Improving Ship Loading and Unloading Efficiency Through Optimizing Cargo Control Room Operations

Loading and unloading efficiency is a critical aspect of ship operations, which has a significant impact on operational costs, customer satisfaction, and the competitiveness of shipping companies. The Cargo Control Room (CCR) acts as a control center that optimizes the loading and unloading process through integrated technology and systems. However, the operation of CCR faces various challenges, such as technical issues, coordination between parties, and limited human resources (HR). This study aims to analyze the optimization strategy of CCR operations to improve the efficiency of loading and unloading on ships. The research method used is qualitative descriptive with a literature study approach, collecting data from journal articles, books, and related technical reports. The results show that CCR optimization can be achieved through the use of the latest technology such as automation, Internet of Things (IoT), and real-time monitoring systems, human resource training and development, and improved coordination between departments. The impact of this optimization includes reduced loading and unloading times, minimization of errors and operational risks, and an increase in overall productivity. The conclusion of this study confirms that technology integration, improvement of human resource competence, and good coordination are key factors in optimizing the operation of CCR. This study recommends the need for further empirical research to test the findings of literature studies as well as the implementation of technology and continuous training for CCR operators.

Authors

Institutions

Publication Details

Journal
Jurnal Cakrawala Akademika
Published
2025-03-26
DOI
https://doi.org/10.70182/jca.v1i6.7
Citations
1
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
1.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving Ship Loading and Unloading Efficiency Through Optimizing Cargo Control Room Operations

K.P. Suharyono S. Hadiningrat, Verry Albert Jekson Mardame Silalahi, Rico Suji Asmoro
1 citations
Jurnal Cakrawala Akademika
Advanced Manufacturing and Logistics Optimization
1.24
article

Improving Ship Loading and Unloading Efficiency Through Optimizing Cargo Control Room Operations

K.P. Suharyono S. Hadiningrat, Verry Albert Jekson Mardame Silalahi, Rico Suji Asmoro
article en
1 citations

Abstract

Loading and unloading efficiency is a critical aspect of ship operations, which has a significant impact on operational costs, customer satisfaction, and the competitiveness of shipping companies. The Cargo Control Room (CCR) acts as a control center that optimizes the loading and unloading process through integrated technology and systems. However, the operation of CCR faces various challenges, such as technical issues, coordination between parties, and limited human resources (HR). This study aims to analyze the optimization strategy of CCR operations to improve the efficiency of loading and unloading on ships. The research method used is qualitative descriptive with a literature study approach, collecting data from journal articles, books, and related technical reports. The results show that CCR optimization can be achieved through the use of the latest technology such as automation, Internet of Things (IoT), and real-time monitoring systems, human resource training and development, and improved coordination between departments. The impact of this optimization includes reduced loading and unloading times, minimization of errors and operational risks, and an increase in overall productivity. The conclusion of this study confirms that technology integration, improvement of human resource competence, and good coordination are key factors in optimizing the operation of CCR. This study recommends the need for further empirical research to test the findings of literature studies as well as the implementation of technology and continuous training for CCR operators.

Jurnal Cakrawala AkademikaVol. 1(6)
Institut Bisnis Nusantara (ID)
Openalex Percentile: Top 21%
Advanced Manufacturing and Logistics Optimization
1.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.