, where samples are analyzed. Under the assumption that some clinics can be provided with in-house centrifugation facilities instead of being assigned to centrifuge centers, a problem is formulated for identifying how many centrifuge centers should be established in order to optimally support the collection process. An exact dynamic programming (DP) algorithm and a fully polynomial time approximation scheme (FPTAS) algorithm are designed to solve this problem.

KW - Blood sample collection

KW - FPTAS

KW - Facility location

KW - Logistics

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DO - 10.1016/j.orhc.2015.08.004

M3 - مقالة

SN - 2211-6923

VL - 7

SP - 81

EP - 93

JO - Operations Research for Health Care

JF - Operations Research for Health Care

ER -

Minimizing operational costs by restructuring the blood sample collection chain

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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