.png){kind=icon}
.png){kind=icon}
Return
Loading and Unloading Process Time Planning in Terminal Using Queue Theory
.png){kind=icon}
PRE
AI
DOI：.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Inefficient cargo handling at regional ports leads to extended dwelling times, increased logistics costs, and local traffic congestion. This study aims to model and analyze the loading and unloading process at Sinjai Port, Indonesia, to identify bottlenecks and propose efficiency improvements. Using queuing theory, we applied a multi-server, multiphase model to operational data collected from 320 freight vehicles. Results indicate the port handles five main cargo types: staple goods (41%), stone (24%), sand (22%), textiles (8%), and general cargo (5%). The queuing analysis revealed that the average time a vehicle spends in the system (Ws) is highest for staple goods at 0.7 minutes, identifying it as the critical bottleneck. General cargo and stone had the fastest service times at 0.4 minutes. We conclude that targeted measures, such as streamlining administration for staple goods, enhancing specific equipment, and integrating information systems, are necessary to improve efficiency at Sinjai Port. This study demonstrates the utility of queuing models for diagnosing specific operational inefficiencies in mixed-cargo regional ports.
Keywords:
freight terminal
loading and unloading
queuing system
Journal
E
IF:
0.8
Papers:
20
Citations:
0
Organization
No organization information available