DÖNGÜSEL EKONOMİYE GEÇİŞİ KOLAYLAŞTIRMADA YAPAY ZEKANIN ROLÜ

Yıl 2023, Cilt: 11 Sayı: 2, 369 - 389, 31.12.2023

Tufan Özsoy

https://doi.org/10.52122/nisantasisbd.1345828

Öz

Kaynakların olabildiğince uzun süre kullanımda tutulduğu ve atıkların en aza indirildiği döngüsel ekonomi kavramı iş dünyasında giderek daha fazla ilgi görmektedir. Teknolojinin, özellikle de yapay zekanın yardımıyla işletmeler ve diğer kurumlar kaynak kullanımını optimize edebilir, atık ve emisyonları azaltabilir ve kaynak geri kazanım ve geri dönüşüm süreçlerinin verimliliğini artırabilirler. Bu çalışma, döngüsel bir ekonomiye geçişi kolaylaştırmada yapay zekanın potansiyeline ilişkin sınırları tanımlamayı amaçlamaktadır. Bu derleme çalışması, döngüsel ekonomi kavramına ve potansiyel faydalarına genel bir bakış sağlayarak başlayacaktır. Daha sonra döngüsel uygulamaların hayata geçirilmesinde karşılaşılan mevcut zorluklar ve yapay zekanın bu zorlukların aşılmasına nasıl yardımcı olabileceği tartışılacaktır. Makale ayrıca döngüsel ekonomide yapay zeka kullanımının potansiyel risklerini ve sınırlamalarını da vurgulayacaktır. Çalışmanın döngüsel ekonomiye geçişte yapay zekadan nasıl etkili bir şekilde yararlanılacağı konusunda işletmeler ve politika yapıcılar için yol gösterici olacağı düşünülmektedir.

Anahtar Kelimeler

Döngüsel ekonomi, yapay zeka, sürdürülebilirlik, kaynak verimliliği, atık azaltma

THE ROLE OF ARTIFICIAL INTELLIGENCE IN FACILITATING THE TRANSITION TO A CIRCULAR ECONOMY

Öz

The concept of a circular economy, where resources are kept in use for as long as possible and waste is minimized, is gaining increasing attention in the business world. With the help of technology, particularly artificial intelligence (AI), businesses and other organizations can optimize resource use, reduce waste and emissions, and improve the efficiency of resource recovery and recycling processes. This manuscript aimed to draw the boundaries of the potential of AI in facilitating the transition to a circular economy. This review will begin by providing an overview of the circular economy concept and its potential benefits. It will then discuss the current challenges faced in realizing circular practices and how AI can help overcome these challenges. The paper will also highlight potential risks and limitations of using AI in the circular economy. The study is expected to offer guidance for businesses and policymakers on effectively utilizing artificial intelligence in the transition to a circular economy.

Anahtar Kelimeler

Circular economy, artificial intelligence, sustainability, resource efficiency, waste reduction.

