RANKING OF GEOGRAPHICAL REGIONS ACCORDING TO CEMENT INDUSTRY SUSTAINABILITY PERFORMANCE CRITERIA WITH MULTI-CRITERIA DECISION-MAKING METHODS
Abstract
The cement production process uses non-renewable resources to convert large amounts of raw materials into finished products. In this process, high energy use causes high CO_2 emissions. The aim of this study is to rank geographical regions according to selected sustainability performance indicators regarding gray and white cement production, using Getting Numbers Right (GNR) 2018 data. Eleven different geographical regions are included in the reports published by GNR. In the ranking of these countries, total cement production volume, total gross CO_2 emission amount, gross CO_2 emission amount excluding CO_2 resulting from on-site electricity production, total net CO_2 emission amount excluding CO_2 resulting from on-site electricity production, total external power consumption for cement production, total alternative fossil fuels, and the sustainability performance criteria of the mixed fuel consumption amount and the total biomass fuel amount were taken into account. In this problem, MCDM methods were used since the geographical regions would be ranked according to the determined performance criteria. In the proposed integrated approach, entropy was used to determine the weights of the performance criteria, and the Additive Ratio Assessment (ARAS) method was used to rank the geographical regions. As a result of the study, the first three places were Brazil, the Commonwealth of Independent States (CIS), and North America, and the resulting ranking was discussed. It has been determined that the proposed integrated approach is an easy-to-implement and effective method to obtain the sustainability performance ranking of geographical regions.
References
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- Azizi, F., & Ardakāni, F. A. (2023). Decision-making framework to examine the factors affecting the development of Coastal Tourism in Iran. Geographical Studies of Coastal Areas Journal, 4(3), Serial 14, 51-67. Retrieved from https://www.sid.ir/fileserver/jf/2161-272348-fa-1096649.pdf
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- Burhan, H. A. (2024). Sustainability in industry, innovation and infrastructure: A MCDM based performance evaluation of european union and Türkiye for Sustainable Development Goal 9 (SDG 9). Verimlilik Dergisi, 21-38. Doi : https://doi.org/10.51551/verimlilik.1333767
- Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers and Operations Research, 22(7), 763-770. Doi : https://doi.org/10.1016/0305-0548(94)00059-H
- Ecer, F., Pamucar, D., Zolfani, S. H., & Eshkalag, M. K. (2019). Sustainability assessment of OPEC countries: Application of a multiple attribute decision making tool. Journal of Cleaner Production, 241, 118324. Doi : https://doi.org/10.1016/j.jclepro.2019.118324
- Eti, S., Yüksel, S., Dinçer, H., Kalkavan, H., Hacioglu, U., Mikhaylov, A., ... & Pinter, G. (2024). Assessment of technical and financial challenges for renewable energy project alternatives. Cleaner Engineering and Technology, 18, 100719. Doi : https://doi.org/10.1016/j.clet.2023.100719
- GNR Project Reporting CO_2. (2018). Global Cement and Concrete Association. Retrieved from https://gccassociation.org/gnr/.
- Goker, N., Karsak, E. E., & Dursun, M. (2022). An integrated QFD and common weight DEA-based fuzzy MCDM framework for performance ranking of countries. Social Indicators Research, 1-22. Doi : https://doi.org/10.1007/s11205-021-02751-2
- Goswami, S. S., & Behera, D. K. (2021a). Implementation of ENTROPY-ARAS decision making methodology in the selection of best engineering materials. Materials Today: Proceedings, 38, 2256-2262. Doi : https://doi.org/10.1016/j.matpr.2020.06.320
- Goswami, S. S., & Behera, D. K. (2021b). Solving material handling equipment selection problems in an industry with the help of entropy integrated COPRAS and ARAS MCDM techniques. Process Integration and Optimization for Sustainability, 5(4), 947-973. Doi : https://doi.org/10.1007/s41660-021-00192-5
- Goswami, S. S., Behera, D. K., Mitra, S., Saleel, C. A., Saleh, B., Razak, A., ... & Ketema, A. (2022). Development of entropy embedded COPRAS-ARAS hybrid MCDM model for optimizing EDM parameters while machining high carbon chromium steel plate. Advances in Mechanical Engineering, 14(10), 16878132221129702. Doi : https://doi.org/10.1177/16878132221129702
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- Hwang, C. L., & Yoon, K. (2012). Multiple attribute decision making: methods and applications a state-of-the-art survey (Vol. 186). Springer Science and Business Media.
