Optimizing the Allocation of Quay Cranes and Prime Movers for Container Handling Operations: A Data Envelopment Analysis Approach

Congestion arises due to the significant influx of containers and ships from various global locations, primarily resulting from inadequate resource allocation or inaccurate resource configuration. This paper examines the optimal configuration of quay cranes and prime movers required for a vessel to...

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Published in:Journal of Advanced Research in Applied Mechanics
Main Author: Aznam N.H.Z.; Khurizan N.S.N.; Awang N.; Yusoff N.S.M.; Moftar M.F.
Format: Article
Language:English
Published: Semarak Ilmu Publishing 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200881302&doi=10.37934%2faram.119.1.145161&partnerID=40&md5=7c47a0ad1eeff64e1d533126c02f74d4
id 2-s2.0-85200881302
spelling 2-s2.0-85200881302
Aznam N.H.Z.; Khurizan N.S.N.; Awang N.; Yusoff N.S.M.; Moftar M.F.
Optimizing the Allocation of Quay Cranes and Prime Movers for Container Handling Operations: A Data Envelopment Analysis Approach
2024
Journal of Advanced Research in Applied Mechanics
119
1
10.37934/aram.119.1.145161
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200881302&doi=10.37934%2faram.119.1.145161&partnerID=40&md5=7c47a0ad1eeff64e1d533126c02f74d4
Congestion arises due to the significant influx of containers and ships from various global locations, primarily resulting from inadequate resource allocation or inaccurate resource configuration. This paper examines the optimal configuration of quay cranes and prime movers required for a vessel to complete unloading and loading operations efficiently. Through simulation, the model generates performance metrics such as the average container waiting time, the average utilization of quay cranes and prime movers separately, and the number of containers handled within an observed time interval. The efficiency of handling equipment configurations is evaluated using the Charnes-Cooper-Rhodes Data Envelopment Analysis (CCR DEA) model and the Bi-Objective Multi-Criteria Data Envelopment Analysis (BiO-MCDEA). The optimal handling equipment configuration is then determined using the super-efficiency of both models. The model includes quay crane number, prime mover number and average container waiting time as inputs and the other three simulation performance measures and Gross Moves Per Hour (GMPH) for quay cranes and prime movers as outputs. Three quay cranes with fifteen prime movers are the best unloading and loading configuration for super-efficiency CCR DEA. Alternatively, super-efficiency BiO-MCDEA recommends two quay cranes with eighteen prime movers. The obtained results provide valuable insights for decision-makers to enhance terminal productivity and optimize handling equipment efficiency. © 2024, Semarak Ilmu Publishing. All rights reserved.
Semarak Ilmu Publishing
22897895
English
Article
All Open Access; Gold Open Access
author Aznam N.H.Z.; Khurizan N.S.N.; Awang N.; Yusoff N.S.M.; Moftar M.F.
spellingShingle Aznam N.H.Z.; Khurizan N.S.N.; Awang N.; Yusoff N.S.M.; Moftar M.F.
Optimizing the Allocation of Quay Cranes and Prime Movers for Container Handling Operations: A Data Envelopment Analysis Approach
author_facet Aznam N.H.Z.; Khurizan N.S.N.; Awang N.; Yusoff N.S.M.; Moftar M.F.
author_sort Aznam N.H.Z.; Khurizan N.S.N.; Awang N.; Yusoff N.S.M.; Moftar M.F.
title Optimizing the Allocation of Quay Cranes and Prime Movers for Container Handling Operations: A Data Envelopment Analysis Approach
title_short Optimizing the Allocation of Quay Cranes and Prime Movers for Container Handling Operations: A Data Envelopment Analysis Approach
title_full Optimizing the Allocation of Quay Cranes and Prime Movers for Container Handling Operations: A Data Envelopment Analysis Approach
title_fullStr Optimizing the Allocation of Quay Cranes and Prime Movers for Container Handling Operations: A Data Envelopment Analysis Approach
title_full_unstemmed Optimizing the Allocation of Quay Cranes and Prime Movers for Container Handling Operations: A Data Envelopment Analysis Approach
title_sort Optimizing the Allocation of Quay Cranes and Prime Movers for Container Handling Operations: A Data Envelopment Analysis Approach
publishDate 2024
container_title Journal of Advanced Research in Applied Mechanics
container_volume 119
container_issue 1
doi_str_mv 10.37934/aram.119.1.145161
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200881302&doi=10.37934%2faram.119.1.145161&partnerID=40&md5=7c47a0ad1eeff64e1d533126c02f74d4
description Congestion arises due to the significant influx of containers and ships from various global locations, primarily resulting from inadequate resource allocation or inaccurate resource configuration. This paper examines the optimal configuration of quay cranes and prime movers required for a vessel to complete unloading and loading operations efficiently. Through simulation, the model generates performance metrics such as the average container waiting time, the average utilization of quay cranes and prime movers separately, and the number of containers handled within an observed time interval. The efficiency of handling equipment configurations is evaluated using the Charnes-Cooper-Rhodes Data Envelopment Analysis (CCR DEA) model and the Bi-Objective Multi-Criteria Data Envelopment Analysis (BiO-MCDEA). The optimal handling equipment configuration is then determined using the super-efficiency of both models. The model includes quay crane number, prime mover number and average container waiting time as inputs and the other three simulation performance measures and Gross Moves Per Hour (GMPH) for quay cranes and prime movers as outputs. Three quay cranes with fifteen prime movers are the best unloading and loading configuration for super-efficiency CCR DEA. Alternatively, super-efficiency BiO-MCDEA recommends two quay cranes with eighteen prime movers. The obtained results provide valuable insights for decision-makers to enhance terminal productivity and optimize handling equipment efficiency. © 2024, Semarak Ilmu Publishing. All rights reserved.
publisher Semarak Ilmu Publishing
issn 22897895
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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