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Investigation of barriers for circular economy using Delphi, Best Worst Method, and EDAS: An application study in Turkey for a manufacturing company

Yıl 2025, Cilt: 9 Sayı: 2, 233 - 245, 30.12.2025
https://doi.org/10.56554/jtom.1465973

Öz

Adopting the principles of circular economy has become imperative for manufacturing firms to maintain their competitiveness in the global market. Examining the adoption of circular practices through the lens of companies' sustainability goals is essential for identifying specific objectives related to circular economy initiatives and overcoming associated barriers. This study presents a case analysis conducted within a manufacturing company to address these barriers. Initially, the company's sustainable development goals were assessed and weighted using the Best Worst method. Subsequently, barriers hindering the transition to a circular economy were identified through a comprehensive literature review, with critical barriers determined through the Delphi method. Leveraging the weighted sustainable development goals, a prioritized ranking of critical barriers was established using the EDAS method. The findings of the study underscore the significance of addressing key barriers to circular economy adoption. Notably, the top three barriers identified include the high cost of eco-friendly materials, the need for technological and infrastructural advancements, and stakeholder environmental awareness. This study holds practical importance in evaluating circular economy adoption barriers in alignment with sustainable development goals. Furthermore, it provides a practical application within a manufacturing company situated in Turkey, a developing country context.

Kaynakça

  • Agrawal, R., Wankhede, V. A., Kumar, A., & Luthra, S. (2021). Analysing the roadblocks of circular economy adoption in the automobile sector: Reducing waste and environmental perspectives. Business Strategy and the Environment, 30(2), 1051–1066. Doi: https://doi.org/10.1002/bse.2669
  • Ayçin, E., & Kayapinar Kaya, S. (2021). Towards the circular economy: Analysis of barriers to implementation of Turkey’s zero waste management using the fuzzy DEMATEL method. Waste Management and Research, 39(8), 1078–1089. Doi: https://doi.org/10.1177/0734242X20988781
  • Badhotiya, G. K., Avikal, S., Soni, G., & Sengar, N. (2022). Analyzing barriers for the adoption of circular economy in the manufacturing sector. International Journal of Productivity and Performance Management, 71(3), 912–931. Doi: https://doi.org/10.1108/IJPPM-01-2021-0021
  • Berchicci, L., & Bodewes, W. (2005). Bridging environmental issues with new product development. Business
  • Strategy and the Environment, 14(5), 272–285. Doi: https://doi.org/10.1002/bse.488 Chhimwal, M., Agrawal, S., & Kumar, G. (2022). Challenges in the implementation of circular economy in manufacturing industry. Journal of Modelling in Management, 17(4), 1049–1077. Doi: https://doi.org/10.1108/JM2-07-2020-0194
  • Cui, Y., Liu, W., Rani, P., & Alrasheedi, M. (2021). Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector. Technological Forecasting and Social Change, 171(February), 120951. Doi: https://doi.org/10.1016/j.techfore.2021.120951
  • Dimitrova, V., Gallucci, T., Marinov, G., & Boshnakov, P. (2024). A fuzzy AHP study of barriers for circularity in the wine sector in Bulgaria. British Food Journal, 126(1), 255–270. Doi: https://doi.org/10.1108/BFJ-12-2022-1113
  • Dohale, V., Gunasekaran, A., Akarte, M., & Verma, P. (2021). An integrated Delphi-MCDM-Bayesian Network framework for production system selection. International Journal of Production Economics, 242(January), 108296. Doi: https://doi.org/10.1016/j.ijpe.2021.108296
  • Emovon, I., Norman, R. A., & Murphy, A. J. (2018). Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems. Journal of Intelligent Manufacturing, 29(3), 519–531. Doi: https://doi.org/10.1007/s10845-015-1133-6
  • Erol, I., Murat, I., Peker, I., & Searcy, C. (2022). Alleviating the Impact of the Barriers to Circular Economy Adoption Through Blockchain : An Investigation Using an Integrated MCDM-based QFD With Hesitant Fuzzy Linguistic Term Sets. Computers & Industrial Engineering, 165(December 2021), 107962. Doi: https://doi.org/10.1016/j.cie.2022.107962
  • Geng, Y., Fu, J., Sarkis, J., & Xue, B. (2012). Towards a national circular economy indicator system in China: An evaluation and critical analysis. Journal of Cleaner Production, 23(1), 216–224. Doi: https://doi.org/10.1016/j.jclepro.2011.07.005
  • Ghorabaee, M. K., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS). Informatica (Netherlands), 26(3), 435–451. Doi: https://doi.org/10.15388/Informatica.2015.57
  • Govindan, K., Nasr, A. K., Karimi, F., & Mina, H. (2022). Circular economy adoption barriers: An extended fuzzy best–worst method using fuzzy DEMATEL and Supermatrix structure. Business Strategy and the Environment, 31(4), 1566–1586. Doi: https://doi.org/10.1002/bse.2970
  • Haleem, A., Khan, S., Pundir, H., Jain, A., Upadhyay, P., & Khan, M. I. (2021). Investigating Barriers Toward the Implementation of Circular Economy: A Fuzzy CRITIC Approach. Journal of Industrial Integration and Management, 6(1), 107–139.
