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273433

Emergency Locations Problems with Stochastic Parameters

Article

Last updated: 29 Dec 2024

Subjects

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Tags

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Abstract

The problem of determining the optimum locations for the emergency facility services in the case in which three possible routes between every pair of customers and service centre was discussed assuming deterministic values for the parameters of the problem. In this paper, we introduce a description and solution algorithm for this problem focusing on the case in which the values of the spatial separations among the service centres and the customers are not deterministic but stochastic. The introduced solution is depending on hybridizing the Monte-Carlo Simulation technique with the Max-Separable optimization technique

DOI

10.21608/msamsj.2022.273433

Keywords

Emergency, Location, Optimization, Stochastic, Simulation

Authors

First Name

Assem

Last Name

Tharwat

MiddleName

Tharwat

Affiliation

American University in Emirates

Email

assem.tharwat@aue.ae

City

-

Orcid

0000-0003-4307-2111

First Name

Ihab

Last Name

A. F. El-Khodary

MiddleName

-

Affiliation

Faculty of Computers and Information Cairo University, Egypt

Email

e.elkhodary@fci-cu.edu.eg

City

-

Orcid

0000-0003-4307-2111

First Name

Emad

Last Name

Hassan

MiddleName

El-Din H

Affiliation

Faculty of Management Sciences October University for Modern Sciences and Arts, Egypt

Email

eeldin@msa.edu.eg

City

-

Orcid

0000-0002-0036-634X

Volume

1

Article Issue

2

Related Issue

38123

Issue Date

2022-11-01

Receive Date

2022-12-10

Publish Date

2022-11-01

Page Start

99

Page End

117

Print ISSN

2974-3028

Online ISSN

2974-3036

Link

https://msamsj.journals.ekb.eg/article_273433.html

Detail API

https://msamsj.journals.ekb.eg/service?article_code=273433

Order

273,433

Type

Original Article

Type Code

2,535

Publication Type

Journal

Publication Title

MSA-Management Sciences Journal

Publication Link

https://msamsj.journals.ekb.eg/

MainTitle

Emergency Locations Problems with Stochastic Parameters

Details

Type

Article

Created At

23 Jan 2023