Bir Firmanın Belirsizlik Altında Sürdürülebilirlik Performansının Değerlendirilmesi: Bulanık AHP Yaklaşımı

Yıl 2024, Cilt: 39 Sayı: 2, 527 – 533, 11.07.2024

Kübra Tümay Ateş

https://doi.org/10.21605/cukurovaumfd.1514613

Öz

Traditional methods used to determine sustainability performance generally rely on precise data and do not take uncertainties into account. However, in the real world, factors affecting sustainability performance are often uncertain. Therefore, a method capable of addressing uncertainties is necessary to objectively assess sustainability performance. Sustainability is a complex concept with environmental, economic, and social dimensions, and the interaction of these dimensions has a significant impact on the long-term success of businesses. This study proposes a Fuzzy Analytic Hierarchy Process (Fuzzy AHP) approach that integrates fuzzy logic principles to determine the relationships and priorities among these dimensions. Six key criteria influencing sustainability were evaluated using the Fuzzy Analytic Hierarchy Process method to determine the sustainability performance of factories. These six key criteria, selected in collaboration with experts and factory management, include energy efficiency, waste management, water usage, worker health and safety, social engagement and responsibility, and supply chain management. The study concluded that for a factory, the criterion of “Energy Efficiency” is prioritized with a score of 0.27 compared to other criteria.

Anahtar Kelimeler

Fuzzy AHP, Sustainability, Energy companies, Energy efficiency

Kaynakça

• 1. Saaty, T.L., 1986. Axiomatic Foundation of the Analytic Hierarchy Process. Management Science, 32(7), 841-855.
• 2. Özgen, G., Saçlı, M., 2021. Fuzzy AHP and PROMETHEE Methods in Renewable Energy Source Selection: A Case Study in Turkey. Renewable and Sustainable Energy Reviews, 151, 111400.
• 3. Kahraman, C., Sener, B., 2022. A Novel Method for Wind Turbine Selection: Fuzzy AHP and Pythagorean Fuzzy Sets. Renewable Energy, 184, 1031-1043.
• 4. Kwak, J.H., Lee, H.K., 2023. A Novel Approach for Assessing Organizational Sustainability: Fuzzy AHP and Interval-Valued Intuitionistic Fuzzy TOPSIS. Expert Systems With Applications, 181, 115094.
• 5. Deng, Y., Wu, J., 2023. Fuzzy AHP-Based Decision-Making Model for Green Supply Chain Management: A Case Study of the Automotive Industry. Journal of Cleaner Production, 324, 129128.
• 6. Chen, Y., Li, Y., 2022. A Novel Hybrid MCDM Model Combining Fuzzy AHP, ELECTRE, and TODIM Methods for Sustainable Supplier Selection. Journal of Environmental Management, 304, 114118.
• 7. Kahraman, C., Cebi, F., 2009. Multi-Criteria Supplier Selection Using Fuzzy AHP. Logistics Information Management, 22(6), 475-484.
• 8. Yazdani-Chamzini, A., Keramati, A., 2023. A Novel Fuzzy AHP-Based Approach for Prioritizing Investment in Renewable Energy Projects: A Case Study in Iran. Renewable Energy, 205, 377-387.
• 9. Chen, C.T., 2022. Fuzzy Multiple Criteria Decision-Making Methods for Green Supplier Selection: A Literature Review and Future Research Agenda. Journal of Cleaner Production, 320, 128887.
• 10. Wang, X., Kuo, Y.H., 2023. Fuzzy AHP-Based Approach for Assessing and Selecting Carbon Offset Projects in Aviation Industry: A Case Study in China. Transportation Research Part D: Transport and Environment, 102, 103215.
• 11. Lee, L.W., Lin, C.Y., 2022. An Integrated Fuzzy AHP and DEMATEL Approach for Evaluating the Sustainable Development of Smart Cities: A Case Study of Taiwan. Sustainable Cities and Society, 84, 102638.
• 12. Liu, C., Liu, S., 2020. Evaluating Sustainable Investment Decisions Using Fuzzy Analytic Hierarchy Process (Fuzzy AHP): Environmental, Social, and Corporate Governance Factors. Journal of Sustainable Finance & Investment, 10(1), 78-95.
• 13. Özdemir, D., Akdoğan, A.A., 2021. Assessing Green Innovation Management Using Fuzzy Multi-Criteria Decision Making (Fuzzy MCDM): Integration of Sustainability Dimensions in Green Product Design, Green Supplier Selection, and Marketing Strategies. Journal of Environmental Management, 278, 111520.
• 14. Atay, M., Kahraman, C., 2020. Evaluating Climate Change Risks Using Fuzzy Logic Models: Managing Uncertainties and Complexities in Shaping Business Strategies. Business Strategy and the Environment, 29(5), 2258-2272.
• 15. Saaty, T.L., Zadeh, L.A., 2000. Fuzzy Sets and Fuzzy Logic: The Foundations of Application – From a Mathematical Point of View. Springer, 215.
• 16. Chen, S.J., Hwang, C.L., 1992. Fuzzy Multiple Attribute Decision Making Methods. In Fuzzy Multiple Attribute Decision Making: Methods and Applications Berlin, Heidelberg: Springer Berlin Heidelberg, Nguyen, 289- 486.
• 17. Nguyen, H.T., Wu, B., 1999. Fuzzy Sets and Fuzzy Decision-Making. CRC Press, 259.
• 18. Chang, D.-Y., 1996. Applications of the Extent Analysis Method on Fuzzy AHP, European Journal of Operational Research, 95(3), 649-655.
• 19. Buckley, J.J., 1985. Fuzzy Hierarchical Analysis. Fuzzy Set Syst, 17(3), 233-247.