  • Haleem, A., Khan, S., Pundir, H., Jain, A., Upadhyay, P., & Khan, M. I. (2022). Adoption of circular economy for food waste management in the context of a developing country. Journal of Industrial Integration and Management, 40(6), 676–684. Doi: https://doi.org/10.1177/0734242X211038198
  • Jaeger, B., & Upadhyay, A. (2020). Understanding barriers to circular economy: cases from the manufacturing industry. Journal of Enterprise Information Management, 33(4), 729–745. Doi: https://doi.org/10.1108/JEIM-02-2019-0047
  • Jawahir, I. S., & Bradley, R. (2016). Technological Elements of Circular Economy and the Principles of 6R-Based Closed-loop Material Flow in Sustainable Manufacturing. Procedia CIRP, 40, 103–108. Doi: https://doi.org/10.1016/j.procir.2016.01.067
  • Kaviani, M. A., Karbassi Yazdi, A., Ocampo, L., & Kusi-Sarpong, S. (2020). An integrated grey-based multi-criteria decision-making approach for supplier evaluation and selection in the oil and gas industry. Kybernetes, 49(2), 406–441. Doi: https://doi.org/10.1108/K-05-2018-0265
  • Kazancoglu, I., Sagnak, M., Kumar Mangla, S., & Kazancoglu, Y. (2021). Circular economy and the policy: A framework for improving the corporate environmental management in supply chains. Business Strategy and the Environment, 30(1), 590–608. Doi: https://doi.org/10.1002/bse.2641
  • Khandelwal, C., & Barua, M. K. (2024). Prioritizing Circular Supply Chain Management Barriers Using Fuzzy AHP: Case of the Indian Plastic Industry. Global Business Review, 25(1), 232–251. Doi: https://doi.org/10.1177/0972150920948818
  • Kumar, G., & Goswami, M. (2019). Sustainable supply chain performance, its practice and impact on barriers to collaboration. International Journal of Productivity and Performance Management, 68(8), 1434–1456. Doi: https://doi.org/10.1108/IJPPM-12-2018-0425
  • Kumar, R., Singh, K., & Jain, S. K. (2020). Agile manufacturing: a literature review and Pareto analysis. International Journal of Quality and Reliability Management, 37(2), 207–222. Doi: https://doi.org/10.1108/IJQRM-12-2018-0349
  • Kumar, V., Sezersan, I., Garza-Reyes, J. A., Gonzalez, E. D. R. S., & AL-Shboul, M. A. (2019). Circular economy in the manufacturing sector: benefits, opportunities and barriers. Management Decision, 57(4), 1067–1086. Doi: https://doi.org/10.1108/MD-09-2018-1070
  • Lahane, S., & Kant, R. (2022). Investigating the sustainable development goals derived due to adoption of circular economy practices. Waste Management, 143(February), 1–14. Doi: https://doi.org/10.1016/j.wasman.2022.02.016
  • Liang, F., Brunelli, M., & Rezaei, J. (2020). Consistency issues in the best worst method: Measurements and thresholds. Omega (United Kingdom), 96, 102175. Doi: https://doi.org/10.1016/j.omega.2019.102175
  • Lieder, M., & Rashid, A. (2016). Towards circular economy implementation: A comprehensive review in context of manufacturing industry. Journal of Cleaner Production, 115, 36–51. Doi: https://doi.org/10.1016/j.jclepro.2015.12.042
  • Linstone, H. A., Turoff, M., & Helmer, O. (1975). The delphi method. Reading, MA: Addison-Wesley, 3–12. Doi: https://doi.org/10.1007/s00256-011-1145-z
  • Liu, Y., & Bai, Y. (2014). An exploration of firms’ awareness and behavior of developing circular economy: An empirical research in China. Resources, Conservation and Recycling, 87, 145–152. Doi: https://doi.org/10.1016/j.resconrec.2014.04.002
  • Liu, Y., Wood, L. C., Venkatesh, V. G., Zhang, A., & Farooque, M. (2021). Barriers to sustainable food consumption and production in China: A fuzzy DEMATEL analysis from a circular economy perspective. Sustainable Production and Consumption, 28, 1114–1129. Doi: https://doi.org/10.1016/j.spc.2021.07.028