Kaynakça

• Acerbi, F., Forterre, D. A., & Taisch, M. (2021). Role of AIin circular manufacturing: A systematic literature review. IFAC-PapersOnLine, 54(1), 367-372.
• Achouch, M., Dimitrova, M., Ziane, K., Sattarpanah Karganroudi, S., Dhouib, R., Ibrahim, H., & Adda, M. (2022). On predictive maintenance in industry 4.0: Overview, models, and challenges. Applied Sciences, 12(16), 8081.
• Ajwani-Ramchandani, R., Figueira, S., de Oliveira, R. T., Jha, S., Ramchandani, A., & Schuricht, L. (2021). Towards a circular economy for packaging waste by using new technologies: The case of large multinationals in emerging economies. Journal of Cleaner Production, 281, 125139.
• Akinode, J. L., & Oloruntoba, S. A. (2020). Artificial intelligence in the transition to circular economy. American Journal of Engineering Research, 9, 185-190.
• Antikainen, M., Uusitalo, T., & Kivikytö-Reponen, P. (2018). Digitalisation as an enabler of circular economy. Procedia Cirp, 73, 45-49.
• Arponen, J., Juvonen, L., & Vanne, P. (2018). Circular economy business models for the manufacturing industry. Circular Economy Playbook for Finnish SMEs.
• Awan, U., Sroufe, R., & Shahbaz, M. (2021). Industry 4.0 and the circular economy: A literature review and recommendations for future research. Business Strategy and the Environment, 30(4), 2038-2060
• Bag, S., & Pretorius, J. H. C. (2022). Relationships between industry 4.0, sustainable manufacturing and circular economy: proposal of a research framework. International Journal of Organizational Analysis, 30(4), 864-898.
• Blunck, E., & Werthmann, H. (2017). Industry 4.0–an opportunity to realize sustainable manufacturing and its potential for a circular economy. Dubrovnik International Economic Meeting, 3(1), 644-666.
• Bressanelli, G., Adrodegari, F., Perona, M., & Saccani, N. (2018). Exploring how usage-focused business models enable circular economy through digital technologies. Sustainability, 10(3), 639.
• Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey Global Institute, 4.
• Cerruti, C., & Valeri, A. (2022). AI-Powered Platforms: automated transactions in digital marketplaces. Dissertation, Master of Science in Business Administration, Università degli Studi di Roma "Tor Vergata" Department of Management and Law
• Chauhan, C., Parida, V., & Dhir, A. (2022). Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises. Technological Forecasting and Social Change, 177, 121508.
• Chauhan, C., Sharma, A., & Singh, A. (2019). A SAP-LAP linkages framework for integrating Industry 4.0 and circular economy. Benchmarking: An International Journal, 28(5), 1638-1664.
• Chen, J., Lim, C. P., Tan, K. H., Govindan, K., & Kumar, A. (2021). Artificial intelligence-based human-centric decision support framework: an application to predictive maintenance in asset management under pandemic environments. Annals of Operations Research, 1-24.
• Cioffi, R., Travaglioni, M., Piscitelli, G., Petrillo, A., & Parmentola, A. (2020). Smart manufacturing systems and applied industrial technologies for a sustainable industry: A systematic literature review. Applied Sciences, 10(8), 2897.
• da Silva, T. H. H., & Sehnem, S. (2022). The circular economy and Industry 4.0: Synergies and challenges. Revista de Gestão, 29(3), 300-313.
• Demestichas, K., & Daskalakis, E. (2020). Information and communication technology solutions for the circular economy. Sustainability, 12(18), 7272.
• Ellen MacArthur Foundation (2022). Completing the Picture: How the Circular Economy Tackles Climate Change.
• Ellen MacArthur Foundation (2019). Artificial Intelligence and the Circular Economy–AI as a Tool to Accelerate the Transition.
• Ellen MacArthur Foundation (2014). Towards the circular economy: Accelerating the scale-up across global supply chains. In World Economic Forum.
• Ellen MacArthur Foundation. (2013). Towards the circular economy: Economic and business rationale for an accelerated transition.
• Elliot, S. (2011). Transdisciplinary perspectives on environmental sustainability: a resource base and framework for IT-enabled business transformation. Mis quarterly, 197-236.
• European Commission. (2019). EU construction sector: in transition towards a circular economy. European Construction Sector Observatory
• Fischer, A., & Pascucci, S. (2017). Institutional incentives in circular economy transition: The case of material use in the Dutch textile industry. Journal of cleaner production, 155, 17-32.
