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Performance Evaluation of Airports During the COVID-19 Pandemic

100%
Ersoy Y.
Gospodarka Narodowa. The Polish Journal of Economics
|
2021
|
vol. 308
|
issue 4
23-53
PL
Globalizacja, handel międzynarodowy, turystyka oraz postęp gospodarczy i technologiczny przyczyniły się do rozwoju branży lotniczej. By móc skutecznie rywalizować w globalnie konkurencyjnym środowisku, porty lotnicze muszą efektywnie wykorzystywać swoje zasoby i dokonywać oceny swoich wyników. W przypadku portów lotniczych szeroko stosowaną metodą oceny wyników jest Data Envelopment Analysis (DEA). Niniejsze badanie miało na celu określenie wyników i pozycji rankingowej wybranych głównych międzynarodowych portów lotniczych w 2019 r. i I kwartale 2020 r. za pomocą metody DEA, a także metod TOPSIS i EDAS. Analiza efektywności została przeprowadzona z wykorzystaniem modeli CCR-DEA. Następnie dokonano oceny wyników alternatywnych za pomocą metod TOPSIS i EDAS. Ranking lotnisk został natomiast opracowany na podstawie uzyskanych wyników badań przeprowadzonych trzema metodami: DEA, TOPSIS i EDAS. Badanie wykazało, że zastosowanie do oceny wydajności portów lotniczych metody DEA wraz z metodami Multi-Criteria Decision-Making (MCDM) takimi jak TOPSIS i EDAS, pozwala na uzyskanie pełnego i czytelnego rankingu jednostek decyzyjnych (DMU).
EN
Globalisation, international trade, tourism, and economic and technological advances have contributed to the development of the aviation industry. In a globally competitive environment, airports need to use their resources efficiently and evaluate their performance to compete with their rivals. Data Envelopment Analysis (DEA) is a widely used method in the performance evaluation of airports. This study was aimed to measure the performance and ranking of selected major international airports in 2019 and the first quarter of 2020 using the DEA method, the Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) method, and the Evaluation Based on Distance from Average Solution (EDAS) method. Efficiency analysis has been carried out using CCR-DEA models. Later, performance evaluation of the alternatives was made according to the TOPSIS and EDAS methods. In this study, the ranking of the airports has been compiled according to the results of the DEA, TOPSIS and EDAS methods. The study found that the use of the DEA method together with Multi-Criteria Decision-Making (MCDM) methods such as TOPSIS and EDAS for the performance evaluation of airports allows a full and clear ranking of decision-making units (DMUs).
2
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Integrating queue theory and multi-criteria decision-making tools for selecting roll-over car washing machine

99%
OZCALICI M.
Operations Research and Decisions
|
2023
|
vol. 33
|
issue 2
99-119
EN
The study aims to develop a decision-making framework by integrating queuing theory and multi-criteria decision-making (MCDM) tools, namely TOPSIS, EDAS, CoCoSo, and TODIM to select a roll-over car washing machine for an oil station. The queue, technical and financial characteristics of the alternatives are added to the decision-making process. The decision matrix includes five criteria and five alternatives. One million weight sets are created randomly, and MCDM techniques are applied to interpret the results statistically. Results indicate that Alternative 3 is statistically superior to the others. The proposed procedure can help decision makers to make decisions when expert knowledge isn’t available, and it can be applied for other purposes by making small changes.
3
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International market selection: a MABA based EDAS analysis framework

99%
Hashemkhani Zolfani S., Ebadi Torkayesh A., Ecer F., Turskis Z., Šaparauskas J.
Oeconomia Copernicana
|
2021
|
vol. 12
|
issue 1
99-124
EN
Research background: International market selection is an essential issue for big companies that supply food products. Different types of decision factors and different characteristics of different international markets have brought up a complicated decision-making problem for food supply companies. In order to select the most suitable and profitable market, food supply companies have to consider several qualitative and quantitative factors, including social, political, economic, and ecological aspects. Purpose of the article: In order to overcome international market selection issues, the current study develops a novel integrated decision-making tool. Methods: A novel decision-making model of market analysis is developed as an extended model of Market Attractiveness and Business Attractiveness (MABA) analysis based on the Multiple Attribute Decision Making (MADM). To improve the MABA analysis model, we combine the EDAS method with MABA analysis to empower decision-makers in food supply companies to evaluate several international markets and select the most profitable market for their products. Findings & value added: In this study, we first identified the most important and frequently used decision factors for market analysis problems within MABA analysis under two categories: market attractiveness and business attractiveness. To show the proposed methodology's applicability and feasibility, we perform a case study for a food supply company in Iran that supplies products to Middle East and Asian countries. In order to investigate the reliability of the obtained results, we perform a sensitivity analysis concerning the importance of involved decision factors. The proposed decision-making tool results suggest that the model can be used as a reliable tool for market analysis problems. To sum up the long-term value of the study, we have developed a novel decision-making tool using MABA analysis and the EDAS method. No study integrates any MCDM methods with MABA analysis to the best of our knowledge. Integration of EDAS method with MABA analysis empowers decision-makers in market selection division to use more systematic methods for evaluating several markets.
4
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Relationship marketing orientation in healthcare organisations with the AHP method. Internal and external customer perspective

85%
Ersoy Y., Tehci A.
Operations Research and Decisions
|
2023
|
vol. 33
|
issue 1
EN
Adopting the relationship marketing approach in health institutions and evaluating the weights of its dimensions will benefit the effectiveness of marketing strategies. This study aimed to determine the critical levels of relationship marketing orientation components in private health institutions using the analytical hierarchy process (AHP). In the study, relationship marketing orientation was evaluated according to six criteria in line with the opinions of five experts for employees and 20 people who previously benefited from health services for their customers. As a result, the criterion with the highest priority value was communication with 0.259, and the best health company A. Furthermore, the AHP method results were compared with TOPSIS, EDAS, and CODAS methods. In addition, the Spearman Correlation method was used to determine the correlation between the results.
5
Publication available in full text mode
Content available

Integrating queue theory and multi-criteria decision-making tools for selecting roll-over car washing machine

85%
Ozcalici M.
Operations Research and Decisions
|
2023
|
vol. 33
|
issue 2
EN
The study aims to develop a decision-making framework by integrating queuing theory and multi-criteria decision-making (MCDM) tools, namely TOPSIS, EDAS, CoCoSo, and TODIM to select a roll-over car washing machine for an oil station. The queue, technical and financial characteristics of the alternatives are added to the decision-making process. The decision matrix includes five criteria and five alternatives. One million weight sets are created randomly, and MCDM techniques are applied to interpret the results statistically. Results indicate that Alternative 3 is statistically superior to the others. The proposed procedure can help decision makers to make decisions when expert knowledge isn’t available, and it can be applied for other purposes by making small changes.
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