Bir Firmanın Belirsizlik Altında Sürdürülebilirlik Performansının Değerlendirilmesi: Bulanık AHP Yaklaşımı

Yıl 2024, Cilt: 39 Sayı: 2, 527 – 533, 11.07.2024

Kübra Tümay Ateş

https://doi.org/10.21605/cukurovaumfd.1514613

Öz

Sürdürülebilirlik performansını belirlemek için kullanılan geleneksel yöntemler, genellikle kesin verilere dayanır ve belirsizlikleri dikkate almaz. Ancak, gerçek dünyada, sürdürülebilirlik performansını etkileyen faktörler genellikle belirsizdir. Bu nedenle, sürdürülebilirlik performansını objektif bir şekilde değerlendirmek için belirsizlikleri ele alabilen bir yöntem gereklidir. Sürdürülebilirlik, çevresel, ekonomik ve sosyal boyutlarıyla karmaşık bir kavram olup, bu boyutların etkileşimi, işletmelerin uzun vadeli başarısı üzerinde önemli bir etkiye sahiptir. Bu çalışma, bu boyutlar arasındaki ilişkileri ve önem sıralarını belirlemek için bulanık mantık prensiplerini entegre eden bir Fuzzy Analitik Hiyerarşi Prosesi (AHP) yaklaşımını önermektedir. Fabrikaların sürdürülebilirlik performansını belirlemek için Fuzzy AHP yöntemi kullanılarak altı temel kriterin sürdürülebilirliğe olan etkisi değerlendirilmiştir. Bu altı temel kriter alanında uzman kişiler ve fabrika yönetimi ile birlikte; enerji verimliliği, atık yönetimi, su kullanımı, işçi sağlığı ve güvenliği, toplumsal katılım ve sorumluluk, ve tedarik zinciri yönetimi olarak firmaların sürdürülebilirlik performansını belirlemek için seçilmiştir. Çalışma sonucunda bir fabrika için “Enerji Verimliliği” kriterinin 0,27 puan ile diğer kriterlerden çok daha öncelikli olduğu saptanmıştır.