• Garcia-Muiña, F. E., González-Sánchez, R., Ferrari, A. M., & Settembre-Blundo, D. (2018). The paradigms of Industry 4.0 and circular economy as enabling drivers for the competitiveness of businesses and territories: The case of an Italian ceramic tiles manufacturing company. Social Sciences, 7(12), 255.
• Geissdoerfer, M., Savaget, P., Bocken, N. M., & Hultink, E. J. (2017). The Circular Economy–A new sustainability paradigm?. Journal of Cleaner Production, 143, 757-768.
• Ghisellini, P., Cialani, C., & Ulgiati, S. (2016). A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems. Journal of Cleaner production, 114, 11-32.
• Ghoreishi, M., & Happonen, A. (2020). Key enablers for deploying AIfor circular economy embracing sustainable product design: Three case studies. In AIP conference proceedings (Vol. 2233, No. 1). AIP Publishing.
• Ghoreishi, M., Treves, L., Teplov, R., & Pynnönen, M. (2023). The Impact of Artificial Intelligence on Circular Value Creation for Sustainable Development Goals. In The Ethics of Artificial Intelligence for the Sustainable Development Goals (pp. 347-363). Cham: Springer International Publishing.
• Han, Y., Shevchenko, T., Yannou, B., Ranjbari, M., Shams Esfandabadi, Z., Saidani, M., ... & Li, G. (2023). Exploring How Digital Technologies Enable a Circular Economy of Products. Sustainability, 15(3), 2067.
• Hayes, J. (2021). AI gets picky about recycling [Recycling-Robotics]. Engineering & Technology, 16(9), 28-31.
• International Labour Organization (ILO). (2018). World employment and social outlook 2018: Greening with jobs.
• Ingemarsdotter, E., Jamsin, E., Kortuem, G., & Balkenende, R. (2019). Circular strategies enabled by the internet of things—A framework and analysis of current practice. Sustainability, 11(20), 5689.
• Kerin, M., & Pham, D. T. (2019). A review of emerging industry 4.0 technologies in remanufacturing. Journal of Cleaner Production, 237, 117805.
• Khajuria, A. (2021). Nexus of circular economy and industry 4.0 to achieve the UN sustainable development goals. The International Journal of Engineering and Science, 10(12), 30-34.
• Kintscher, L., Lawrenz, S., Poschmann, H., & Sharma, P. (2020). Recycling 4.0-Digitalization as a Key for the Advanced Circular Economy. J. Commun., 15(9), 652-660.
• Kirchherr, J., & Piscicelli, L. (2019). Towards an education for the circular economy (ECE): five teaching principles and a case study. Resources, Conservation and Recycling, 150, 104406.
• Kirchherr, J., Reike, D., & Hekkert, M. (2018). Conceptualizing the circular economy: An analysis of 114 definitions. Resources, Conservation and Recycling, 135, 109-122. doi: 10.1016/j.resconrec.2018.03.003
• Kortelainen, H., Happonen, A., & Hanski, J. (2019). From asset provider to knowledge company—Transformation in the digital era. In Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery (pp. 333-341). Springer International Publishing.
• Lacy, P., & Rutqvist, J. (2015). Waste to wealth: The circular economy advantage (Vol. 91). London: Palgrave Macmillan.
• Lanzafame, R. J. (2015). Value creation, value capture, and the Internet of Things. Deloitte University Press, (17), 50-65.
• Leire, C. (2018). Sustainable and regenerative design. In Handbook of Sustainable Design (pp. 71-92). Springer, Cham.
• Liu, L., Song, W., & Liu, Y. (2023). Leveraging digital capabilities toward a circular economy: Reinforcing sustainable supply chain management with Industry 4.0 technologies. Computers & Industrial Engineering, 178, 109113.
• Mboli, J. S., Thakker, D., & Mishra, J. L. (2022). An Internet of Things‐enabled decision support system for circular economy business model. Software: Practice and Experience, 52(3), 772-787.
• McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A proposal for the dartmouth summer research project on artificial intelligence, august 31, 1955. AI magazine, 27(4), 12-12.
• McKinsey Global Institute (2019). Notes from the AI frontier: Tackling Bias in AI (and in Humans); McKinsey Global Institute: Washington, DC, USA,
• Ness, D. (2008). Sustainable urban infrastructure in China: Towards a Factor 10 improvement in resource productivity through integrated infrastructure systems. The International Journal of Sustainable Development & World Ecology, 15(4), 288-301.
• Noman, A. A., Akter, U. H., Pranto, T. H., & Haque, A. K. M. (2022). Machine learning and AIin circular economy: a bibliometric analysis and systematic literature review. Annals of Emerging Technologies in Computing (AETiC), 6(2), 13-40.
