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.

Key Performance Indicators Analysis for Quay Container Crane Performance Assessment (Case Study at Jakarta International Container Terminal)

2021 ◽  
Vol 2 (2) ◽  
pp. 115
Author(s):  
Mufti Imam Pekih ◽  
Adelina Sembiring ◽  
Sugeng Santoso
Keyword(s):  
Performance Indicators ◽  
Performance Indicator ◽  
Container Terminal ◽  
Management Tool ◽  
Container Port ◽  
Key Performance Indicator ◽  
Heavy Load ◽  
Container Loading ◽  
Container Crane ◽  
Loading And Unloading

<p><span lang="PT-BR">PT Jakarta International Container Terminal (JICT) is the largest container port in Indonesia. Currently, JICT capacity is 2.5 million TEUs (Twenty-foot Equivalent Units) per year, it continues to strive to improve international services and is supported by adequate container loading and unloading equipment. The requirement to establish common standards in different types of container port equipment and identify performance indicators to assess the performance of container handling equipment has increased. Although the Quay Container Crane (QCC) operating system may be different at each container terminal, there are similarities in its main movements, namely: Main Hoist, Trolley, Gantry, and Boom. By knowing the clock metric for each movement, it is possible to determine the Key Performance Indicator (KPI) that has been adopted and assess the performance of the Quay Container Crane (QCC). The results of the study identified that the value of MMBF (Mean Move Between Failures) decreased due to the accumulation of long-lasting heavy load operations, while the number of maintenance activities for machine parts and working hours continued to increase. Key Performance Indicator (KPI) as a management tool can guide QCC inspections and the results can provide useful insights for improving the performance of equipment and container loading and unloading operations in the future.</span></p>

A Petri Net Model and its Simulation for Straddle Carrier Direct-System Operation in a Container Terminal

2017 ◽  
Vol 862 ◽  
pp. 202-207 ◽  
Author(s):  
Putu Hangga Nan Prayoga ◽  
Takeshi Shinoda
Keyword(s):  
Petri Net ◽  
Performance Indicators ◽  
Container Terminal ◽  
Idle Time ◽  
System Operation ◽  
Direct System ◽  
Efficient Management ◽  
Terminal Performance ◽  
Gantry Cranes ◽  
Terminal Equipment

This paper presents a petri net model for examining effectiveness of straddle carrier direct-system operation. Dynamic of operation is addressed by formal petri net model that affiliates types of operation and sequences of motion for various agents in container terminal. An interchange model in the petri net is introduced to represent transloading process that controls the flow of containers between agents. In addition, simulation model was developed to examine the deployment scenarios of gantry cranes, straddle carriers and truck slots at transfer point. The results suggest terminal performance indicators such as level of productivity, waiting time and equipment’s idle time for each deployment scenarios which is beneficial as decision support systems for efficient management of terminal equipment.

scholarly journals Optimization Method for Container Quay Crane Operation Based on Energy Saving

2018 ◽  
Vol 53 ◽  
pp. 01011
Author(s):  
Liu Leilei ◽  
Sun Lei ◽  
Zhao Dadi
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Container Terminal ◽  
Optimization Method ◽  
Container Terminals ◽  
Energy Utilization ◽  
Quay Cranes ◽  
Actual Operation ◽  
Loading And Unloading ◽  
Reducing Energy

This paper studies the energy utilization of the quay crane, one of the major energy using equipment for the container terminal. We establish an optimization model for the loading and unloading of the quay crane, use the genetic algorithm to solve it, and verify the validity of the model by actual operation data of container terminals. The results show that the model has a significant effect on reducing energy consumption of quay cranes.

Towards A Decision Support System for Optimization of Container Placement in a Container Terminal

2017 ◽  
Vol 8 (3) ◽  
pp. 59-72
Author(s):  
Zakaria Bendaoud ◽  
Khadidja Yachba
Keyword(s):  
Decision Support ◽  
Transportation Network ◽  
Container Terminal ◽  
Container Terminals ◽  
Placement Problem ◽  
Buffer Zones ◽  
Solution Approach ◽  
Dynamic Constraints ◽  
Loading And Unloading ◽  
Mode Of Transport

Maritime transport moves a majority of the goods and global trade around the globe. This mode of transport involves loading and unloading of containers at ports. Upon arrival at a port, the ships remain inactive during the operations of loading and unloading. The terminal operator receives a schedule indicating the dates of loading and unloading of containers and their locations in the storage areas. Once berthing takes place, ships are unloaded by gantry cranes to the handling area, where the containers are then collected for transfer to storage areas or buffer zones. Container terminals are essential inter-modal interfaces for the worldwide transportation network. An optimal location for a container terminal is very important for the operators and companies as it can minimize the number of unnecessary movements within the storage area and the terminal, which can reduce transportation costs. In this work, the authors propose a container placement problem and a solution approach through a model for decision support that can solved and optimized for the storage space available. In other words, a model that minimizes the total number of unnecessary movements, while respecting the dynamic constraints of space and time.

