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


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.

Publication DOI: https://doi.org/10.24086/ICAFS2023/paper.903
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: Copyright the Authors. This work is licensed under a Creative Commons Attribution 3.0 License.
Event Title: The 4th International Scientific Conference on Administrative and Financial Sciences
Event Type: Other
Event Location: Cihan University-Erbil
Event Dates: 2023-05-03 - 2023-05-04
Uncontrolled Keywords: component,fuzzy logic optimization,container yard operations,neighbourhood heuristic algorithm
Last Modified: 06 Dec 2023 13:09
Date Deposited: 01 Aug 2023 09:14
Full Text Link:
Related URLs: https://confere ... /paper/view/903 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2023-07-01
Authors: Al-Bazi, Dr Ammar (ORCID Profile 0000-0002-5057-4171)
Al-Salami, Qusay H.
Abbas, Ali
Jerjees, Zina



Version: Published Version

License: Creative Commons Attribution

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