A Constrained Fuzzy Knowledge-Based System for the Management of Container Yard Operations

Ali Hadi Hussain Joma Abbas, Ammar Al Bazi, Vasile Palade

Research output: Contribution to journalArticle

1 Citation (Scopus)
24 Downloads (Pure)

Abstract

The management of container yard operations is considered by yard operators to be a very challenging task due to the many uncertainties inherent in such operations.
The storage of the containers is one of those operations that require proper management for the efficient utilisation of the yard, requiring rapid retrieval time and a minimum number of re-handlings. The main challenge is when containers of a different size, type, or weight need to be stored in a yard that holds a number of pre-existing containers. This challenge becomes even more complex when the date and time for the departure of the containers are unknown, as is the case when the container is collected by a third-party logistics company without any prior notice being given. The aim of this study is to develop a new system for the management of container yard operations
that takes into consideration a number of factors and constraints that occur in a real-life situation. One of these factors is the duration of stay for the topmost containers of each stack, when the containers are stored. Because the
duration of stay for containers in a yard varies dynamically over time, an ‘ON/OFF’ strategy is proposed to activate/deactivate the duration of stay factor constraint if the length of stay for these containers varies significantly over
time. A number of tools and techniques are utilised for developing the proposed system including: discrete event simulation for the modelling of container storage and retrieval operations, a fuzzy know ledge-based model for
the stack allocation of containers, and a heuristic algorithm called ‘neighbourhood’ for the container retrieval operation. Results show that by adopting the proposed ‘ON/OFF’ strategy, 5% of the number of re-handlings, 2.5% of the total retrieval time, 6.6% of the total re-handling time and
42% of the average waiting time per truck are reduced.
Original languageEnglish
Pages (from-to)1205-1223
Number of pages19
JournalInternational Journal of Fuzzy Systems
Volume20
Issue number4
Early online date25 Jan 2018
DOIs
Publication statusPublished - Apr 2018

Fingerprint

Knowledge-based Systems
Knowledge based systems
Container
Fuzzy Systems
Containers
Retrieval
Vary
Discrete event simulation
System Simulation
Heuristic algorithms
Discrete Event Simulation
Date
Waiting Time
Heuristic algorithm
Logistics
Trucks

Bibliographical note

The final publication is available at Springer via http://dx.doi.org/10.1007/s40815-018-0448-9

Keywords

  • Constrained fuzzy knowledge-based system
  • ‘ON/OFF’ strategy
  • ‘Neighbourhood’ algorithm 
  • Container yard operations

Cite this

A Constrained Fuzzy Knowledge-Based System for the Management of Container Yard Operations. / Abbas, Ali Hadi Hussain Joma; Al Bazi, Ammar; Palade, Vasile.

In: International Journal of Fuzzy Systems , Vol. 20, No. 4, 04.2018, p. 1205-1223.

Research output: Contribution to journalArticle

@article{f567d268dc86404aa12984328a5235ba,
title = "A Constrained Fuzzy Knowledge-Based System for the Management of Container Yard Operations",
abstract = "The management of container yard operations is considered by yard operators to be a very challenging task due to the many uncertainties inherent in such operations.The storage of the containers is one of those operations that require proper management for the efficient utilisation of the yard, requiring rapid retrieval time and a minimum number of re-handlings. The main challenge is when containers of a different size, type, or weight need to be stored in a yard that holds a number of pre-existing containers. This challenge becomes even more complex when the date and time for the departure of the containers are unknown, as is the case when the container is collected by a third-party logistics company without any prior notice being given. The aim of this study is to develop a new system for the management of container yard operationsthat takes into consideration a number of factors and constraints that occur in a real-life situation. One of these factors is the duration of stay for the topmost containers of each stack, when the containers are stored. Because theduration of stay for containers in a yard varies dynamically over time, an ‘ON/OFF’ strategy is proposed to activate/deactivate the duration of stay factor constraint if the length of stay for these containers varies significantly overtime. A number of tools and techniques are utilised for developing the proposed system including: discrete event simulation for the modelling of container storage and retrieval operations, a fuzzy know ledge-based model forthe stack allocation of containers, and a heuristic algorithm called ‘neighbourhood’ for the container retrieval operation. Results show that by adopting the proposed ‘ON/OFF’ strategy, 5{\%} of the number of re-handlings, 2.5{\%} of the total retrieval time, 6.6{\%} of the total re-handling time and42{\%} of the average waiting time per truck are reduced.",
keywords = "Constrained fuzzy knowledge-based system , ‘ON/OFF’ strategy, ‘Neighbourhood’ algorithm , Container yard operations",
author = "Abbas, {Ali Hadi Hussain Joma} and {Al Bazi}, Ammar and Vasile Palade",
note = "The final publication is available at Springer via http://dx.doi.org/10.1007/s40815-018-0448-9",
year = "2018",
month = "4",
doi = "10.1007/s40815-018-0448-9",
language = "English",
volume = "20",
pages = "1205--1223",
journal = "International Journal of Fuzzy Systems",
issn = "1562-2479",
publisher = "Elsevier",
number = "4",

