An efficiency analysis of cargo-handling operations at container terminals

Luna, Jorge H.; Mar-Ortiz, Julio; Gracia, María D.; Ramírez, Dionicio Morales

doi:10.1057/s41278-017-0074-8

Cited by 15 publications

(9 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Numerous studies of factors affecting productivity and efficiency in container terminals have been conducted [9][10][11], but the results have rarely emphasized analyzing the CHEs' operations and performance that inherently influence the container terminals' performance. These scare analyses are attributed to a matter of data availability [12]. This practice is in line with the field survey of this study, in which very few data have been recorded and/or reservedly made public due to the terminals' privacy policies.…”

Section: Introductionsupporting

confidence: 74%

“…This practice is in line with the field survey of this study, in which very few data have been recorded and/or reservedly made public due to the terminals' privacy policies. The recent related work of Jorge H. Luna et al [12] used the data-envelopment analysis (DEA) technique to assess the efficiency of CHEs' operations, thereby the findings indicated that spending more on hours in CHE operations of a containership could decrease the probability of providing an efficient terminal service. However, the DEA technique is criticized due to its measurement based on benchmarking [13], which does not take into account specific aspects, such as the maximum production capacity of the equipment of the CHE system [14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Empirical Performance Measurement of Cargo Handling Equipment in Vietnam Container Terminals

Pham

Nguyen

2022

Logistics

View full text Add to dashboard Cite

Background: Cargo-handling equipment (CHE) plays a vital role in maintaining the efficiency of a highly-worked container terminal. Methods: This study is aimed to analyze the CHEs’ performance, which is conducted based on a contextual application of the overall equipment-effectiveness (OEE) technique and data collected from a field survey in 14 container terminals in Vietnam. Results: The findings reveal that the CHEs are operated incompatibly with their actual capacity due to low performance. Also, the findings clarified the unproductive exploitation of container terminals and low actual terminal throughput since the capacity-designed terminals are currently operating above their actual capacity. Conclusions: The application of the OEE index for groups of CHE equipment is an origin for the impact assessment of the overall performance between the groups of CHEs’ equipment, thereby proposing management tools for supporting the improvement of the CHEs and container terminals’ performance in Vietnam.

show abstract

Section: Introductionsupporting

confidence: 74%

Section: Introductionmentioning

confidence: 99%

Empirical Performance Measurement of Cargo Handling Equipment in Vietnam Container Terminals

Pham

Nguyen

2022

Logistics

View full text Add to dashboard Cite

show abstract

“…Many scholars have launched abundant discussions about PSAME in CTLS, whether for the single resource allocation or the integrated scheduling [1][2][3]. With the continuous development of terminal handling technology and logistics service objects, the key issues are discussed constantly.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Moreover, the PSAME usually possess the strong characteristics of dynamicity, nonlinearity, coupling, and complexity (DNCC) whether for local scheduling or synergic decision making. Therefore, the PSAME for CTLS have been the difficult points and hot spots of complex logistics systems, especially under the industry background that container ships and terminals are increasingly large-scale and green and the new logistics alliances are emerging constantly [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Container Terminal Logistics Generalized Computing Architecture and Green Initiative Computational Pattern Performance Evaluation

Song

2019

Information

View full text Add to dashboard Cite

Container terminals are the typical representatives of complex supply chain logistics hubs with multiple compound attributes and multiple coupling constraints, and their operations are provided with the strong characteristics of dynamicity, nonlinearity, coupling, and complexity (DNCC). From the perspective of computational logistics, we propose the container terminal logistics generalized computing architecture (CTL-GCA) by the migration, integration, and fusion of the abstract hierarchy, design philosophy, execution mechanism, and automatic principles of computer organization, computing architecture, and operating system. The CTL-GCA is supposed to provide the problem-oriented exploration and exploitation elementary frameworks for the abstraction, automation, and analysis of green production at container terminals. The CTL-GCA is intended to construct, evaluate, and improve the solution to planning, scheduling, and decision at container terminals, which all are nondeterministic polynomial hard problems. Subsequently, the logistics generalized computational pattern recognition and performance evaluation of a practical container terminal service case study is launched by the qualitative and quantitative approach from the sustainable perspective of green production. The case study demonstrates the application, utilization, exploitation, and exploration of CTL-GCA preliminarily, and finds the unsustainable patterns of production at the container terminal. From the above, we can draw the following conclusions. For one thing, the CTL-GCA makes a definition of the abstract and automatic running architecture of logistics generalized computation for container terminals (LGC-CT), which provides an original framework for the design and implementation of control and decision mechanism and algorithm. For another, the CTL-GCA can help us to investigate the roots of DNCC thoroughly, and then the CTL-GCA makes for conducting the efficient and sustainable running pattern recognition of LGC-CT. It is supposed to provide a favorable guidance and supplement to define, design, and implement the agile, efficient, sustainable, and robust task scheduling and resource allocation for container terminals by computational logistics whether in the strategy level or the tactical one.

show abstract

“…Erol and Başar (2015) investigated marine accidents that occurred in the search and rescue (SAR) area of Turkey through a total of 1,247 accident reports covering the period from 2001 to 2009. suggested a regression tree-based zero-inflated negative binomial approach to evaluate marine accidents. Apart from marine accidents, studies using the decision tree method are generally on safety issues (Tsou, 2019), cargo operations (Thill and Venkitasubramanian, 2015;Wu et al, 2017;Luna et al, 2018), smart vessels (Guo et al, 2015;, customer retention (Lin et al, 2017), fuel consumption (Coraddu et al, 2017(Coraddu et al, , 2018, scheduling (Bodunov et al, 2018) and human resources (Saeed et al, 2017). Table 1 shows the studies that analysed marine accidents using logistical regression and decision tree methods.…”

mentioning

confidence: 99%

Decision Tree and Logistic Regression Analysis to Explore Factors Contributing to Harbour Tugboat Accidents

2020

View full text Add to dashboard Cite

As tugboats interact very closely with ships in restricted waters, the possibility of accidents increases in these operations. Despite the high accident possibility, there is a gap in studies on tugboat accidents. This study aims to analyse accidents involving tugboats using data mining. For this purpose, a tugboat accidents dataset consisting of a total of 496 accident records for the period from 2008 to 2019 was collected. Logistic regression and decision tree algorithms were implemented to the dataset. The results revealed that tugboat propulsion type is the most important and influential factor in the severity of tugboat accidents. The inferences drawn from these results could be beneficial for tugboat operators and port authorities in enhancing their awareness of the factors affecting tugboat accidents. In addition, the outputs of this study can be a reference for management units in developing strategies for preventing tugboat accidents and can also be used in effective planning for practicable prevention programmes and practices.

show abstract

An efficiency analysis of cargo-handling operations at container terminals

Cited by 15 publications

References 29 publications

Empirical Performance Measurement of Cargo Handling Equipment in Vietnam Container Terminals

Empirical Performance Measurement of Cargo Handling Equipment in Vietnam Container Terminals

Container Terminal Logistics Generalized Computing Architecture and Green Initiative Computational Pattern Performance Evaluation

Decision Tree and Logistic Regression Analysis to Explore Factors Contributing to Harbour Tugboat Accidents

Contact Info

Product

Resources

About