  • Mahanth, T., Suryasekaran, C. R., Ponnambalam, S. G., Sankaranarayanan, B., Karuppiah, K., & Nielsen, I. E. (2023). Modelling the Barriers to Circular Economy Practices in the Indian State of Tamil Nadu in Managing E-Wastes to Achieve Green Environment. Sustainability (Switzerland), 15(5). Doi: https://doi.org/10.3390/su15054224
  • Mangla, S. K., Luthra, S., Mishra, N., Singh, A., Rana, N. P., Dora, M., & Dwivedi, Y. (2018). Barriers to effective circular supply chain management in a developing country context. Production Planning and Control, 29(6), 551–569. Doi: https://doi.org/10.1080/09537287.2018.1449265
  • Moktadir, M. A., Rahman, T., Rahman, M. H., Ali, S. M., & Paul, S. K. (2018). Drivers to sustainable manufacturing practices and circular economy: A perspective of leather industries in Bangladesh. Journal of Cleaner Production, 174, 1366–1380. Doi: https://doi.org/10.1016/j.jclepro.2017.11.063
  • Ozkan-Ozen, Y. D., Kazancoglu, Y., & Kumar Mangla, S. (2020). Synchronized Barriers for Circular Supply Chains in Industry 3.5/Industry 4.0 Transition for Sustainable Resource Management. Resources, Conservation and Recycling, 161(June), 104986. Doi: https://doi.org/10.1016/j.resconrec.2020.104986
  • Preston, F. (2012). A Global Redesign? Shaping the Circular Economy. Energy, Environment and Resource
  • Governance, March, 1–20. Access link: https://d1wqtxts1xzle7.cloudfront.net/32547802/A_global_redesign_-_shaping_the_circular_economy-libre.pdf?1391208840=&response-content-disposition=inline%3B+filename%3Dbriefing_paper_A_Global_Redesign_Shaping.pdf&Expires=1763478857&Signature=WyEQ4DDVtmUk3M6r7QAraj9RHGvpr9xCWau587ysbO33TELfugQYZ~VFyv4egJwvC-jnePvxgA9DFNAknctSRPOFq0oOU2GUMvP~7E2WtSlLHAnJrzINaxM5QoTXGXpoI1-VaztIuD~aUO0XIyb5WoJGVK8bagHkLA1Gt0GOpNbNdLE29yD6b2cPERP~obqlKgPlRNvlgYNjQxEzbKJqIy6fca4hnqCuDDkSsJLFfAy2mefczT~rr8kI6gS3th8-H-zjyK9hJkkFhwJhwYGJb0ZFzem1YyfTzg7HUCdGLgtGtmcdIOuHbgAqxnsm2AJKOG75NZ1Q5OnBocG2PbXkwQ__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
  • Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega (United Kingdom), 53, 49–57. Doi: https://doi.org/10.1016/j.omega.2014.11.009
  • Rezaei, J. (2016). Best Worst Method. Access link: https://bestworstmethod.com/ Saaty, T. L., & Ozdemir, M. S. (2003). Why the magic number seven plus or minus two. Mathematical and Computer Modelling, 38(3–4), 233–244. Doi: https://doi.org/10.1016/S0895-7177(03)90083-5
  • Sharma, M., Joshi, S., & Govindan, K. (2021). Issues and solutions of electronic waste urban mining for circular economy transition: An Indian context. Journal of Environmental Management, 290(April), 112373. Doi: https://doi.org/10.1016/j.jenvman.2021.112373
  • Singh, R. K., Kumar, A., Garza-Reyes, J. A., & de Sá, M. M. (2020). Managing operations for circular economy in the mining sector: An analysis of barriers inte
  • Su, B., Heshmati, A., Geng, Y., & Yu, X. (2013). A review of the circular economy in China: Moving from rhetoric to implementation. Journal of Cleaner Production, 42, 215–227. Doi: https://doi.org/10.1016/j.jclepro.2012.11.020 Thinakaran, S., Chandravelu, P., Ponnambalam, S. G., Sankaranarayanan, B., & Karuppiah, K. (2023). Analyzing the Challenges to Circular Economy in Indian Fashion Industry. IEEE Access, 11(January), 711–727. Doi: https://doi.org/10.1109/ACCESS.2022.3233197
  • Torkayesh, A. E., Deveci, M., Karagoz, S., & Antucheviciene, J. (2023). A state-of-the-art survey of evaluation based on distance from average solution (EDAS): Developments and applications. Expert Systems with Applications, 221(February), 119724. Doi: https://doi.org/10.1016/j.eswa.2023.119724
  • Tseng, M. L., Chiu, A. S. F., Liu, G., & Jantaralolica, T. (2020). Circular economy enables sustainable consumption and production in multi-level supply chain system. Resources, Conservation and Recycling, 154, 104601. Doi: https://doi.org/10.1016/j.resconrec.2019.104601