Anahtar Kelimeler

Bulanık AHP, Sürdürülebilirlik, Enerji firmaları, Enerji verimliliği

Kaynakça

• 1. Saaty, T.L., 1986. Axiomatic Foundation of the Analytic Hierarchy Process. Management Science, 32(7), 841-855.
• 2. Özgen, G., Saçlı, M., 2021. Fuzzy AHP and PROMETHEE Methods in Renewable Energy Source Selection: A Case Study in Turkey. Renewable and Sustainable Energy Reviews, 151, 111400.
• 3. Kahraman, C., Sener, B., 2022. A Novel Method for Wind Turbine Selection: Fuzzy AHP and Pythagorean Fuzzy Sets. Renewable Energy, 184, 1031-1043.
• 4. Kwak, J.H., Lee, H.K., 2023. A Novel Approach for Assessing Organizational Sustainability: Fuzzy AHP and Interval-Valued Intuitionistic Fuzzy TOPSIS. Expert Systems With Applications, 181, 115094.
• 5. Deng, Y., Wu, J., 2023. Fuzzy AHP-Based Decision-Making Model for Green Supply Chain Management: A Case Study of the Automotive Industry. Journal of Cleaner Production, 324, 129128.
• 6. Chen, Y., Li, Y., 2022. A Novel Hybrid MCDM Model Combining Fuzzy AHP, ELECTRE, and TODIM Methods for Sustainable Supplier Selection. Journal of Environmental Management, 304, 114118.
• 7. Kahraman, C., Cebi, F., 2009. Multi-Criteria Supplier Selection Using Fuzzy AHP. Logistics Information Management, 22(6), 475-484.
• 8. Yazdani-Chamzini, A., Keramati, A., 2023. A Novel Fuzzy AHP-Based Approach for Prioritizing Investment in Renewable Energy Projects: A Case Study in Iran. Renewable Energy, 205, 377-387.
• 9. Chen, C.T., 2022. Fuzzy Multiple Criteria Decision-Making Methods for Green Supplier Selection: A Literature Review and Future Research Agenda. Journal of Cleaner Production, 320, 128887.
• 10. Wang, X., Kuo, Y.H., 2023. Fuzzy AHP-Based Approach for Assessing and Selecting Carbon Offset Projects in Aviation Industry: A Case Study in China. Transportation Research Part D: Transport and Environment, 102, 103215.
• 11. Lee, L.W., Lin, C.Y., 2022. An Integrated Fuzzy AHP and DEMATEL Approach for Evaluating the Sustainable Development of Smart Cities: A Case Study of Taiwan. Sustainable Cities and Society, 84, 102638.
• 12. Liu, C., Liu, S., 2020. Evaluating Sustainable Investment Decisions Using Fuzzy Analytic Hierarchy Process (Fuzzy AHP): Environmental, Social, and Corporate Governance Factors. Journal of Sustainable Finance & Investment, 10(1), 78-95.
• 13. Özdemir, D., Akdoğan, A.A., 2021. Assessing Green Innovation Management Using Fuzzy Multi-Criteria Decision Making (Fuzzy MCDM): Integration of Sustainability Dimensions in Green Product Design, Green Supplier Selection, and Marketing Strategies. Journal of Environmental Management, 278, 111520.
• 14. Atay, M., Kahraman, C., 2020. Evaluating Climate Change Risks Using Fuzzy Logic Models: Managing Uncertainties and Complexities in Shaping Business Strategies. Business Strategy and the Environment, 29(5), 2258-2272.
• 15. Saaty, T.L., Zadeh, L.A., 2000. Fuzzy Sets and Fuzzy Logic: The Foundations of Application – From a Mathematical Point of View. Springer, 215.
• 16. Chen, S.J., Hwang, C.L., 1992. Fuzzy Multiple Attribute Decision Making Methods. In Fuzzy Multiple Attribute Decision Making: Methods and Applications Berlin, Heidelberg: Springer Berlin Heidelberg, Nguyen, 289- 486.
• 17. Nguyen, H.T., Wu, B., 1999. Fuzzy Sets and Fuzzy Decision-Making. CRC Press, 259.
• 18. Chang, D.-Y., 1996. Applications of the Extent Analysis Method on Fuzzy AHP, European Journal of Operational Research, 95(3), 649-655.
• 19. Buckley, J.J., 1985. Fuzzy Hierarchical Analysis. Fuzzy Set Syst, 17(3), 233-247.

Toplam 19 adet kaynakça vardır.

Ayrıntılar

Kaynak Göster

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