Malvina Roci is a researcher in Circular Manufacturing Systems at KTH Royal Institute of Technology, Stockholm. Her research is focused on developing analysis methods and tools to support manufacturing industry in its transition from linear to circular manufacturing systems that are economically viable and environmentally sustainable. In particular, she employs complex systems modelling and simulation to capture the systemic and dynamic nature of circular manufacturing systems for enhanced decision-making.
Malvina holds a PhD in Circular Manufacturing Systems from KTH Royal Institute of Technology, Sweden. Additionally, she holds a M.Sc. in Production Engineering and Management from KTH Royal Institute of Technology, Sweden, and a B.Sc. in Industrial Engineering from Politecnico di Milano, Italy.
- H2020 ReCiPSS - Resource-efficient Circular Product-Service Systems: Large scale implementation of Circular Manufacturing Systems
- CATALY(C)ST - Youth Change makers as catalysts for a transition to a sustainable circular economy.
- CE@KTH - The KTH initiative on Circular Economy
- FP7 ResCoM - Resource Conservative Manufacturing :Developing a systems-led decision making tool and methodology to support manufacturers in transitioning to closed-loop industrial systems
- Produktion2030 CEPort - Material Passport : A digital platform for manufacturing industry to implement Circular Production Systems
- EUREKA Eurostars SerBIT - Integrated IT-platform to support OEMs in implementing Service Based Business Model
- Produktion2030 CiNergy-Circular Manufacturing in Energy Industry: An assessment of circular business model potential
MG2033 Quality Control - Lecturer inDesign of Experiments
MG2043 Circular Manufacturing Systems - Lecturer
 M. Roci and A. Rashid, “Economic and environmental impact of circular business models: A case study of White Goods-as-a-Service using multi-method simulation modelling,” J. Clean. Prod., 2023
 Roci, M., Salehi, N., Amir, S., Shoaib-ul-Hasan, S., Asif, F.M.A., Mihelič, A., Rashid, A., 2022. Towards Circular Manufacturing Systems implementation: A Complex Adaptive Systems perspective using modelling and simulation as a quantitative analysis tool. Sustain. Prod. Consum.
 Roci, M., Salehi, N., Amir, S., Asif, F.M.A., Shoaib-ul-Hasan, S., Rashid, A., 2022. Multi-method simulation modelling of Circular Manufacturing Systems for enhanced decision-making. MethodsX 101709.
 Rashid, A., Roci, M., Asif, F.M.A., 2020.Circular manufacturing systems, in: Brandão, M., Lazarevic, D., Finnveden, G (Eds.), Handbook of the Circular Economy. Edward Elgar Publishing, pp. 343–357.
 Asif, F.M.A., Roci, M., Lieder, M., Rashid, A., Mihelic, A., Kotnik, S., 2021.A methodological approach to design products for multiple lifecycles in the context of Circular Manufacturing Systems. J. Clean. Prod. 126534.
 Amir, S., Salehi, N., Roci, M., Sweet, S., Rashid, A., 2022. Towards circular economy: A guiding framework for circular supply chain implementation. Business Strategy and Environment.
 Shoaib-ul-Hasan, S., Roci, M., Asif, F. M. A., Salehi, N. & Rashid, A. (2021).Analyzing Temporal Variability in Inventory Data for Life Cycle Assessment : Implications in the Context of Circular Economy.Sustainability, 13(1).
 Amir S., Asif F.M.A., Roci M. (2021)Towards Circular Economy: Enhanced Decision-Making in Circular Manufacturing Systems. In: Bali Swain R., Sweet S. (eds) Sustainable Consumption and Production, Volume II. Palgrave Macmillan, Cham.
 Asif, F. M.A., Roci, M., Lieder, M., Rashid, A., Štimulak, M., Halvordsson, E., De Bruijckere, R. (2018).A practical ICT framework for transition to circular manufacturing systems. InProcedia CIRP. (pp. 598-602). Elsevier.
 Kokare, S., Asif, F.M.A., Mårtensson, G., Shoaib-ul-Hasan, S., Rashid, A., Roci, M., Salehi, N., 2021.A comparative life cycle assessment of stretchable and rigid electronics: a case study of cardiac monitoring devices. Int. J. Environ. Sci. Technol.
 de Giorgio, A., Roci, M., Maffei, A., Jocevski, M., Onori, M., Wang, L., 2021.Measuring the effect of automatically authored video aid on assembly time for procedural knowledge transfer among operators in adaptive assembly stations. Int. J. Prod. Res. 1–16.
 de Giorgio, A., Cacace, S., Maffei, A., Monetti, F.M., Roci, M., Onori, M., Wang, L., 2022.Assessing the influence of expert video aid on assembly learning curves. J. Manuf. Syst. 62, 263–269.
Minimizing Variation in Width and Height of Cutting Tool Inserts - Master thesis, 2016