The Evaluation of Container Terminal Efficiency Using by Cluster and Data Envelopment Analysis (DEA)

Acer, Aynur; Timor, Mehpare

doi:10.17093/alphanumeric.356455

Cited by 6 publications

(2 citation statements)

References 6 publications

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“…Obtained efficiency scores are used as adjustment factor. Acer and Timor [26] applied output-oriented DEA to maximize output with determined input level. They ensured homogeneity Single-Link Hierarchical Clustering and Wards Clustering (among clusters).…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated performance evaluation method study and performance based department ranking: a case study

2020

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Enterprise companies, which make future strategic plan, need to view overall performance. In this direction, monitoring decision-making unit (DMU) performances is a critical issue. Therefore, it should be fair and consistent performance evaluation and prepared open and clear reports. To handle with these requirements, this study focusses on establishing a comprehensive method of performance evaluations (PE). Five main stages exist as a framework of the study. Firstly, right PE tool are selected in terms of strategic frame of companies. In this study, we examine balanced scorecard (BSC) approach that considers not only financial but also non-financial topics to watch overall performance. BSC has key performance indicators (KPI) that show objectives and actualizations belonging to related DMU, and BSC also provides proper and summary reports including different perspectives. The next step is determination of KPI's weights. Analytic hierarchy process (AHP) is applied to determine KPI priorities. Because BSC evaluates DMU'S separately, it does not provide satisfied comparison among different DMU's. In here, we propose data envelopment analyses (DEA) that is linear program based non-parametric approach. However, DEA works correctly for only homogeneous DMU's. As a third step, classification process is applied to ensure homogeneity. Then, using BSC KPI's as outputs and DMU budgets as input, DEA model is run for each class. As a last step, we separate DMUs into categories using efficiency score obtained from fourth stage. To determine category numbers, Hierarchical Clustering Analyze (AHCA) method is used and group elements are selected with applying K-Means Clustering Analyze technique. At the end, a case study is given to show how developed model is applied within a company that uses only BSC tool for PE currently. It could be said that this integrated methodology is more efficient and reliable for decision-making process.

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Section: Literature Reviewmentioning

confidence: 99%

Integrated performance evaluation method study and performance based department ranking: a case study

2020

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“…It was concluded that there was no positive, significant and strong relationship between the terminal ownership and the efficiency in the study using the total amount of cargo handled per TEU as output. Acer and Timor (2017), the working port in Turkey using DEA and Clustering Analysis of operational efficiency analysis, they sort out the most efficient ports.…”

Section: Literaturementioning

confidence: 99%

A Survey of Data Envelopment Analysis in Container Terminals

Efecan

Temiz

2020

Mersin University Journal of Maritime Faculty

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In recent years, Data Envelopment Analysis (DEA) technique has been used quite frequently in determining container terminal efficiency. When the studies reviewed, conducted on the subject in the recent past, it is seen that the details such as the parameter on which the activity model focuses, sample selection, sample size and input-output selection have not yet been clarified enough, additionally, problems and confusion are encountered in practice. In this study, a critical analysis was carried out regarding the determinations in the use of the DEA technique, which is frequently used in the measurement of container terminal efficiency, and on which issues should be considered in order to establish the model better. In the consequences of the study, it was seen that data accessibility was an obstacle to reaching more robust results in efficiency analysis. It is very important to make evaluations between ports that are close to each other in terms of regional or infrastructure, demand and technological development in order to obtain more reliable and consistent results. Moreover, future studies should consider reliable inputs such as the number of equipment in the terminal that divided by two group, the terminal area, maximum depth, pier length.

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Performance Evaluation of Public Hospitals with Data Envelopment Analysis (DEA) Method

Ersoy,

Küsbeci

2023

The Journal of International Scientific Researches

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In recent years, the importance of health services has been increasing due to the improvement in people's quality of life, technological developments in the field of medicine and the aging of the population around the world. Hospitals, which are one of the main institutions of the health care system, are expected to reduce their expenditure values and improve their service quality. For this reason, health systems, and especially hospitals, need to constantly control their performance and provide quality service in order to identify and eliminate their inefficient resources. Although there are different methods used in the evaluation of efficiency in the field of health, Data Envelopment Analysis (DEA) is known as the most frequently used method. This study, it is aimed to carry out efficiency measurements of public hospitals for 81 provinces in Turkiye. In the study, efficiency analyzes were performed using input-oriented CCR and CCR-super-efficiency (SE). According to the results of the CCR model, 33 DMUs are efficient. and 48 DMUs are inefficient. Using the CCR-SE model, the efficient provinces were ranked. As a results of the CCR model, it has been determined which DMUs should be taken as a reference for inefficient DMUs to be efficient.

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The Evaluation of Container Terminal Efficiency Using by Cluster and Data Envelopment Analysis (DEA)

Cited by 6 publications

References 6 publications

Integrated performance evaluation method study and performance based department ranking: a case study

Integrated performance evaluation method study and performance based department ranking: a case study

A Survey of Data Envelopment Analysis in Container Terminals

Performance Evaluation of Public Hospitals with Data Envelopment Analysis (DEA) Method

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