- Jamshidi, S. F., Karamidehkordi, M., Karbasioun, M., & Layani, G. (2023). Identification of leveling of the rural ecotourism areas in Chaharmahal va Bakhtiari Province. Journal of Tourism Planning and Development, 12(46), 145-167. Doi : https://doi.org/10.22080/jtpd.2023.24307.3740
- Karadağ Ak, Ö., Hazar, A., & Babuşcu, Ş. (2022). Evaluation of the financial performance of development and investment banks with entropy-based ARAS method. Macroeconomics and Finance in Emerging Market Economies, 1-21. Doi : https://doi.org/10.1080/17520843.2022.2035523
- Kaya, S. K. (2020). Evaluation of the effect of COVID-19 on countries’ sustainable development level: A comparative MCDM framework. Operational Research in Engineering Sciences: Theory and Applications, 3(3), 101-122. Doi : https://doi.org/10.31181/oresta20303101k
- Liu, K.F. (2007). Evaluating environmental sustainability: an integration of multiple-criteria decision-making and fuzzy logic, Environmental Management, 39(5), 721-736. Doi : https://doi.org/10.1007/s00267-005-0395-8
- Martín, C. J., & Carnero, M. C. (2019). Evaluation of sustainable development in European Union Countries. Applied Sciences, 9(22), 4880. Doi : https://doi.org/10.3390/app9224880
- Mishra, A. R., & Rani, P. (2023). A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: An application of sustainable recycling partner selection. Journal of Ambient Intelligence and Humanized Computing, 14(6), 6897-6918. Doi : https://doi.org/10.1007/s12652-021-03549-3
- Tutak, M., Brodny, J., & Bindzár, P. (2021). Assessing the level of energy and climate sustainability in the European Union countries in the context of the European green deal strategy and agenda 2030. Energies, 14(6), 1767. Doi : https://doi.org/10.3390/en14061767
- Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision‐making. Technological and economic development of economy, 16(2), 159-172. Doi : https://doi.org/10.3846/tede.2010.10
COĞRAFİ BÖLGELERİN ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ İLE ÇİMENTO ENDÜSTRİSİ SÜRDÜRÜLEBİLİRLİK PERFORMANS KRİTERLERİNE GÖRE SIRALAMASI
Abstract
Bu çalışmada, GNR 2018 verilerine göre coğrafi bölgelerin gri ve beyaz çimento üretimine ait seçilen performans göstergelerine sıralanması amaçlanmıştır. Bu sıralama için göz önünde bulundurulan sürdürülebilirlik performans kriterleri şunlardır: Toplam çimento üretim hacmi, toplam brüt CO2 salınımı miktarı, yerinde elektrik üretiminden kaynaklanan CO2 hariç brüt CO2 salınımı miktarı, yerinde elektrik üretiminden kaynaklanan CO2 hariç toplam net CO2 salınımı miktarı, çimento üretimi için toplam harici güç tüketimi, toplam alternatif fosil yakıtlar ve karışık yakıt tüketimi miktarı ve toplam biokütle yakıt miktarı. GNR’ın yayınladığı raporlarda, Afrika, Asya, Brezilya, Orta Amerika, Çin – Kore – Japonya, CIS, Avrupa, Hindistan, Orta Doğu, Kuzey Amerika ve Güney Amerika olmak üzere 11 farklı coğrafi bölge ele alınmıştır. Bu problemde, belirlenen performans kriterlerine göre coğrafi bölgelerin sıralaması yapılacağından Çok Kriterli Karar Verme (ÇKKV) yöntemlerinden yararlanılmıştır. Önerilen bütünleşik yaklaşımda, performans kriterlerinin ağırlıklarını belirlemek için Entropy yönteminden, coğrafi bölgelerin sıralaması için de Additive Ratio Assessment (ARAS) yönteminden kullanılmıştır. Çalışmanın sonucunda, ilk üç sırada Brezilya, Bağımsız Devletler Topluluğu (BDT) ve Kuzey Amerika yer almış ve elde edilen sıralama tartışılmıştır. Önerilen bütünleşik yaklaşımın, coğrafi bölgelerin sürdürülebilirlik performans sıralamasının elde edilmesi için uygulaması kolay ve etkili bir yöntem olduğu tespit edilmiştir.
Keywords
Çimento endüstrisi sürdürülebilirlik performans göstergeleri çok kriterli karar verme Entropi ARAS
References
- Alptekin, N. (2015). Ranking of EU countries and Turkey in terms of sustainable development indicators: An integrated approach using entropy and TOPSIS methods. The 9th International Days of Statistics and Economics, Prague, September 1012. Retrieved from https://msed.vse.cz/msed_2015/article/41-Alptekin-Nesrin-paper.pdf
- Azizi, F., & Ardakāni, F. A. (2023). Decision-making framework to examine the factors affecting the development of Coastal Tourism in Iran. Geographical Studies of Coastal Areas Journal, 4(3), Serial 14, 51-67. Retrieved from https://www.sid.ir/fileserver/jf/2161-272348-fa-1096649.pdf
- Brodny, J., & Tutak, M. (2021). Assessing sustainable energy development in the central and eastern European countries and analyzing its diversity. Science of the Total Environment, 801, 149745. Doi : https://doi.org/10.1016/j.scitotenv.2021.149745
- Brodny, J., & Tutak, M. (2023). Assessing the energy and climate sustainability of European Union member states: an MCDM-based approach. Smart Cities, 6(1), 339-367. Doi : https://doi.org/10.3390/smartcities6010017
- Burhan, H. A. (2024). Sustainability in industry, innovation and infrastructure: A MCDM based performance evaluation of european union and Türkiye for Sustainable Development Goal 9 (SDG 9). Verimlilik Dergisi, 21-38. Doi : https://doi.org/10.51551/verimlilik.1333767
- Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers and Operations Research, 22(7), 763-770. Doi : https://doi.org/10.1016/0305-0548(94)00059-H
- Ecer, F., Pamucar, D., Zolfani, S. H., & Eshkalag, M. K. (2019). Sustainability assessment of OPEC countries: Application of a multiple attribute decision making tool. Journal of Cleaner Production, 241, 118324. Doi : https://doi.org/10.1016/j.jclepro.2019.118324
- Eti, S., Yüksel, S., Dinçer, H., Kalkavan, H., Hacioglu, U., Mikhaylov, A., ... & Pinter, G. (2024). Assessment of technical and financial challenges for renewable energy project alternatives. Cleaner Engineering and Technology, 18, 100719. Doi : https://doi.org/10.1016/j.clet.2023.100719
- GNR Project Reporting CO_2. (2018). Global Cement and Concrete Association. Retrieved from https://gccassociation.org/gnr/.
