scholarly journals Key Performance Indicator Development for Ship-to-Shore Crane Performance Assessment in Container Terminal Operations

2019 ◽  
Vol 8 (1) ◽  
pp. 6
Author(s):  
Jung-Hyun Jo ◽  
Sihyun Kim
Keyword(s):  
Performance Indicators ◽  
Performance Indicator ◽  
Container Terminal ◽  
Key Performance Indicators ◽  
Management Tool ◽  
Mean Time Between Failures ◽  
Equipment Operation ◽  
Container Crane ◽  
Container Terminal Operations ◽  
Terminal Operations

Since the introduction of containerization in 1956, its growth has led to a corresponding growth in the role of container seaborne traffic in world trade. To respond to such growth, requirements for setting up the common standards in various kinds of container harbor equipment, and identifying performance indicators to assess container handling equipment performance have increased. Although the operating systems in ship-to-shore cranes may be different at each container terminal, the four main movements are the same: hoist, trolley, gantry, and boom. By determining in this work the hour metrics for each movement, it was possible to define the key performance indicators to be adopted and assess ship-to-shore crane performance. The research results identified that the mean time between failures is decreasing because of the accumulation of long-lasting heavyweight operations, while the number of maintenance of machine parts incidents and man-hours is steadily increasing. The key performance indicators offer a management tool to guide future ship-to-shore container crane inspection and the results provide useful insights for future container crane equipment operation improvements.

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>

Estimation of land-based emissions during container terminal operations in the Ambarlı Port, Turkey

2021 ◽  
pp. 147509022110522
Author(s):  
Gökhan Kara ◽  
Esma Gül Emecen Kara ◽  
Olgay Okşaş
Keyword(s):  
Diesel Engines ◽  
Emission Inventory ◽  
Performance Indicator ◽  
Container Terminal ◽  
Pollutant Emissions ◽  
Emission Inventories ◽  
Container Terminal Operations ◽  
Container Ports ◽  
Mobile Emission ◽  
Terminal Operations

Many types of mobile vehicles are used simultaneously in container terminal operations. Because most of these mobile vehicles have diesel engines, they emit a significant amount of pollutant emissions into the atmosphere during their operation. They are considered as land-based mobile emission sources (MobES) and should be included in the total port emission inventory. The emission inventory is a basic requirement in developing an environmental management strategy to improve emission control. In this context, this study aims to estimate the emission inventories of mobile vehicles used in terminal operations in the Ambarlı container ports located in the city of Istanbul, which is one of the most populous cities in the world. In this respect, the amounts of the emissions of all the container handling equipment with diesel engines in the port areas, including external trucks delivering/receiving containers to/from the port were estimated using an activity-based method. It has been found that approximately 42.39% of the total CO2 emission is owing to terminal tractors and the total annual CO2 value per TEU (Twenty-foot Equivalent Unit) of MobES is 0.01259 tons. The CO2 value per TEU can serve as a CO2 emission performance indicator for land-based MobES in process of the evaluation of emission inventories in container ports.

scholarly journals Key Performance Indicators Of Public Universities Based On Quality Assessment Criteria In Thailand

2011 ◽  
Vol 4 (9) ◽  
pp. 9 ◽  
Author(s):  
Kritsana Sukboonyasatit ◽  
Chaiwit Thanapaisarn ◽  
Lampang Manmar
Keyword(s):  
Quality Assessment ◽  
Performance Indicators ◽  
Public Universities ◽  
Performance Indicator ◽  
Key Performance Indicators ◽  
Public University ◽  
Key Performance Indicator ◽  
The Public ◽  
Corporate Goals ◽  
Strategic Context

The research objective was to develop public universities key performance indicators. Qualitative research and interviews were employed with each public universitys senior executive and quality assessors. The sample group was selected by the office of the public sector development commission and Thailands public universities can be separated into three groups based on their quality assessment score: 1) the high scoring group, 2) the moderate scoring group, and 3) the low scoring group. The results showed that the high scoring group had set a clear strategic context such as vision, mission, core values and corporate goals. In the case of the moderate scoring group it was found that some sections of the strategic context, such as the vision and mission, had already been defined, but corporate goals were yet to be determined. The strategic context was not clear and remained inactive for the low scoring group. In additional, each public university should establish two different sets of key performance indicators; first, a common key performance indicator which is aligned with the public university mission to enhance macro education, and which can be separated by five assessment perspectives as follows: 1) to produce graduates, 2) to promote and expand the universitys research, 3) to provide academic services, 4) to preserve and promote the arts, culture and heritage, and 5) to manage the university. The second specific key performance indicator should be aligned with the universitys strategic context, especially its vision and goals.

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