TY - JOUR
T1 - Container terminal landside operation analysis and discrete event simulation in container terminal in port
T2 - 3rd Indonesian Operations Research Association - International Conference on Operations Research 2018, IORA-ICOR 2018
AU - Nasution, A. R.
AU - Arviansyah,
N1 - Funding Information:
The presentation of this paper is funded by Universitas Indonesia under International Publication of Students Thesis Grant (Hibah PITTA) number: 1732/UN2.R3.1/HKP.05.00/2018
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2019/8/15
Y1 - 2019/8/15
N2 - This study discusses the landside operation and presents the application of Truck Appointment System (TAS) and lane segmentation strategy through discrete event simulation in Terminal 3 Ocean-going PT Pelabuhan Tanjung Priok. This study aims to analyze the operation planning system in Terminal 3 Ocean-going and identify problems that exist on terminal 3. This study also seeks to examine the landside operation process and offer alternative scenarios to solve the congestion problem in the terminal. Alternative scenarios provided are a combination of Truck Appointment System (TAS) and lane segmentation strategy. Truck Appointment Strategy (TAS) with 100% utilization is proved to reduce average total time in the system by 76% and reduce average total time in peak days by 88%, from 151.5 minutes to 38.4 minutes per truck. Truck Appointment System (TAS) is also proved to reduce queue length by 97%, from 162 trucks to 5 trucks.
AB - This study discusses the landside operation and presents the application of Truck Appointment System (TAS) and lane segmentation strategy through discrete event simulation in Terminal 3 Ocean-going PT Pelabuhan Tanjung Priok. This study aims to analyze the operation planning system in Terminal 3 Ocean-going and identify problems that exist on terminal 3. This study also seeks to examine the landside operation process and offer alternative scenarios to solve the congestion problem in the terminal. Alternative scenarios provided are a combination of Truck Appointment System (TAS) and lane segmentation strategy. Truck Appointment Strategy (TAS) with 100% utilization is proved to reduce average total time in the system by 76% and reduce average total time in peak days by 88%, from 151.5 minutes to 38.4 minutes per truck. Truck Appointment System (TAS) is also proved to reduce queue length by 97%, from 162 trucks to 5 trucks.
UR - http://www.scopus.com/inward/record.url?scp=85071143078&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/567/1/012033
DO - 10.1088/1757-899X/567/1/012033
M3 - Conference article
AN - SCOPUS:85071143078
VL - 567
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
SN - 1757-8981
IS - 1
M1 - 012033
Y2 - 20 September 2018 through 21 September 2018
ER -