- Goker, N., Karsak, E. E., & Dursun, M. (2022). An integrated QFD and common weight DEA-based fuzzy MCDM framework for performance ranking of countries. Social Indicators Research, 1-22. Doi : https://doi.org/10.1007/s11205-021-02751-2
- Goswami, S. S., & Behera, D. K. (2021a). Implementation of ENTROPY-ARAS decision making methodology in the selection of best engineering materials. Materials Today: Proceedings, 38, 2256-2262. Doi : https://doi.org/10.1016/j.matpr.2020.06.320
- Goswami, S. S., & Behera, D. K. (2021b). Solving material handling equipment selection problems in an industry with the help of entropy integrated COPRAS and ARAS MCDM techniques. Process Integration and Optimization for Sustainability, 5(4), 947-973. Doi : https://doi.org/10.1007/s41660-021-00192-5
- Goswami, S. S., Behera, D. K., Mitra, S., Saleel, C. A., Saleh, B., Razak, A., ... & Ketema, A. (2022). Development of entropy embedded COPRAS-ARAS hybrid MCDM model for optimizing EDM parameters while machining high carbon chromium steel plate. Advances in Mechanical Engineering, 14(10), 16878132221129702. Doi : https://doi.org/10.1177/16878132221129702
- Gök-Kısa, A. C., Celik, P., & Peker, İ. (2022). Performance evaluation of privatized ports by entropy based TOPSIS and ARAS approach. Benchmarking: An International Journal, 29(1), 118-135. Doi : https://doi.org/10.1108/BIJ-10-2020-0554
- Hwang, C. L., & Yoon, K. (2012). Multiple attribute decision making: methods and applications a state-of-the-art survey (Vol. 186). Springer Science and Business Media.
- Jamshidi, S. F., Karamidehkordi, M., Karbasioun, M., & Layani, G. (2023). Identification of leveling of the rural ecotourism areas in Chaharmahal va Bakhtiari Province. Journal of Tourism Planning and Development, 12(46), 145-167. Doi : https://doi.org/10.22080/jtpd.2023.24307.3740
- Karadağ Ak, Ö., Hazar, A., & Babuşcu, Ş. (2022). Evaluation of the financial performance of development and investment banks with entropy-based ARAS method. Macroeconomics and Finance in Emerging Market Economies, 1-21. Doi : https://doi.org/10.1080/17520843.2022.2035523
- Kaya, S. K. (2020). Evaluation of the effect of COVID-19 on countries’ sustainable development level: A comparative MCDM framework. Operational Research in Engineering Sciences: Theory and Applications, 3(3), 101-122. Doi : https://doi.org/10.31181/oresta20303101k
- Liu, K.F. (2007). Evaluating environmental sustainability: an integration of multiple-criteria decision-making and fuzzy logic, Environmental Management, 39(5), 721-736. Doi : https://doi.org/10.1007/s00267-005-0395-8
- Martín, C. J., & Carnero, M. C. (2019). Evaluation of sustainable development in European Union Countries. Applied Sciences, 9(22), 4880. Doi : https://doi.org/10.3390/app9224880
- Mishra, A. R., & Rani, P. (2023). A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: An application of sustainable recycling partner selection. Journal of Ambient Intelligence and Humanized Computing, 14(6), 6897-6918. Doi : https://doi.org/10.1007/s12652-021-03549-3
- Tutak, M., Brodny, J., & Bindzár, P. (2021). Assessing the level of energy and climate sustainability in the European Union countries in the context of the European green deal strategy and agenda 2030. Energies, 14(6), 1767. Doi : https://doi.org/10.3390/en14061767
- Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision‐making. Technological and economic development of economy, 16(2), 159-172. Doi : https://doi.org/10.3846/tede.2010.10
Details
| Primary Language | English |
|---|---|
| Subjects | Industrial Engineering |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | April 30, 2025 |
| Submission Date | March 25, 2025 |
| Acceptance Date | April 21, 2025 |
| Published in Issue | Year 2025 Volume: 36 Issue: 1 |
