scholarly journals Inland container depots effect for import container terminal performance at Koja container terminal, Jakarta based on optimization–simulation model

2018 ◽  
Author(s):  
Ferry Rusgiyarto ◽  
Ade Sjafruddin ◽  
Russ Bona Frazila ◽  
Suprayogi ◽  
Jzolanda Tsavalista Burhani
Keyword(s):  
Simulation Model ◽  
Container Terminal ◽  
Terminal Performance ◽  
Optimization Simulation ◽  
Container Depots ◽  
Import Container

scholarly journals Truck Appointment System for Cooperation between the Transport Companies and the Terminal Operator at Container Terminals

2020 ◽  
Vol 11 (1) ◽  
pp. 168
Author(s):  
Hyeonu Im ◽  
Jiwon Yu ◽  
Chulung Lee
Keyword(s):  
Large Scale ◽  
Container Terminal ◽  
Container Terminals ◽  
The Past ◽  
Cooperation Model ◽  
Appointment System ◽  
New Form ◽  
Truck Appointment System ◽  
Import Container ◽  
Very High

Despite the number of sailings canceled in the past few months, as demand has increased, the utilization of ships has become very high, resulting in sudden peaks of activity at the import container terminals. Ship-to-ship operations and yard activity at the container terminals are at their peak and starting to affect land operations on truck arrivals and departures. In response, a Truck Appointment System (TAS) has been developed to mitigate truck congestion that occurs between the gate and the yard of the container terminal. The vehicle booking system is developed and operated in-house at large-scale container terminals, but efficiency is low due to frequent truck schedule changes by the transport companies (forwarders). In this paper, we propose a new form of TAS in which the transport companies and the terminal operator cooperate. Numerical experiments show that the efficiency of the cooperation model is better by comparing the case where the transport company (forwarder) and the terminal operator make their own decision and the case where they cooperate. The cooperation model shows higher efficiency as there are more competing transport companies (forwarders) and more segmented tasks a truck can reserve.

scholarly journals A Simulation Model for Improving the Productivity of Container Handling in the Container Terminal

2004 ◽  
Vol 28 (4) ◽  
pp. 285-291
Author(s):  
Nam-Kyu Park ◽  
Sang-Wan Lee ◽  
Hyung-Rim Park ◽  
Hae-Kyoung Kwon
Keyword(s):  
Simulation Model ◽  
Container Terminal ◽  
Container Handling

scholarly journals Examples on Simulation Model

2021 ◽  
Vol 9 (12) ◽  
pp. 1976-1980
Author(s):  
Pooja B
Keyword(s):  
Simulation Model ◽  
Real Time ◽  
Flood Control ◽  
Simulation Software ◽  
Rainfall Forecasting ◽  
Flow Models ◽  
Runoff Modeling ◽  
River Reservoir ◽  
Optimization Simulation ◽  
Gate Control

Abstract: A new methodology was developed Further real-time determination gate control operations of a river-reservoir system to minimize flooding conditions. The methodology is based upon an optimization-simulation model approach interfacing the genetic algorithm within simulation software for short-term rainfall forecasting, rainfall–runoff modeling (HEC-HMS), and a one-dimensional (1D), two-dimensional (2D), and combined 1D and 2D combined unsteady flow models (HEC-RAS). Both realtime rainfall data from next-generation radar (NEXRAD) and gaging stations, and forecasted rainfall are needed to make gate control decisions (reservoir releases) in real-time so that at timet, rainfall is known and rainfall over the future timeperiod(∆t)totimet+ ∆t can be forecasted. This new model can be used to manage reservoir release schedules (optimal gate operations) before, during, and after a rainfall event. Through real-time observations and optimal gate controls, downstream water surface elevations are controlled to avoid exceedance of threshold flood levels at target locations throughout a riverreservoir system to minimize the damage. In an example application, an actual river reach with a hypothetical upstream flood control reservoir is modeled in real-time to test the optimization-simulation portion of the overall model. Keywords: Simulation – Random numbers- Steps for simulation – Problems.

scholarly journals Performance of the Semarang Container Terminal

2020 ◽  
Vol 9 (4) ◽  
pp. 2164-2167
Keyword(s):  
Performance Indicators ◽  
Container Terminal ◽  
Methodological Approach ◽  
Research Work ◽  
Container Terminals ◽  
Literature Study ◽  
Important Indicator ◽  
Major Function ◽  
Terminal Performance ◽  
Loading And Unloading

The number of container boxes handled at the container terminal dynamically fluctuates as a function of a number of parameters. The most prominent variables influencing are the Economics’ National Program, the location and trading characteristics of the terminal, and the land use programs of hinterlands. Further, it is one terminal could serve more than one quay simultaneously. This research was conducted in order to determine the optimal performance of container terminals, along with the utilities to the increase in container terminal services Semarang. The results are expected to reveal the existing problems related to the services of a container terminal, especially regarding the following matters: review and develop performance indicators container terminals that is optimized especially for Semarang container terminal (TPKS), knowing the performance level of the container terminal at TPKS utility, and knowing the number of containers optimal service units, ranging from dock to yard container based on the rate of arrival of containers in TPKS. The research methodology used in this study is as follows: conducting a literature study/library, in order to obtain an overview of problems faced by the Semarang container terminal (TPKS), data collection related to the performance of container terminal, processing and analyzing research data to obtain a technical description of the various parameters needed in evaluating the Container Terminal Performance Indicators, Optimal Value of the service unit loading and unloading containers, ships and goods flow forecasting, producing Container Terminal Performance Indicators, formulate conclusions and recommendations from the results obtained in the performance evaluation process and service optimization Container Terminal loading and unloading of containers. The container terminal performance is an important indicator to evaluate the operational continuity and smoothness, in fulfilling its major function in serving the transportation mechanism of goods. One method to evaluate the container terminal performance is to observe the service level and utility of this terminal. From the evaluation’s results, a program to improve and to enhance the service levels for the future could be designed. The methodological approach accessed in this research work includes BOR (Berth Occupancy Ratio) data collecting, data processing and analysis using multiple methods, and producing a conclusion. The results are also to typical research topics. The study yielded in a BOR for the period till 2015 based on a BOR mooring of 34 - 45 percent. The benefits of this research can be used to improve container terminal performance.

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