scholarly journals Optimization of the terminal operating mode during the formation of a container block train

2021 ◽  
Vol 264 ◽  
pp. 05025
Author(s):  
Marufdjan Rasulov ◽  
Masud Masharipov ◽  
Azizbek Ismatullaev
Keyword(s):  
Container Terminal ◽  
Operating Mode ◽  
Container Terminals ◽  
Gantry Crane ◽  
Traffic Flows ◽  
Container Shipping ◽  
Technological Parameters ◽  
Transport Services ◽  
Loading And Unloading

Currently, container shipping plays an important role in international logistics. Terminals handle containers between different modes of transport and are a key element in supply chains. The quality of transport services, in general, depends on the technical and technological parameters of container terminals. At the same time, the task is to optimize the operating mode of the container terminal to reduce logistics costs. This article presents the results of a study of the traffic flows of terminals adjacent to the Tashkent regional railway junction stations, obtained based on timing observations on the unloading of containers arriving at the terminal by road for shipment by container trains. Based on these observations, the regularities of the distribution of the probabilities of the arrival of containers at the terminal and the time of servicing vehicles by a gantry crane were established. With the help of the established patterns, the main indicators were selected that characterize the quality of the container terminal functioning. A mathematical model has been developed and an algorithm for finding the optimal operating mode of a container terminal when forming a container block train. As the results of calculations have shown, the volume of logistics costs for the operation of a container terminal depends on the type and quantity of used handling equipment and the number of supply of fitting wagons to loading and unloading routes.

scholarly journals Adaptive Autotuning Mathematical Approaches for Integrated Optimization of Automated Container Terminal

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Meisu Zhong ◽  
Yongsheng Yang ◽  
Yamin Zhou ◽  
Octavian Postolache
Keyword(s):  
Programming Model ◽  
Container Terminal ◽  
Operation Mode ◽  
Pso Algorithm ◽  
Container Terminals ◽  
Automated Guided Vehicles ◽  
Mixed Integer ◽  
Integrated Scheduling ◽  
Loading And Unloading ◽  
Unloading Time

With the development of automated container terminals (ACTs), reducing the loading and unloading time of operation and improving the working efficiency and service level have become the key point. Taking into account the actual operation mode of loading and unloading in ACTs, a mixed integer programming model is adopted in this study to minimize the loading and unloading time of ships, which can optimize the integrated scheduling of the gantry cranes (QCs), automated guided vehicles (AGVs), and automated rail-mounted gantries (ARMGs) in automated terminals. Various basic metaheuristic and improved hybrid algorithms were developed to optimize the model, proving the effectiveness of the model to obtain an optimized scheduling scheme by numerical experiments and comparing the different performances of algorithms. The results show that the hybrid GA-PSO algorithm with adaptive autotuning approaches by fuzzy control is superior to other algorithms in terms of solution time and quality, which can effectively solve the problem of integrated scheduling of automated container terminals to improve efficiency.

scholarly journals SIMULATION MODELLING AS A DRY CARGO TERMINALS’ CALCULATION TOOL

2018 ◽  
pp. 100-108 ◽  
Author(s):  
Andrei Stanislavovich Tkachenko ◽  
German Borisovich Popov ◽  
Alexander Viktorovich Kirichenko ◽  
Alexander Lvovich Kuznetsov
Keyword(s):  
Performance Indicators ◽  
Simulation Modelling ◽  
Container Terminals ◽  
Technological Parameters ◽  
Cargo Handling ◽  
Modelling Method ◽  
Terminal Performance ◽  
Proposed Model ◽  
Wide Range ◽  
Operational Processes

Making decisions based on intuitive analytical methods is becoming a dangerous practice in modern conditions of competition and high capital capacity of cargo terminals operation. Such methods are allowing to evaluate an average of performance indicators for cargo terminals at very best, while their market stability is becoming gradually more dependent on the pattern of distribution around the averages. This research proposes a method of cargo terminal performance analysis, based on the simulation modelling. The importance of focusing on cargo flows through the terminal, instead of modelling only the operational processes of a certain cargo terminal, is emphasized. The paper describes the approach to creating such models of distribution around the averages. The proposed model structure is targeted at a wide range of "dry port" type container terminals. There have been analyzed all possible traffic flows which require different capacities and technological resources for handling at the terminal. A standard description of the freight routes passing through the terminal as a simulated model provides low labor-intensiveness of planning experiments which helps easily change the cargo handling flow chart of the terminal analyzed. The efficiency of the simulation modelling method for calculating technological parameters of dry cargo terminals has been approved in the course of implementing several large projects.

