Building a Digital Circular Economy for Electrical and Electronic Equipment

AMP Robotics. (n.d.). AMP Robotics: AI-powered sortation solutions. Retrieved from https://ampsortation.com/

Balde et al. (2024) The Global E-waste Monitor 2024. United Nations Institute for Training and Research (unitar).

Barteková, E., & Börkey, P. (2022). Digitalisation for the transition to a resource efficient and circular economy.

Circular Brain. (n.d.). Retrieved from https://circularbrain.io/

Daily, J., & Peterson, J. (2017). Predictive maintenance: How big data analysis can improve maintenance. Supply chain integration challenges in commercial aerospace: A comprehensive perspective on the aviation value chain, 267-278. http://dx.doi.org/10.1007/978-3-319-46155-7_18

EIT Manufacturing. (n.d.). Activities: RENEE. Retrieved from https://www.eitmanufacturing.eu/news-events/activities/renee/

Eswaran, M., & Bahubalendruni, M. R. (2022). Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review. Journal of Manufacturing Systems, 65, 260-278. https://doi.org/10.1016/j.jmsy.2022.09.016

Fernandes, L., Rosado da Cruz, A. M., Cruz, E. F., & Lopes, S. I. (2023). A review on adopting blockchain and IoT technologies for fostering the circular economy in the electrical and electronic equipment value chain. Sustainability, 15(5), 4574. http://dx.doi.org/10.3390/su15054574

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. https://doi.org/10.1016/j.jclepro.2016.12.048

HP. (n.d.). Instant Ink. Retrieved from https://instantink.hpconnected.com/uk/en/l/

Jalo, H., & Pirkkalainen, H. (2024). Effect of user resistance on the organizational adoption of extended reality technologies: A mixed methods study. International Journal of Information Management, 75, 102731. https://doi.org/10.1016/j.ijinfomgt.2023.102731

Kirchherr, J., Reike, D., & Hekkert, M. (2017). Conceptualizing the circular economy: An analysis of 114 definitions. Resources, conservation and recycling, 127, 221-232. https://doi.org/10.1016/j.resconrec.2017.09.005

Laskurain-Iturbe, I., Arana-Landín, G., Landeta-Manzano, B., & Uriarte-Gallastegi, N. (2021). Exploring the influence of industry 4.0 technologies on the circular economy. Journal of Cleaner Production, 321, 128944. https://doi.org/10.1016/j.jclepro.2021.128944

Lenovo. (n.d.). Down electronic waste with AI-powered device refurbishment. Retrieved from https://news.lenovo.com/down-electronic-waste-with-ai-powered-device-refurbishment/

Liao, H. Y., Esmaeilian, B., & Behdad, S. (2024). Automated evaluation and rating of product repairability using artificial intelligence-based approaches. Journal of Manufacturing Science and Engineering, 146(2). http://dx.doi.org/10.1115/1.4063561

Ligozat, A. L., Lefèvre, J., Bugeau, A., & Combaz, J. (2021). Unraveling the hidden environmental impacts of AI solutions for the environment. arXiv preprint arXiv:2110.11822. http://dx.doi.org/10.3390/su14095172

Motivo. (n.d.). Motivo: AI-powered solutions. Retrieved from https://motivo.ai/

Pagoropoulos, A., Pigosso, D. C., & McAloone, T. C. (2017). The emergent role of digital technologies in the Circular Economy: A review. Procedia cirp, 64, 19-24. https://doi.org/10.1016/j.procir.2017.02.047

Potting, J., Hekkert, M. P., Worrell, E., & Hanemaaijer, A. (2017). Circular economy: measuring innovation in the product chain. Planbureau voor de Leefomgeving, (2544).

Rao, C. H., Avinash, K., Varaprasad, B. K. S. V. L., & Goel, S. (2022). A review on printed electronics with digital 3D printing: fabrication techniques, materials, challenges and future opportunities. Journal of Electronic Materials, 51(6), 2747-2765. http://dx.doi.org/10.1007/s11664-022-09579-7

Recycleye. (n.d.). Recycleye: AI waste management solutions. Retrieved from https://recycleye.com/

Sherpa, Y., & Sinha, D. (2021). Digital solutions for a circular electronics value chain: A thought paper for International E-Waste Day 2021. International Telecommunication Union (ITU), WEEE Forum, GSMA, & Sofies Group. https://weee-forum.org/wp-content/uploads/2021/10/Thought-Paper-2021.pdf

Shin, W., Han, J., & Rhee, W. (2021). AI-assistance for predictive maintenance of renewable energy systems. Energy, 221, 119775. https://doi.org/10.1016/j.energy.2021.119775

Singh, N., Duan, H., & Tang, Y. (2020). Toxicity evaluation of E-waste plastics and potential repercussions for human health. Environment international, 137, 105559. https://doi.org/10.1016/j.envint.2020.105559

Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of business research, 70, 263-286. https://doi.org/10.1016/j.jbusres.2016.08.001

Sweep. (n.d.). SWEEEP Kuusakoski: AI WEEE sorting. Retrieved from https://recycleye.com/sweeep-kuusakoski-ai-weee-sorting/

Velos IoT. (n.d.). Improving waste management with smart bins. Retrieved from https://blog.velosiot.com/improving-waste-management-with-smart-bins

Zhang, T., & Kraisintu, K. (2011). The role of traceability in sustainable supply chain management.