• Onyeaka, H., Tamasiga, P., Nwauzoma, U. M., Miri, T., Juliet, U. C., Nwaiwu, O., & Akinsemolu, A. A. (2023). Using AIto tackle food waste and enhance the circular economy: Maximising resource efficiency and Minimising environmental impact: A review. Sustainability, 15(13), 10482.
• Ortega-Fernandez, A., Martin-Rojas, R., & Garcia-Morales, V. J. (2020). Artificial intelligence in the urban environment: Smart cities as models for developing innovation and sustainability. Sustainability, 12(19), 7860.
• Pathan, M. S., Richardson, E., Galvan, E., & Mooney, P. (2023). The Role of Artificial Intelligence within Circular Economy Activities—A View from Ireland. Sustainability, 15(12), 9451.
• Pluta, A., & Rudawska, A. (2016). Holistic approach to human resources and organizational acceleration. Journal of Organizational Change Management, 29(2), 293-309.
• Porter, M. E., & Heppelmann, J. E. (2014). Spotlight on managing the Internet Of Things how smart, connected products are transforming competition. Harvard Business Review, 92(11), 65-88.
• Ramadoss, T. S., Alam, H., & Seeram, R. (2018). Artificial intelligence and Internet of Things enabled circular economy. The International Journal of Engineering and Science, 7(9), 55-63.
• Rao, A. S., & Verweij, G. (2017). Sizing the prize: What’s the real value of AI for your business and how can you capitalise. PwC Publication, PwC, 1-30.
• Roberts, H., Zhang, J., Bariach, B., Cowls, J., Gilburt, B., Juneja, P., ... & Floridi, L. (2022). Artificial intelligence in support of the circular economy: ethical considerations and a path forward. Ai & Society, 1-14.
• Ronaghi, M. H. (2022). The influence of AIadoption on circular economy practices in manufacturing industries. Environment, Development and Sustainability, 1-26.
• Sabrina, F., Sohail, S., Farid, F., Jahan, S., Ahamed, F., & Gordon, S. (2022). An interpretable AIbased smart agriculture system. Computers, Materials & Continua, 3777-3797.
• Sharma, S., Gahlawat, V. K., Rahul, K., Mor, R. S., & Malik, M. (2021). Sustainable innovations in the food industry through AIand big data analytics. Logistics, 5(4), 66.
• Simmons, A. B., & Chappell, S. G. (1988). Artificial intelligence-definition and practice. IEEE journal of oceanic engineering, 13(2), 14-42.
• Stankovic, M., Gupta, R., Figueroa, J., Authried, O., & Rueth, T. (2017). Industry 4.0: Opportunities behind the challenge. In Background Paper for UNIDO General Conference (Vol. 17, pp. 2017-11).
• Svorobej, S., Takako Endo, P., Bendechache, M., Filelis-Papadopoulos, C., Giannoutakis, K. M., Gravvanis, G. A., ... & Lynn, T. (2019). Simulating fog and edge computing scenarios: An overview and research challenges. Future Internet, 11(3), 55.
• Şerban, A. C., & Lytras, M. D. (2020). Artificial intelligence for smart renewable energy sector in europe—smart energy infrastructures for next generation smart cities. IEEE access, 8, 77364-77377.
• Tiippana-Usvasalo, M., Pajunen, N., & Maria, H. (2023). The role of education in promoting circular economy. International Journal of Sustainable Engineering, 16(1), 92-103.
• Toop, T. A., Ward, S., Oldfield, T., Hull, M., Kirby, M. E., & Theodorou, M. K. (2017). AgroCycle–developing a circular economy in agriculture. Energy Procedia, 123, 76-80.
• Bianchini, A., Rossi, J., & Pellegrini, M. (2019). Overcoming the main barriers of circular economy implementation through a new visualization tool for circular business models. Sustainability, 11(23), 6614.
• Wang, L. (2011). Study on the flexible developing model of circular economy of coal enterprise. In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC) (pp. 1562-1565). IEEE.
• Wang, L., Liu, Z., Liu, A., & Tao, F. (2021). Artificial intelligence in product lifecycle management. The International Journal of Advanced Manufacturing Technology, 114, 771-796.
• Widianto, M. H., Ardimansyah, M. I., Pohan, H. I., & Hermanus, D. R. (2022). A systematic review of current trends in AIfor smart farming to enhance crop yield. Journal of Robotics and Control, 3(3), 269-278.
• Wilts, H., Garcia, B. R., Garlito, R. G., Gómez, L. S., & Prieto, E. G. (2021). Artificial intelligence in the sorting of municipal waste as an enabler of the circular economy. Resources, 10(4), 28.
• World Economic Forum. (2020). Raising Ambitions: A New Roadmap for the Automotive Circular Economy.
• Yigitcanlar, T., & Cugurullo, F. (2020). The sustainability of artificial intelligence: An urbanistic viewpoint from the lens of smart and sustainable cities. Sustainability, 12(20), 8548.
• Zota, R. D., Cîmpeanu, I. A., & Dragomir, D. A. (2023). Use and Design of Chatbots for the Circular Economy. Sensors, 23(11), 4990.