scholarly journals A New Simulation Model for a Comprehensive Evaluation of Yard Truck Deployment Strategies at Marine Container Terminals

2016 ◽  
Vol 1 (3) ◽  
Author(s):  
Maxim A. Dulebenets
Keyword(s):  
Simulation Model ◽  
Performance Indicators ◽  
Comprehensive Evaluation ◽  
Container Terminal ◽  
Container Terminals ◽  
Gantry Crane ◽  
Deployment Strategy ◽  
Efficient Planning ◽  
Port Congestion ◽  
Marine Container Terminal

Taking into account increasing volumes of the international seaborne trade and increasing port congestion, marine container terminal operators have to improve efficiency of their operations in order to provide timely service of vessels and avoid product delivery delays to customers. This paper focuses on improvement of container transfer operations between the seaside and the marshaling yard and proposes five yard truck deployment strategies. Performance of the considered marine container terminal is evaluated under each one of the yard truck deployment strategies via simulation. Different performance indicators are estimated to determine how the suggested yard truck deployment strategies will affect all equipment types, involved in container handling and transfer. Results from the extensive simulation experiments showcase that all five yard truck deployment strategies provide similar values of vessel service and quay crane performance indicators, while the shortest distance based yard truck deployment strategy yields superior gantry crane and yard truck performance indicators. The worst values of performance indicators are recorded for the random yard truck deployment strategy. Furthermore, the developed simulation model can serve as an efficient planning tool for marine container terminal operators and enhance productivity of the available equipment.

A MULTI-CRITERIA EVALUATION OF CONTAINER TERMINAL TECHNOLOGIES APPLYING THE COPRAS-G METHOD

Transport ◽  
2012 ◽  
Vol 27 (4) ◽  
pp. 364-372 ◽  
Author(s):  
Jurgita Barysienė
Keyword(s):  
Container Terminal ◽  
Assessment Method ◽  
Container Terminals ◽  
Expert Assessment ◽  
Efficient Technology ◽  
Terminal Performance ◽  
Multi Criteria Evaluation ◽  
Transport Chain ◽  
Container Handling ◽  
Technical Systems

Over the recent years, the usage of containers has dramatically increased; subsequently, port container terminals annually serve more and more intensive flows, which leads to the necessity to find the ways of increasing terminal performance in order to achieve that a growing number of containers would be expeditiously served. The minimization of container handling duration in a terminal would reduce the total transportation time and create preconditions for an increase in the efficiency of the transport chain. The article deals with the above introduced problem on the basis of research on container handling operations applying different technologies when the objective function is the optimization of the container handling cycle that includes assessing the parameters of terminal technical systems and determining the most rational container handling technology. For this purpose, the system of the factors directly influencing the container handling cycle and expert assessment estimating the weight of each factor of the overall handling duration have been determined. With reference to the obtained results and adapted multi-attribute assessment method COPRAS-G, the evaluation of traditional terminal technologies was performed thus determining the most efficient technology under supposed conditions.

Container port throughput analysis and active management using control theory

2021 ◽  
pp. 147509022110208
Author(s):  
Cuong Truong Ngoc ◽  
Xiao Xu ◽  
Hwan-Seong Kim ◽  
Duy Anh Nguyen ◽  
Sam-Sang You
Keyword(s):  
Control Theory ◽  
Time Series Data ◽  
Sliding Mode ◽  
Container Terminal ◽  
Three Dimensional ◽  
Maritime Transportation ◽  
Container Terminals ◽  
Active Management ◽  
Dynamical Analysis ◽  
Series Data

This paper deals with three-dimensional (3D) model of competitive Lotka-Volterra equation to investigate nonlinear dynamics and control strategy of container terminal throughput and capacity. Dynamical behaviors are intensely explored by using eigenvalue evaluation, bifurcation analysis, and time-series data. The dynamical analysis is to show the stability with bifurcation of the competition and collaboration of multiple container terminals in the maritime transportation. Based on the chaotic analysis, the sliding mode control theory has been utilized for optimization of port operations under disruptions. Extensive numerical simulations have been conducted to validate the efficacy and reliability of the presented control algorithms. Particularly, the closed-loop system has been assessed through chaotic suppression and synchronization strategies for port management. Finally, the presented fundamental techniques can be utilized to provide managerial insights and solutions on efficient seaport operations that allow more timely and cost-effective decision making for port authorities in such a highly competitive environment.

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