  • Yazdani, M., Torkayesh, A. E., Santibanez-Gonzalez, E. D., & Otaghsara, S. K. (2020). Evaluation of renewable energy resources using integrated Shannon Entropy—EDAS model. Sustainable Operations and Computers, 1(December), 35–42. Doi: https://doi.org/10.1016/j.susoc.2020.12.002

Yıl 2025, Cilt: 9 Sayı: 2, 233 - 245, 30.12.2025
https://doi.org/10.56554/jtom.1465973

Öz

Kaynakça

  • Agrawal, R., Wankhede, V. A., Kumar, A., & Luthra, S. (2021). Analysing the roadblocks of circular economy adoption in the automobile sector: Reducing waste and environmental perspectives. Business Strategy and the Environment, 30(2), 1051–1066. Doi: https://doi.org/10.1002/bse.2669
  • Ayçin, E., & Kayapinar Kaya, S. (2021). Towards the circular economy: Analysis of barriers to implementation of Turkey’s zero waste management using the fuzzy DEMATEL method. Waste Management and Research, 39(8), 1078–1089. Doi: https://doi.org/10.1177/0734242X20988781
  • Badhotiya, G. K., Avikal, S., Soni, G., & Sengar, N. (2022). Analyzing barriers for the adoption of circular economy in the manufacturing sector. International Journal of Productivity and Performance Management, 71(3), 912–931. Doi: https://doi.org/10.1108/IJPPM-01-2021-0021
  • Berchicci, L., & Bodewes, W. (2005). Bridging environmental issues with new product development. Business
  • Strategy and the Environment, 14(5), 272–285. Doi: https://doi.org/10.1002/bse.488 Chhimwal, M., Agrawal, S., & Kumar, G. (2022). Challenges in the implementation of circular economy in manufacturing industry. Journal of Modelling in Management, 17(4), 1049–1077. Doi: https://doi.org/10.1108/JM2-07-2020-0194
  • Cui, Y., Liu, W., Rani, P., & Alrasheedi, M. (2021). Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector. Technological Forecasting and Social Change, 171(February), 120951. Doi: https://doi.org/10.1016/j.techfore.2021.120951
  • Dimitrova, V., Gallucci, T., Marinov, G., & Boshnakov, P. (2024). A fuzzy AHP study of barriers for circularity in the wine sector in Bulgaria. British Food Journal, 126(1), 255–270. Doi: https://doi.org/10.1108/BFJ-12-2022-1113
  • Dohale, V., Gunasekaran, A., Akarte, M., & Verma, P. (2021). An integrated Delphi-MCDM-Bayesian Network framework for production system selection. International Journal of Production Economics, 242(January), 108296. Doi: https://doi.org/10.1016/j.ijpe.2021.108296
  • Emovon, I., Norman, R. A., & Murphy, A. J. (2018). Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems. Journal of Intelligent Manufacturing, 29(3), 519–531. Doi: https://doi.org/10.1007/s10845-015-1133-6
  • Erol, I., Murat, I., Peker, I., & Searcy, C. (2022). Alleviating the Impact of the Barriers to Circular Economy Adoption Through Blockchain : An Investigation Using an Integrated MCDM-based QFD With Hesitant Fuzzy Linguistic Term Sets. Computers & Industrial Engineering, 165(December 2021), 107962. Doi: https://doi.org/10.1016/j.cie.2022.107962
  • Geng, Y., Fu, J., Sarkis, J., & Xue, B. (2012). Towards a national circular economy indicator system in China: An evaluation and critical analysis. Journal of Cleaner Production, 23(1), 216–224. Doi: https://doi.org/10.1016/j.jclepro.2011.07.005
  • Ghorabaee, M. K., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS). Informatica (Netherlands), 26(3), 435–451. Doi: https://doi.org/10.15388/Informatica.2015.57
  • Govindan, K., Nasr, A. K., Karimi, F., & Mina, H. (2022). Circular economy adoption barriers: An extended fuzzy best–worst method using fuzzy DEMATEL and Supermatrix structure. Business Strategy and the Environment, 31(4), 1566–1586. Doi: https://doi.org/10.1002/bse.2970
  • Haleem, A., Khan, S., Pundir, H., Jain, A., Upadhyay, P., & Khan, M. I. (2021). Investigating Barriers Toward the Implementation of Circular Economy: A Fuzzy CRITIC Approach. Journal of Industrial Integration and Management, 6(1), 107–139.
