Naval Antarctic Supply Chain Modeling and Simulation

Jairo R. Coronado-Hernandez; Wilson A. Rios-Angulo; Jefferson De Avila; Camilo E. Segovia; Gustavo Gatica; Francisco Jones Ponce De Leon

doi:10.1016/j.procs.2024.06.129

Naval Antarctic Supply Chain Modeling and Simulation

Jairo R. Coronado-Hernandez, Wilson A. Rios-Angulo, Jefferson De Avila, Camilo E. Segovia, Gustavo Gatica, Francisco Jones Ponce De Leon

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

Abstract

In this research work, a discrete event simulation model (DES) is developed as a digital twin of the supply chain of Antarctic campaigns in a navy ship. This simulation aims to describe the system with all its details and complexity and, through this, support decision-making that identifies a supply chain configuration that significantly improves efficiency based on costs and operating times. For this, the Anylogistix simulation tool generates scenarios and visualizes results through charts and key performance indicators.

Original language	English
Pages (from-to)	1023-1028
Number of pages	6
Journal	Procedia Computer Science
Volume	238
DOIs	https://doi.org/10.1016/j.procs.2024.06.129
Publication status	Published - 2024
Event	15th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2024 / The 7th International Conference on Emerging Data and Industry 4.0, EDI40 2024 - Hasselt, Belgium Duration: 23 Apr 2024 → 25 Apr 2024

Keywords

Antarctic Supply Chain
Anylogistix
Discrete Event Simulation DES
Navy

ASJC Scopus subject areas

General Computer Science

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10.1016/j.procs.2024.06.129

Cite this

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title = "Naval Antarctic Supply Chain Modeling and Simulation",

abstract = "In this research work, a discrete event simulation model (DES) is developed as a digital twin of the supply chain of Antarctic campaigns in a navy ship. This simulation aims to describe the system with all its details and complexity and, through this, support decision-making that identifies a supply chain configuration that significantly improves efficiency based on costs and operating times. For this, the Anylogistix simulation tool generates scenarios and visualizes results through charts and key performance indicators.",

keywords = "Antarctic Supply Chain, Anylogistix, Discrete Event Simulation DES, Navy",

author = "Coronado-Hernandez, {Jairo R.} and Rios-Angulo, {Wilson A.} and {De Avila}, Jefferson and Segovia, {Camilo E.} and Gustavo Gatica and {De Leon}, {Francisco Jones Ponce}",

note = "Publisher Copyright: {\textcopyright} 2024 Elsevier B.V.. All rights reserved.; 15th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2024 / The 7th International Conference on Emerging Data and Industry 4.0, EDI40 2024 ; Conference date: 23-04-2024 Through 25-04-2024",

year = "2024",

doi = "10.1016/j.procs.2024.06.129",

language = "English",

volume = "238",

pages = "1023--1028",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Naval Antarctic Supply Chain Modeling and Simulation

AU - Coronado-Hernandez, Jairo R.

AU - Rios-Angulo, Wilson A.

AU - De Avila, Jefferson

AU - Segovia, Camilo E.

AU - Gatica, Gustavo

AU - De Leon, Francisco Jones Ponce

PY - 2024

Y1 - 2024

N2 - In this research work, a discrete event simulation model (DES) is developed as a digital twin of the supply chain of Antarctic campaigns in a navy ship. This simulation aims to describe the system with all its details and complexity and, through this, support decision-making that identifies a supply chain configuration that significantly improves efficiency based on costs and operating times. For this, the Anylogistix simulation tool generates scenarios and visualizes results through charts and key performance indicators.

AB - In this research work, a discrete event simulation model (DES) is developed as a digital twin of the supply chain of Antarctic campaigns in a navy ship. This simulation aims to describe the system with all its details and complexity and, through this, support decision-making that identifies a supply chain configuration that significantly improves efficiency based on costs and operating times. For this, the Anylogistix simulation tool generates scenarios and visualizes results through charts and key performance indicators.

KW - Antarctic Supply Chain

KW - Anylogistix

KW - Discrete Event Simulation DES

KW - Navy

UR - http://www.scopus.com/inward/record.url?scp=85199488627&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2024.06.129

DO - 10.1016/j.procs.2024.06.129

M3 - Conference article

AN - SCOPUS:85199488627

SN - 1877-0509

VL - 238

SP - 1023

EP - 1028

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 15th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2024 / The 7th International Conference on Emerging Data and Industry 4.0, EDI40 2024

Y2 - 23 April 2024 through 25 April 2024

ER -

Naval Antarctic Supply Chain Modeling and Simulation

Abstract

Keywords

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