}

TY - JOUR

T1 - A Constrained Fuzzy Knowledge-Based System for the Management of Container Yard Operations

AU - Abbas, Ali Hadi Hussain Joma

AU - Al Bazi, Ammar

AU - Palade, Vasile

N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/s40815-018-0448-9

PY - 2018/4

Y1 - 2018/4

N2 - The management of container yard operations is considered by yard operators to be a very challenging task due to the many uncertainties inherent in such operations.The storage of the containers is one of those operations that require proper management for the efficient utilisation of the yard, requiring rapid retrieval time and a minimum number of re-handlings. The main challenge is when containers of a different size, type, or weight need to be stored in a yard that holds a number of pre-existing containers. This challenge becomes even more complex when the date and time for the departure of the containers are unknown, as is the case when the container is collected by a third-party logistics company without any prior notice being given. The aim of this study is to develop a new system for the management of container yard operationsthat takes into consideration a number of factors and constraints that occur in a real-life situation. One of these factors is the duration of stay for the topmost containers of each stack, when the containers are stored. Because theduration of stay for containers in a yard varies dynamically over time, an ‘ON/OFF’ strategy is proposed to activate/deactivate the duration of stay factor constraint if the length of stay for these containers varies significantly overtime. A number of tools and techniques are utilised for developing the proposed system including: discrete event simulation for the modelling of container storage and retrieval operations, a fuzzy know ledge-based model forthe stack allocation of containers, and a heuristic algorithm called ‘neighbourhood’ for the container retrieval operation. Results show that by adopting the proposed ‘ON/OFF’ strategy, 5% of the number of re-handlings, 2.5% of the total retrieval time, 6.6% of the total re-handling time and42% of the average waiting time per truck are reduced.

AB - The management of container yard operations is considered by yard operators to be a very challenging task due to the many uncertainties inherent in such operations.The storage of the containers is one of those operations that require proper management for the efficient utilisation of the yard, requiring rapid retrieval time and a minimum number of re-handlings. The main challenge is when containers of a different size, type, or weight need to be stored in a yard that holds a number of pre-existing containers. This challenge becomes even more complex when the date and time for the departure of the containers are unknown, as is the case when the container is collected by a third-party logistics company without any prior notice being given. The aim of this study is to develop a new system for the management of container yard operationsthat takes into consideration a number of factors and constraints that occur in a real-life situation. One of these factors is the duration of stay for the topmost containers of each stack, when the containers are stored. Because theduration of stay for containers in a yard varies dynamically over time, an ‘ON/OFF’ strategy is proposed to activate/deactivate the duration of stay factor constraint if the length of stay for these containers varies significantly overtime. A number of tools and techniques are utilised for developing the proposed system including: discrete event simulation for the modelling of container storage and retrieval operations, a fuzzy know ledge-based model forthe stack allocation of containers, and a heuristic algorithm called ‘neighbourhood’ for the container retrieval operation. Results show that by adopting the proposed ‘ON/OFF’ strategy, 5% of the number of re-handlings, 2.5% of the total retrieval time, 6.6% of the total re-handling time and42% of the average waiting time per truck are reduced.

KW - Constrained fuzzy knowledge-based system

KW - ‘ON/OFF’ strategy

KW - ‘Neighbourhood’ algorithm 

KW - Container yard operations

U2 - 10.1007/s40815-018-0448-9

DO - 10.1007/s40815-018-0448-9

M3 - Article

VL - 20

SP - 1205

EP - 1223

JO - International Journal of Fuzzy Systems

JF - International Journal of Fuzzy Systems

SN - 1562-2479

IS - 4

ER -