A System Based on Fuzzy Logic to Manage Operations in Container Yards

Dr Ammar Al-Bazi; Qusay H. Al-Salami; Ali Abbas; Zina Jerjees

doi:10.24086/ICAFS2023/paper.903

A System Based on Fuzzy Logic to Manage Operations in Container Yards

Dr Ammar Al-Bazi^*, Qusay H. Al-Salami, Ali Abbas, Zina Jerjees

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

This article focuses on the assignment of arrived containers to pre-existing stacks stored in one of the container yards, particularly when the containers' date
of departure and time are unknown. This becomes more difficult when different-sized, typed, and weighted containers needs be stored in pre-existing containers yard.
The main objective is to create a Fuzzy Knowledge-Based System (FKB_CYM) that considers practical factors and limitations such as container quantity per stack and customer, type, size, and weight. Various tools and methodologies are used, including Discrete Event (DE), Fuzzy Knowledge-Based Modelling (FKBM), and a
Neighborhood Algorithm (NA). The paper thoroughly discusses and evaluates the system's findings.

Original language	English
Title of host publication	The 4th International Conference on Administrative & Financial Sciences
Pages	88-95
Number of pages	8
DOIs	https://doi.org/10.24086/ICAFS2023/paper.903
Publication status	Published - 1 Jul 2023
Event	The 4th International Scientific Conference on Administrative and Financial Sciences - Cihan University-Erbil Duration: 3 May 2023 → 4 May 2023 https://conferences.cihanuniversity.edu.iq/index.php/AFS/ISCAFS/index

Conference

Conference	The 4th International Scientific Conference on Administrative and Financial Sciences
Period	3/05/23 → 4/05/23
Internet address	https://conferences.cihanuniversity.edu.iq/index.php/AFS/ISCAFS/index

Bibliographical note

Copyright the Authors. This work is licensed under a Creative Commons Attribution 3.0 License.

Keywords

component
fuzzy logic optimization
container yard operations
neighbourhood heuristic algorithm

Access to Document

10.24086/ICAFS2023/paper.903Licence: CC BY 3.0

Cihan University_903-2866-1-PBFinal published version, 724 KBLicence: CC BY 3.0

Cite this

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title = "A System Based on Fuzzy Logic to Manage Operations in Container Yards",

abstract = "This article focuses on the assignment of arrived containers to pre-existing stacks stored in one of the container yards, particularly when the containers' date of departure and time are unknown. This becomes more difficult when different-sized, typed, and weighted containers needs be stored in pre-existing containers yard. The main objective is to create a Fuzzy Knowledge-Based System (FKB_CYM) that considers practical factors and limitations such as container quantity per stack and customer, type, size, and weight. Various tools and methodologies are used, including Discrete Event (DE), Fuzzy Knowledge-Based Modelling (FKBM), and a Neighborhood Algorithm (NA). The paper thoroughly discusses and evaluates the system's findings. ",

keywords = "component, fuzzy logic optimization, container yard operations, neighbourhood heuristic algorithm",

author = "Al-Bazi, {Dr Ammar} and Al-Salami, {Qusay H.} and Ali Abbas and Zina Jerjees",

note = "Copyright the Authors. This work is licensed under a Creative Commons Attribution 3.0 License.; The 4th International Scientific Conference on Administrative and Financial Sciences ; Conference date: 03-05-2023 Through 04-05-2023",

year = "2023",

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doi = "10.24086/ICAFS2023/paper.903",

language = "English",

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AU - Al-Bazi, Dr Ammar

AU - Al-Salami, Qusay H.

AU - Abbas, Ali

AU - Jerjees, Zina

N1 - Copyright the Authors. This work is licensed under a Creative Commons Attribution 3.0 License.

PY - 2023/7/1

Y1 - 2023/7/1

N2 - This article focuses on the assignment of arrived containers to pre-existing stacks stored in one of the container yards, particularly when the containers' date of departure and time are unknown. This becomes more difficult when different-sized, typed, and weighted containers needs be stored in pre-existing containers yard. The main objective is to create a Fuzzy Knowledge-Based System (FKB_CYM) that considers practical factors and limitations such as container quantity per stack and customer, type, size, and weight. Various tools and methodologies are used, including Discrete Event (DE), Fuzzy Knowledge-Based Modelling (FKBM), and a Neighborhood Algorithm (NA). The paper thoroughly discusses and evaluates the system's findings.

AB - This article focuses on the assignment of arrived containers to pre-existing stacks stored in one of the container yards, particularly when the containers' date of departure and time are unknown. This becomes more difficult when different-sized, typed, and weighted containers needs be stored in pre-existing containers yard. The main objective is to create a Fuzzy Knowledge-Based System (FKB_CYM) that considers practical factors and limitations such as container quantity per stack and customer, type, size, and weight. Various tools and methodologies are used, including Discrete Event (DE), Fuzzy Knowledge-Based Modelling (FKBM), and a Neighborhood Algorithm (NA). The paper thoroughly discusses and evaluates the system's findings.

KW - component

KW - fuzzy logic optimization

KW - container yard operations

KW - neighbourhood heuristic algorithm

UR - https://conferences.cihanuniversity.edu.iq/index.php/AFS/ISCAFS/paper/view/903

U2 - 10.24086/ICAFS2023/paper.903

DO - 10.24086/ICAFS2023/paper.903

M3 - Conference publication

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BT - The 4th International Conference on Administrative & Financial Sciences

T2 - The 4th International Scientific Conference on Administrative and Financial Sciences

Y2 - 3 May 2023 through 4 May 2023

ER -

A System Based on Fuzzy Logic to Manage Operations in Container Yards

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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