  • Haleem, A., Khan, S., Pundir, H., Jain, A., Upadhyay, P., & Khan, M. I. (2022). Adoption of circular economy for food waste management in the context of a developing country. Journal of Industrial Integration and Management, 40(6), 676–684. Doi: https://doi.org/10.1177/0734242X211038198
  • Jaeger, B., & Upadhyay, A. (2020). Understanding barriers to circular economy: cases from the manufacturing industry. Journal of Enterprise Information Management, 33(4), 729–745. Doi: https://doi.org/10.1108/JEIM-02-2019-0047
  • Jawahir, I. S., & Bradley, R. (2016). Technological Elements of Circular Economy and the Principles of 6R-Based Closed-loop Material Flow in Sustainable Manufacturing. Procedia CIRP, 40, 103–108. Doi: https://doi.org/10.1016/j.procir.2016.01.067
  • Kaviani, M. A., Karbassi Yazdi, A., Ocampo, L., & Kusi-Sarpong, S. (2020). An integrated grey-based multi-criteria decision-making approach for supplier evaluation and selection in the oil and gas industry. Kybernetes, 49(2), 406–441. Doi: https://doi.org/10.1108/K-05-2018-0265
  • Kazancoglu, I., Sagnak, M., Kumar Mangla, S., & Kazancoglu, Y. (2021). Circular economy and the policy: A framework for improving the corporate environmental management in supply chains. Business Strategy and the Environment, 30(1), 590–608. Doi: https://doi.org/10.1002/bse.2641
  • Khandelwal, C., & Barua, M. K. (2024). Prioritizing Circular Supply Chain Management Barriers Using Fuzzy AHP: Case of the Indian Plastic Industry. Global Business Review, 25(1), 232–251. Doi: https://doi.org/10.1177/0972150920948818
  • Kumar, G., & Goswami, M. (2019). Sustainable supply chain performance, its practice and impact on barriers to collaboration. International Journal of Productivity and Performance Management, 68(8), 1434–1456. Doi: https://doi.org/10.1108/IJPPM-12-2018-0425
  • Kumar, R., Singh, K., & Jain, S. K. (2020). Agile manufacturing: a literature review and Pareto analysis. International Journal of Quality and Reliability Management, 37(2), 207–222. Doi: https://doi.org/10.1108/IJQRM-12-2018-0349
  • Kumar, V., Sezersan, I., Garza-Reyes, J. A., Gonzalez, E. D. R. S., & AL-Shboul, M. A. (2019). Circular economy in the manufacturing sector: benefits, opportunities and barriers. Management Decision, 57(4), 1067–1086. Doi: https://doi.org/10.1108/MD-09-2018-1070
  • Lahane, S., & Kant, R. (2022). Investigating the sustainable development goals derived due to adoption of circular economy practices. Waste Management, 143(February), 1–14. Doi: https://doi.org/10.1016/j.wasman.2022.02.016
  • Liang, F., Brunelli, M., & Rezaei, J. (2020). Consistency issues in the best worst method: Measurements and thresholds. Omega (United Kingdom), 96, 102175. Doi: https://doi.org/10.1016/j.omega.2019.102175
  • Lieder, M., & Rashid, A. (2016). Towards circular economy implementation: A comprehensive review in context of manufacturing industry. Journal of Cleaner Production, 115, 36–51. Doi: https://doi.org/10.1016/j.jclepro.2015.12.042
  • Linstone, H. A., Turoff, M., & Helmer, O. (1975). The delphi method. Reading, MA: Addison-Wesley, 3–12. Doi: https://doi.org/10.1007/s00256-011-1145-z
  • Liu, Y., & Bai, Y. (2014). An exploration of firms’ awareness and behavior of developing circular economy: An empirical research in China. Resources, Conservation and Recycling, 87, 145–152. Doi: https://doi.org/10.1016/j.resconrec.2014.04.002
