Quay Container Research Articles

Analysis of the Effect of Quay Container Crane Available on Dwelling Time at Jakarta International Container Terminal

The efficiency of loading and unloading dwelling time at the port has been done a lot. The problem at PT JICT is that there has been a decrease in throughput for the last three years, this has an effect on operational performance. operational performance is a representation of the achievement of all targets, thus the company always aims to improve its operational performance. Another problem is that the terminal's operational equipment has begun to be obsolete, which hinders the loading and unloading operation time, the lack of operational equipment that supports the loading and unloading process. The operational equipment studied is the Quay Container Crane which is seen from the available condition. All of these problems will have an impact on dwelling time at PT JICT which can affect operational performance. This research is expected to provide recommendations to PT Jakarta International Container Terminal to prepare adequate operational equipment so that the resulting dwelling time is known. This research method uses a dynamic system model and validation test with behavior pattern test. The results of the dynamic system model validation obtained dwelling time between 2.79 - 4.56 days, mean error of 3% and standard deviation error of 11%. Maintenance of quay container cranes has an influence on unloading productivity which has an impact on dwelling time. Based on 60 data, the quay container crane available variable is seen based on quartile values consisting of quartile 1 (Q1), quartile 2 (Q2) and quartile 3 (Q3). In the quay container crane available variable, the dwelling time value in quartile one is 1.34 days, quartile two is 1.47 and quartile three is 1.51 and the dwelling time value in quartile one is 14 units, quartile two is 12 units and quartile three is 10 units.

Pengaruh Performa Quay Container Crane dan Penerapan System Single Cycle dan Dual Cycle Terhadap Bongkar Muat Peti Kemas di KSO Peti Kemas Koja Jakarta

Since 2012 Koja Jakarta Container Terminal has a target of unloading and loading 1 million containers. To get the desired target, KSO Koja Container Terminal immediately took quick steps by upgrading and adding several tools to support performance so that it could be more optimal in carrying out loading and unloading activities such as upgrading several CCs from Post Panamax grade to Super Post Panamax. Along with the many containers that are unloaded or loaded at TPK KOJA, and the market that competes between container terminals with each other. The management of Koja must increase the target size of unloading and loading containers by quay container crane (QCC) or what we often call Box Crane per Hours (BCH), but on the other hand with the demands of TPK KOJA management that unloading and loading 1 million containers, many tools in the field and at the dock are forced to work hours with maintenance that has not been scheduled properly resulting in congestion of loading and unloading equipment. The type of research used in this study is qualitative descriptive analysis, qualitative descriptive research is aimed at describing and describing existing phenomena, both natural and human engineering, which pay more attention to the characteristics, quality, relationships between activities. In addition, descriptive research does not provide treatment, manipulation or alteration of the variables studied, but describes a condition as it is. So the results of the Quay container crane performance research at TPK Koja from the author's observation, in the process of container loading and unloading activities at TPK Koja still found inhibiting factors. The effect of the Dual Cycle Operation system in loading and unloading at TPK KOJA cannot be determined the box crane unit per hour produced, because in this case the management of TPK KOJA is still in the trial stage of the system.

QUAY CONTAINER CRANE PRODUCTIVITY EFFECTIVENESS ANALYSIS (CASE STUDY JAKARTA INTERNATIONAL CONTAINER TERMINAL)

The purpose of this study is to determine the effectiveness and productivity of Quay Container Crane (QCC) work through the value of OEE (availability, performance, quality) and identify losses affecting the OEE value of QCC. The method used is a explorative and descriptive analysis, which exposes availability, performance and quality of Quay Container Crane based on actual data and information by collecting, compiling, classifying and analysing data and information about the effectiveness and productivity of Quay Container Crane. The results of the OEE are analysed using the six big losses method to find the loss factor, root cause analysis using the Fishbone diagram and make improvement recommendations using the 5 why analysis method. Based on the research results, the OEE value of Quay Container Crane affected by the loss factor which are reduce speed losses, breakdown losses and idling and stoppage losses. The root of the problem comes from various causes, among others, many breakdown on spreaders, the maintenance schedule is still not correct, the operator's competence and knowledge are still lacking, and the technical problems in the Quay Container Cranes.

