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EN
Smart cities are included in the literature as a technology-based concept that has been on the agenda in recent years and whose framework is constantly changing with the changes in technology. There are different frameworks and indexes to define the smartness of a city. Smart City Index 2021 published by Institute for Management Development (IMD) and Singapore University of Technology and Design (SUTD) is one of the accepted studies in the world. In the report of Smart City Index 2021, 118 cities are evaluated in five criteria namely health & safety, mobility, activities, opportunities (work & school) and governance. To re-evaluate the cities and compare the results, a Multi-Criteria Decision Making (MCDM) process including Entropy based Complex Proportional Assessment (COPRAS) and Addivite Ratio Assessment (ARAS) methodology is applied in this paper. To prioritize the criteria, entropy weight method is used. 118 cities are ranked both technologically and structurally using the COPRAS and ARAS method. As a result of the analyses, according to these methods, the rankings of the smart cities are the same. Also, when technologically smart cities are listed, it is determined that the first three countries are Zhuhai, Shenzhen, Nanjing, and at the same time, Abu Dhabi, Chongqing, Hangzhou in terms of structurally.
EN
Background: The Logistics Performance Index (LPI), created by the World Bank, is a benchmark tool used to determine the threats and opportunities faced by countries in their logistics performances and to improve their performances. Countries aim to increase their LPI scores and rank higher on the LPI list while developing their strategies. Methods: In this study, it was aimed to compare the domestic logistics performances of Turkey and the European Union countries with an integrated model using the domestic logistics performance index data for 2018, which was recently published by the World Bank. In this direction, firstly, the importance levels of the criteria were determined with the CRITIC (Criteria Importance Through Intercritera Correlation) method, and then, using the importance levels of the criteria, the countries were ranked according to the domestic logistics performance score with the COPRAS (Complex Proportional Assessment) method. Results: As a result of the CRITIC method, the most important criterion in the ranking according to the importance levels of the criteria was “without physical examination”, which is the sub-criterion of the customs clearance period, while the Netherlands was the country with the best performance in the ranking performed by the COPRAS method, using the importance levels of the criteria determined by the CRITIC method. Conclusions: The study differs from current studies in the literature in that it is the first study to perform a domestic logistic performance comparison using CRITIC and COPRAS methods with an integrated model. The results of the current study can be compared with the results obtained by using different integrated models and different data in the studies to be conducted.
PL
Wstęp: Wskaźnik Logistics Performance Index (LPI), utworzony prze Bank Światowy, służy do benchmarkingu w określaniu zagrożeń i możliwości dla krajów w ich działalności logistycznej oraz dla działań w celu poprawy tej działalności. Państwa dążą do poprawy wartości swojego wskaźnika LPI poprzez ciągła poprawę swojej strategii działania. Metody: Celem pracy jest porównanie wskaźników krajowej działalności logistycznej Turcji oraz krajów Unii Europejskiej ze zintegrowanym modelem w oparciu dane za 2018 rok, opublikowane niedawno przez Bank Światowy. W tym celu wpierw określono ważność poszczególnych kryteriów przy pomocy metody CRITIC (Criteria Importance Through Intercritera Correlation), a następnie utworzono ranking krajów dotyczących ich działalności logistycznej przy użyciu metody COPRAS (Complex Proportional Assessment). Wyniki: Używając metodę CRITIC, ustalono, że najważniejszym kryterium w ranking było kryterium „bez badania fizycznego”, które jest podkryterium w okresie odpraw celnych. Holandia umiejscowiła się na pierwszym miejscu rankingu stworzonego przy użyciu metody COPRAS. Wnioski: Prezentowana praca różni się od prac obecnie publikowanych użyciem metody porównawczej, wykorzystującej metody CRITIC oraz COPRAS w odniesienie do zintegrowanego modelu. Jednak otrzymane wyniku mogą być porównywane z wynikami uzyskanymi przy zastosowaniu innych modeli zintegrowanych oraz na podstawie innego zestawu danych.
EN
Countries need to develop sustainable energy policies based on the principles of environmental sensitivity, reliability, efficiency, economy and uninterrupted service and to maintain their energy supply in order to increase their global competitiveness. In addition to this impact of sustainable energy supply on the global world, maintenance processes in power plants require high costs due to allocated time, materials and labor, and generation loss. Thus, the maintenance needs to be managed within a system. This makes analytical and feasible maintenance planning a necessity in power plants. In this context, this study focuses on maintenance strategy optimization which is the first phase of maintenance planning for one of the large-scale hydroelectric power plants with a direct effect on Turkey's energy supply security with its one fifth share in total generation. In this study, a new model is proposed for the maintenance strategy optimization problem considering the multi-objective and multicriteria structure of hydroelectric power plants with hundreds of complex equipment and the direct effect of these equipment on uninterrupted and cost-effective electricity generation. In the model, two multi-criteria decision-making methods, AHP and COPRAS methods, are integrated with integer programming method and optimal maintenance strategies are obtained for 571 equipment.
EN
Nowadays modernization of multi-dwelling houses appeals greatly to those from landlords to politicians. The key problem that drives the issue is maintenance price, which mainly consists of two elements: (1) huge energy consumption during heating season, and (2) simultaneously rising greenhouse gas emissions from fuel combustion. Currently, most of the studies highlight particularly an economical aspect although on a global scale an ecological element becomes even more important. Hence the present paper combines both parts but mainly investigates an ecological compound, i.e. greenhouse gas emissions. Although it has been revealed that the binding targets of the Kyoto Protocol were very easily achievable for Lithuania, it is obvious that in the context of climate change a constant decline of emissions is necessary. Therefore, the paper seeks to establish an unconventional treatment of the Kyoto Protocol and its practical application on multi-dwelling modernization. The method aims at decreasing emissions significantly. The two scenarios have been investigated according to which modernization could help cut emissions by 8% or 20% of 1990 levels. Modernization scenarios were evaluated using multi-criteria decision making methods, i.e., COPRAS, WASPAS and TOPSIS according to which optimal option was revealed. The final results have revealed that a complete replacement of windows would help decline total emissions approximately by 30% and thus greatly fulfilled initial expectations.
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