  • Liu, Y., Wood, L. C., Venkatesh, V. G., Zhang, A., & Farooque, M. (2021). Barriers to sustainable food consumption and production in China: A fuzzy DEMATEL analysis from a circular economy perspective. Sustainable Production and Consumption, 28, 1114–1129. Doi: https://doi.org/10.1016/j.spc.2021.07.028
  • Mahanth, T., Suryasekaran, C. R., Ponnambalam, S. G., Sankaranarayanan, B., Karuppiah, K., & Nielsen, I. E. (2023). Modelling the Barriers to Circular Economy Practices in the Indian State of Tamil Nadu in Managing E-Wastes to Achieve Green Environment. Sustainability (Switzerland), 15(5). Doi: https://doi.org/10.3390/su15054224
  • Mangla, S. K., Luthra, S., Mishra, N., Singh, A., Rana, N. P., Dora, M., & Dwivedi, Y. (2018). Barriers to effective circular supply chain management in a developing country context. Production Planning and Control, 29(6), 551–569. Doi: https://doi.org/10.1080/09537287.2018.1449265
  • Moktadir, M. A., Rahman, T., Rahman, M. H., Ali, S. M., & Paul, S. K. (2018). Drivers to sustainable manufacturing practices and circular economy: A perspective of leather industries in Bangladesh. Journal of Cleaner Production, 174, 1366–1380. Doi: https://doi.org/10.1016/j.jclepro.2017.11.063
  • Ozkan-Ozen, Y. D., Kazancoglu, Y., & Kumar Mangla, S. (2020). Synchronized Barriers for Circular Supply Chains in Industry 3.5/Industry 4.0 Transition for Sustainable Resource Management. Resources, Conservation and Recycling, 161(June), 104986. Doi: https://doi.org/10.1016/j.resconrec.2020.104986
  • Preston, F. (2012). A Global Redesign? Shaping the Circular Economy. Energy, Environment and Resource
  • Governance, March, 1–20. Access link: https://d1wqtxts1xzle7.cloudfront.net/32547802/A_global_redesign_-_shaping_the_circular_economy-libre.pdf?1391208840=&response-content-disposition=inline%3B+filename%3Dbriefing_paper_A_Global_Redesign_Shaping.pdf&Expires=1763478857&Signature=WyEQ4DDVtmUk3M6r7QAraj9RHGvpr9xCWau587ysbO33TELfugQYZ~VFyv4egJwvC-jnePvxgA9DFNAknctSRPOFq0oOU2GUMvP~7E2WtSlLHAnJrzINaxM5QoTXGXpoI1-VaztIuD~aUO0XIyb5WoJGVK8bagHkLA1Gt0GOpNbNdLE29yD6b2cPERP~obqlKgPlRNvlgYNjQxEzbKJqIy6fca4hnqCuDDkSsJLFfAy2mefczT~rr8kI6gS3th8-H-zjyK9hJkkFhwJhwYGJb0ZFzem1YyfTzg7HUCdGLgtGtmcdIOuHbgAqxnsm2AJKOG75NZ1Q5OnBocG2PbXkwQ__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
  • Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega (United Kingdom), 53, 49–57. Doi: https://doi.org/10.1016/j.omega.2014.11.009
  • Rezaei, J. (2016). Best Worst Method. Access link: https://bestworstmethod.com/ Saaty, T. L., & Ozdemir, M. S. (2003). Why the magic number seven plus or minus two. Mathematical and Computer Modelling, 38(3–4), 233–244. Doi: https://doi.org/10.1016/S0895-7177(03)90083-5
  • Sharma, M., Joshi, S., & Govindan, K. (2021). Issues and solutions of electronic waste urban mining for circular economy transition: An Indian context. Journal of Environmental Management, 290(April), 112373. Doi: https://doi.org/10.1016/j.jenvman.2021.112373
  • Singh, R. K., Kumar, A., Garza-Reyes, J. A., & de Sá, M. M. (2020). Managing operations for circular economy in the mining sector: An analysis of barriers inte
  • Su, B., Heshmati, A., Geng, Y., & Yu, X. (2013). A review of the circular economy in China: Moving from rhetoric to implementation. Journal of Cleaner Production, 42, 215–227. Doi: https://doi.org/10.1016/j.jclepro.2012.11.020 Thinakaran, S., Chandravelu, P., Ponnambalam, S. G., Sankaranarayanan, B., & Karuppiah, K. (2023). Analyzing the Challenges to Circular Economy in Indian Fashion Industry. IEEE Access, 11(January), 711–727. Doi: https://doi.org/10.1109/ACCESS.2022.3233197