The Effect of Training and Work Motivation on Operator Performance During the COVID-19 Pandemic

This research was conducted on a quay container crane operator at KSO TPK Koja. The quantitative research method was collecting data on 28 questionnaires and using SPSS version 21 applications to analyze data. The study used the validity, reliability, normality and hypothesis test. This study aimed to identify the influence of training and work motivation on operator performance during the COVID-19 pandemic at KSO TPK Koja. The result of this study showed that training and work motivation have a positive influence on operator performance, but training had no significant effect on operator performance. In addition, work motivation had a significant influence on operator performance.
 Keywords: Training, Work Motivation, Operator Performance, COVID-19

Methods and means of early vibration diagnostics of rotating components of mechanisms of quay container handlers

The Paton Welding Journal, 2022, №01. International Scientific-Technical and Production Journal «The Paton Welding Journal» «The Paton Welding Journal» has been published monthly since 2000 in English, ISSN 0957-798X. «The Paton Welding Journal» is a cover-to-cover English translation of the «Avtomaticheskaya Svarka» (Automatic Welding) journal. The «Avtomaticheskaya Svarka» journal has been published monthly since 1948 in Russian, ISSN 005-111X.

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

<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>

State Identification of Hoisting Motors Based on Association Rules for Quayside Container Crane

Quay container crane hoisting motor is a complex system, and the characteristics of long-term evolution and change of running status of there is a rule, and use it. Through association rules analysis, this paper introduced the similarity in association rules, and quay container crane hoisting motor status identification. Finally validated by an example, some rules change amplitude is small, regular monitoring, not easy to find, but it is precisely because of these small changes led to mechanical failure. Therefore, using the association rules change in monitoring the motor status has the very strong practical significance.

Dynamic Responses of High Speed Quay Container Cranes

The dynamic responses is very important characteristic quay crane.Container transportation is the worldwide used and deeply change the style of international trade and economy. The quay crane can significantly increase the efficiency of unload container vessel. This paper focuses on the dynamic responses of the quay crane (or QC for short). The objective is to figure out the real dynamic responses and of QC. We present the efficiently method compute dynamic responses by the virtual prototype technology [1]. The QC is modeled by software ADMAS and the simulation results are verified by the experiments. It can provide a direction to decrease the dynamic responses of QC [2].

Research on New Structural Quay Container Crane

The method to improve the loading and unloading efficiency of container ships was elaborated in this paper. New structure of bridge support liftable quay container crane, dual-jacklift quay container crane, dual-lifting quay container crane, high support base quay container crane and elevator quay container crane was applied to promote the performance of quay container crane. The working principle and characteristic of those new quay container cranes were analyzed in details.

Skew control of a quay container crane

In this paper, the skew control of the load (container) in the quay crane used in the dockside of a container terminal is investigated. The mathematical model of the 3-dimensional (3D) motions of the load is first derived. The container hooked to a spreader is suspended by four ropes in air. When the container is accelerated by the trolley or is disturbed by winds, it will make a rotational motion (trim, list, and skew) as well as a sway motion in the vertical plane. In such a case, the position of the container becomes difficult to control accurately due to the rotational motion even with the sway motion under control. This paper proposes an input shaping technique for the skew control based on the 3D dynamics of the container. The adopted skew control system uses four electric motors to vary the length of the four ropes individually. Simulation results show the effectiveness of the proposed system in controlling the skew motion.

Design of an Automated Container-Handling System in a Seaport Terminal Considering Operating Machine Performance

To provide a highly efficient and automated container-handling system in a seaport terminal, it is necessary to take into account the performance of operating machines, such as quay container cranes, automated guided vehicles, and rubber-tired gantry cranes, in addition to their fleet sizes. In this paper, we introduce these parameters as design objectives. However, this is a serious combinatorial design problem that consists of the objectives presented above. Moreover, it is not always true that a terminal system, in which larger numbers of machines are used with upgraded operation performance, obtains higher throughput. It thus becomes a challenge to identify a design parameter with an impact on the system throughput and to find the most reasonable combination of design parameters. In this issue, we apply a design strategy to this challenge and then modify a previously proposed hybrid design methodology. As a case study for the system design, we determine the combinatorial design solutions to meet given demands. Finally, we show the effectiveness of the system design in consideration of the machine performance.