FOREMANS JOB SATISFACTION WITH THE COMPANY LOADING AND UNLOADING CONTAINERS IN DKI JAKARTA

The market share of sea transportation of goods in the world is eighty percent using containers. Indonesia is also one of the countries that use containers as a means of exporting, and importing goods. The high flow of containers must be supported by competitive human resources, and one of them is Foreman. The results of observations, and preliminary studies show that foremen feel dissatisfied at work. This encourages the need for an in-depth study on job satisfaction.This study aims to develop a model of job satisfaction for foremen in container loading and unloading companies through analysis of the influence of work stress, occupational health and safety (OHS), work competence on work motivation, and the impact of foreman job satisfaction on container loading and unloading companies in DKI Jakarta.This study uses a quantitative method with a descriptive approach The total population is 82 foremen. The data was processed using the Partial Least Square-Structural Equation Model (PLS-SEM).The results of the research based on descriptive statistics show thatForemans assessment of job satisfaction is good, and can still be improved. Based on causality, job stress has a positive, and insignificant effect on job satisfaction. Occupational health, and safety (OHS) have a negative, and insignificant effect on job satisfaction. Work competence has a positive and significant effect on job satisfaction. Work motivation has a positive and significant effect on job satisfaction.

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>

Evaluación de la productividad y eficiencia de las grúas en las operaciones de carga y descarga de contenedores en buques de una terminal portuaria / Evaluation of the productivity and efficiency of cranes in container loading and unloading operations on ships at a port terminal

La presente investigación tiene como objetivo evaluar la productividad y eficiencia de las grúas utilizadas en las operaciones de carga y descarga de contenedores en buques de una terminal portuaria. La metodología propuesta se basa en el análisis estadístico de los registros de operación de la terminal, con el fin de diseñar indicadores de medición que permitan evaluar la productividad y eficiencia de los equipos, durante el proceso de carga y descarga de contenedores. Para validar la metodología propuesta, se analizaron los 50,333 registros de operación de la empresa Altamira Terminal Portuaria durante el tercer trimestre del 2014. Los resultados obtenidos permiten identificar aquellos equipos que operan sobre los estándares de productividad esperados de los que no lo hacen.

A Study on Greedy Technique in Container Loading Problem and Knapsack Problem

The main aim of the paper is to use application of greedy algorithm in container loading problem and Knapsack problem. Greedy method gives an optimal solution to the problem by considering the inputs one at a time, checking to see if it can be included in the set of values which give an optimal solution and then check if it is the feasible solution. The Greedy algorithm could be understood very well with a well-known problem referred to as container loading problem and Knapsack problem. The basic Container Loading Problem can be defined as the problem of placing a set of boxes into the container respecting the geometric constraints: the boxes cannot overlap and cannot exceed the dimensions of the container. The knapsack problem is in combinatorial optimization problem. It appears as a sub problem in many, more complex mathematical models of real world problems.