  • Torkayesh, A. E., Deveci, M., Karagoz, S., & Antucheviciene, J. (2023). A state-of-the-art survey of evaluation based on distance from average solution (EDAS): Developments and applications. Expert Systems with Applications, 221(February), 119724. Doi: https://doi.org/10.1016/j.eswa.2023.119724
  • Tseng, M. L., Chiu, A. S. F., Liu, G., & Jantaralolica, T. (2020). Circular economy enables sustainable consumption and production in multi-level supply chain system. Resources, Conservation and Recycling, 154, 104601. Doi: https://doi.org/10.1016/j.resconrec.2019.104601
  • Yazdani, M., Torkayesh, A. E., Santibanez-Gonzalez, E. D., & Otaghsara, S. K. (2020). Evaluation of renewable energy resources using integrated Shannon Entropy—EDAS model. Sustainable Operations and Computers, 1(December), 35–42. Doi: https://doi.org/10.1016/j.susoc.2020.12.002
Toplam 43 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Endüstri Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Ayça Maden 0000-0002-8239-3084

Gönderilme Tarihi 5 Nisan 2024
Kabul Tarihi 17 Mart 2025
Yayımlanma Tarihi 30 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 9 Sayı: 2

Kaynak Göster

APA Maden, A. (2025). Investigation of barriers for circular economy using Delphi, Best Worst Method, and EDAS: An application study in Turkey for a manufacturing company. Journal of Turkish Operations Management, 9(2), 233-245. https://doi.org/10.56554/jtom.1465973
AMA Maden A. Investigation of barriers for circular economy using Delphi, Best Worst Method, and EDAS: An application study in Turkey for a manufacturing company. JTOM. Aralık 2025;9(2):233-245. doi:10.56554/jtom.1465973
Chicago Maden, Ayça. “Investigation of barriers for circular economy using Delphi, Best Worst Method, and EDAS: An application study in Turkey for a manufacturing company”. Journal of Turkish Operations Management 9, sy. 2 (Aralık 2025): 233-45. https://doi.org/10.56554/jtom.1465973.
EndNote Maden A (01 Aralık 2025) Investigation of barriers for circular economy using Delphi, Best Worst Method, and EDAS: An application study in Turkey for a manufacturing company. Journal of Turkish Operations Management 9 2 233–245.
IEEE A. Maden, “Investigation of barriers for circular economy using Delphi, Best Worst Method, and EDAS: An application study in Turkey for a manufacturing company”, JTOM, c. 9, sy. 2, ss. 233–245, 2025, doi: 10.56554/jtom.1465973.
ISNAD Maden, Ayça. “Investigation of barriers for circular economy using Delphi, Best Worst Method, and EDAS: An application study in Turkey for a manufacturing company”. Journal of Turkish Operations Management 9/2 (Aralık2025), 233-245. https://doi.org/10.56554/jtom.1465973.
JAMA Maden A. Investigation of barriers for circular economy using Delphi, Best Worst Method, and EDAS: An application study in Turkey for a manufacturing company. JTOM. 2025;9:233–245.
MLA Maden, Ayça. “Investigation of barriers for circular economy using Delphi, Best Worst Method, and EDAS: An application study in Turkey for a manufacturing company”. Journal of Turkish Operations Management, c. 9, sy. 2, 2025, ss. 233-45, doi:10.56554/jtom.1465973.
Vancouver Maden A. Investigation of barriers for circular economy using Delphi, Best Worst Method, and EDAS: An application study in Turkey for a manufacturing company. JTOM. 2025;9(2):233-45.